Tags

3D Plots: 1 AI: 1 ARIMA: 1 AWS: 6 Agile Framework: 1 Amadeus: 1 Anomaly Detection: 1 BI: 1 BSPF: 6 Backtesting: 3 Blue Ocean Strategy: 1 Bootstrap: 3 Business Analysis: 8 Business Scientist: 2 Business Understanding: 13 COVID-19: 1 CRISP-DM: 4 CRM: 1 Case Study: 1 Cheatsheet: 3 Churn: 5 Classification: 1 Code: 1 Community Detection: 3 Consulting: 1 Coronavirus: 1 Course Launch: 1 Customer Analytics: 1 Customer Segmentation: 3 DALEX: 1 DBI: 1 DMAIC: 1 DS4B: 5 DS4B 101-P: 1 DS4B 101-R: 2 DS4B 102-R: 2 DS4B 201-R: 11 DS4B 202-R: 3 DS4B 203-R: 2 Data Mining: 1 Data Science: 33 Data Science For Business: 1 Data Science Team: 1 DataExplorer: 2 Datapasta: 1 Deep Learning: 3 Docker: 4 Drake: 1 EARL: 2 EDA: 1 Education: 1 Employee Attrition: 2 Employee Turnover: 6 Energy: 1 Environmental: 1 Excel: 4 Expected Value: 2 Feature Engineering: 1 Financial Analysis: 1 For-Loop: 1 Forecasting: 2 Framework: 1 GGally: 2 GGplot: 1 Geo Mapping: 1 Getting Started: 1 Git: 3 Google Cloud: 1 H2O: 5 HR 201: 1 HR Analytics: 6 Human Resources: 4 IDE: 1 IML: 1 InfoSec: 1 IoT: 2 K-Means: 1 Kaggle Competitions: 1 Keras: 3 LIME: 1 Leaflet: 1 Leanr-Finance: 1 Learn Marketing: 1 Learn-Business: 23 Learn-Finance: 18 Learn-Machine-Learning: 40 Learn-Marketing: 17 Learn-Python: 20 Learn-R: 171 Learn-Shiny: 2 Learn-Timeseries: 32 Learning Data Science: 3 Logistic Regression: 1 MBA: 1 Machine Learning: 4 Mage: 1 Marketing: 4 MongoDB: 3 Monte Carlo: 1 Multiple Cores: 2 Neural Network: 1 OpenAI: 1 PCA: 2 PDF: 2 Parallel Processing: 3 Partnerships: 1 People Analytics: 4 PerformanceAnalytics: 3 Predictive Web Apps: 1 Principles By Ray Dalio: 1 Product Backorders: 1 Project Management: 2 Purrr: 1 Py-Tips: 1 Python: 15 Python-Bloggers: 2 Quandl: 2 Quantopian: 1 R: 168 R Studio: 1 R for Business: 3 R-Blogger: 1 R-Bloggers: 166 R-Project: 82 R-Tips: 44 RMarkdown: 3 RSTudio: 1 RStudio: 1 Real Estate: 1 Reports: 1 Rmarkdown: 4 SQL: 2 Sales Analytics: 1 Sales Data Scientist: 1 Salesforce: 1 Scikit-Learn: 2 Scraping: 1 Shiny: 12 Simulation: 1 Stock Analysis: 10 Strategy: 1 SweetViz: 1 TTR: 8 Teams: 4 TensorFlow: 4 Text Analysis: 1 Tidymodels: 1 Tidyverse: 9 Time Series: 7 TimeSeries: 3 Timetk: 1 Trading Algorithms: 1 Trading Strategy: 7 UMAP: 1 Web Applications: 1 Web Scraping: 3 Webscraping: 2 Xaringan: 1 Zipline: 1 alphavantager: 1 anomalize: 4 bikes data set: 4 broom: 2 caret: 1 chatgpt: 5 correlation: 1 correlationfunnel: 2 corrplot: 1 corrr: 4 cowplot: 1 cranlogs: 4 crosstalk: 1 dalex: 2 data.table: 3 dataframe: 1 datatable: 3 dials: 1 dplyr: 14 dtplyr: 2 dygraphs: 1 easystats: 1 esquisse: 1 excel: 1 explore: 1 flyingfox: 1 forecast: 1 fs: 1 funkyheatmap: 1 furrr: 1 fuzzyjoin: 1 ggalt: 3 ggdist: 1 ggforce: 1 gghalves: 1 ggplot: 12 ggplot2: 17 ggradar: 1 ggstatsplot: 1 gmailr: 1 googlesheets: 1 grafify: 1 gt: 1 gtExtras: 1 gtrendsR: 1 h2o: 11 igraph: 1 iml: 1 infer: 1 iterative forecasting: 1 jsonlite: 1 keras: 4 kmeans: 2 learning-lab: 1 lime: 7 matplotlib: 2 modelStudio: 1 modeltime: 11 modeltime.ensemble: 2 modeltime.h2o: 1 multidplyr: 2 networkD3: 1 numpy: 1 orderSimulatoR: 1 osmdata: 1 padr: 1 pandas: 5 pandas profiling: 1 parallel: 2 parallel processing: 2 parsnip: 3 pdp: 1 performance: 1 plotly: 3 plotnine: 4 plumber: 1 portfoliodown: 2 postman: 1 prcomp: 1 production: 1 purrr: 4 purrr. correlationfunnel: 1 pytimetk: 1 quantmod: 8 r-finance: 1 radar plot: 1 radiant : 1 radix: 1 ranger: 1 rayshader: 1 recipes: 9 reports: 1 reticulate: 6 rsample: 5 rstudioconf: 1 rvest: 6 scikit-learn: 2 seaborn: 2 shiny: 9 shinyMobile: 1 silhouette: 1 siuba: 1 skimr: 6 sklearn: 1 spark: 1 sweep: 3 tabulizer: 2 tibbletime: 8 tidyclust: 1 tidygeocoder: 1 tidymodels: 2 tidyquant: 21 tidyr: 5 tidyverse: 29 timekit: 4 timekitr: 1 timeseries: 1 timetk: 18 tune: 1 umap: 1 vip: 1 visualization: 2 workflows: 1 xgboost: 2 xts: 9 yardstick: 5 zillow: 1 zoo: 8

3D Plots

How to Make 3D Plots in R

AI

Agile Framework For Creating An ROI-Driven Data Science Practice

ARIMA

Forecasting Time Series ARIMA Models (10 Must-Know Tidyverse Functions #5)

AWS

5 Reasons You Should Learn Shiny

Docker for Data Science: An Important Skill for 2021 [Video]

NEW BOOK - The Shiny Production with AWS Book

Part 1 - Five Full Stack Data Science Technologies for 2020 (and Beyond)

Expert Shiny Developer with AWS - Course Launch Today!

Course Launch - Expert Shiny Developer with AWS in 7 Days!

Agile Framework

Agile Framework For Creating An ROI-Driven Data Science Practice

Amadeus

Case Study: How To Build A High Performance Data Science Team

Anomaly Detection

Information Security: Anomaly Detection and Threat Hunting with Anomalize

BI

Marketing Strategy: Why MBAs Can Benefit from Learning Analytics

BSPF

2 Critical Factors to Learn Data Science

Data Science Workflow - The Process for Solving Data Problems

Build A R Shiny App (Tutorial) - Wedding Risk Model

Data Science With R Course Series - Week 1

Agile Framework For Creating An ROI-Driven Data Science Practice

How To Solve 90% of Business Problems with Data Science (The Business Science Problem Framework)

Backtesting

Time Series Analysis: KERAS LSTM Deep Learning - Part 2

Algorithmic Trading: Using Quantopian's Zipline Python Library In R And Backtest Optimizations By Grid Search And Parallel Processing

Time Series Analysis: KERAS LSTM Deep Learning - Part 1

Blue Ocean Strategy

Unlocking Blue Oceans with Data Science

Bootstrap

5 Reasons You Should Learn Shiny

Expert Shiny Developer with AWS - Course Launch Today!

Course Launch - Expert Shiny Developer with AWS in 7 Days!

Business Analysis

2 Critical Factors to Learn Data Science

Data Science Workflow - The Process for Solving Data Problems

Building APIs with plumber - New Learning Lab 1-Hour Course

Predictive Web Applications for Business with R Shiny - Course is Open!!!

Finance in R with tidyquant - New Learning Lab 1-Hour Course

New Learning Lab 1-Hour Course - Build A Strategic Database With Web Scraping

Data Science Course Launch Today - Business Analysis With R Now Open!

Course Launch - Business Analysis With R in 8 Days!

Business Scientist

TBS 002: The Insider Secrets Of Data Science Consulting

TBS 001: The D.A.A. Method

Business Understanding

Customer Segmentation and RFM Analysis with K-Means Clustering - Part 2

Targeted Marketing with Customer Segmentation and RFM Analysis - Part 1

Marketing Analytics - Fast-Food Promotion Effectiveness

Data Science With R Course Series - Week 10

Data Science With R Course Series - Week 9

Data Science With R Course Series - Week 8

Data Science With R Course Series - Week 7

Marketing Analytics and Data Science

Data Science With R Course Series - Week 6

Data Science With R Course Series - Week 5

Data Science With R Course Series - Week 4

Data Science With R Course Series - Week 3

Data Science With R Course Series - Week 2

COVID-19

3 Free Resources to Learn R - Now Open

CRISP-DM

2 Critical Factors to Learn Data Science

Data Science Workflow - The Process for Solving Data Problems

Agile Framework For Creating An ROI-Driven Data Science Practice

How To Solve 90% of Business Problems with Data Science (The Business Science Problem Framework)

CRM

Marketing Strategy: Why MBAs Can Benefit from Learning Analytics

Case Study

Case Study: How To Build A High Performance Data Science Team

Cheatsheet

Data Science In R - The Ultimate R Cheat Sheet - The Ultimateness Just Doubled!

Ultimate Python Cheat Sheet: Data Science Workflow with Python

R Cheat Sheet: Data Science Workflow with R

Churn

DALEX: Interpretable Machine Learning Algorithms with Dalex and H2O

New Course Content: DS4B 201 Chapter 7, The Expected Value Framework For Modeling Churn With H2O

Data Science for Business: 3 Reasons Why You Need the Expected Value Framework

LIME: Machine Learning Model Interpretability with LIME

Customer Analytics: Using Deep Learning With Keras To Predict Customer Churn

Classification

Build and Evaluate A Logistic Regression Classifier

Code

A Data Scientist's Resources

Community Detection

Customer Segmentation Part 3: Network Visualization

Customer Segmentation Part 2: PCA for Segment Visualization

Customer Segmentation Part 1: K Means Clustering

Consulting

How I Started My Data Science Business

Coronavirus

3 Free Resources to Learn R - Now Open

Course Launch

Predictive Web Applications for Business with R Shiny - Course is Open!!!

Customer Analytics

Customer Analytics: Using Deep Learning With Keras To Predict Customer Churn

Customer Segmentation

Customer Segmentation Part 3: Network Visualization

Customer Segmentation Part 2: PCA for Segment Visualization

Customer Segmentation Part 1: K Means Clustering

DALEX

DALEX: Interpretable Machine Learning Algorithms with Dalex and H2O

DBI

How to Write SQL From R

DMAIC

Agile Framework For Creating An ROI-Driven Data Science Practice

DS4B

IML: Machine Learning Model Interpretability And Feature Explanation with IML and H2O

How To Complete A Kaggle Competition In 30 Minutes - Home Credit Default Challenge

DALEX: Interpretable Machine Learning Algorithms with Dalex and H2O

LIME: Machine Learning Model Interpretability with LIME

How To Solve 90% of Business Problems with Data Science (The Business Science Problem Framework)

DS4B 101-P

Course Launch: Python for Data Science Automation in 7 Days!

DS4B 101-R

Data Science Course Launch Today - Business Analysis With R Now Open!

Course Launch - Business Analysis With R in 8 Days!

DS4B 102-R

Introducing the Ultimate R Cheat Sheet Version 2.0: The Shinyverse

Predictive Web Applications for Business with R Shiny - Course is Open!!!

DS4B 201-R

Marketing Analytics - Fast-Food Promotion Effectiveness

Data Science With R Course Series - Week 10

Data Science With R Course Series - Week 9

Data Science With R Course Series - Week 8

Data Science With R Course Series - Week 7

Data Science With R Course Series - Week 6

Data Science With R Course Series - Week 5

Data Science With R Course Series - Week 4

Data Science With R Course Series - Week 3

Data Science With R Course Series - Week 2

Data Science With R Course Series - Week 1

DS4B 202-R

5 Reasons You Should Learn Shiny

Expert Shiny Developer with AWS - Course Launch Today!

Course Launch - Expert Shiny Developer with AWS in 7 Days!

DS4B 203-R

Time Series Forecasting Course - Now Available

Course Launch: High-Performance Time Series Forecasting in 7 Days!

Data Mining

orderSimulatoR: Simulate Orders for Business Analytics

Data Science

Course Launch: Python for Data Science Automation in 7 Days!

5 Reasons You Should Learn Shiny

Time Series Forecasting Course - Now Available

Course Launch: High-Performance Time Series Forecasting in 7 Days!

Expert Shiny Developer with AWS - Course Launch Today!

Course Launch - Expert Shiny Developer with AWS in 7 Days!

2 Critical Factors to Learn Data Science

Data Science Workflow - The Process for Solving Data Problems

Introducing the Ultimate R Cheat Sheet Version 2.0: The Shinyverse

Building APIs with plumber - New Learning Lab 1-Hour Course

Predictive Web Applications for Business with R Shiny - Course is Open!!!

Finance in R with tidyquant - New Learning Lab 1-Hour Course

Customer Segmentation and RFM Analysis with K-Means Clustering - Part 2

3 Simple Rules For Getting Results With Data Science (A Story About Learning From Failure)

New Learning Lab 1-Hour Course - Build A Strategic Database With Web Scraping

Targeted Marketing with Customer Segmentation and RFM Analysis - Part 1

Data Science Course Launch Today - Business Analysis With R Now Open!

Course Launch - Business Analysis With R in 8 Days!

Marketing Analytics - Fast-Food Promotion Effectiveness

Data Science With R Course Series - Week 10

Data Science With R Course Series - Week 9

Data Science With R Course Series - Week 8

Data Science With R Course Series - Week 7

Marketing Analytics and Data Science

Data Science With R Course Series - Week 6

Data Science With R Course Series - Week 5

Data Science With R Course Series - Week 4

Data Science With R Course Series - Week 3

Data Science With R Course Series - Week 2

Data Science With R Course Series - Week 1

Agile Framework For Creating An ROI-Driven Data Science Practice

Press Release: Business Science Partners With Method Data Science To Accelerate Your Data Science Career

How To Solve 90% of Business Problems with Data Science (The Business Science Problem Framework)

Data Science For Business

How To Solve 90% of Business Problems with Data Science (The Business Science Problem Framework)

Data Science Team

Case Study: How To Build A High Performance Data Science Team

DataExplorer

DataExplorer: Exploratory Data Analysis in R

Product Price Prediction: A Tidy Hyperparameter Tuning and Cross Validation Tutorial

Datapasta

Webscraping Tables in R: Datapasta Copy-and-Paster

Deep Learning

Time Series Analysis for Business Forecasting with Artificial Neural Networks

Time Series Analysis: KERAS LSTM Deep Learning - Part 2

Time Series Analysis: KERAS LSTM Deep Learning - Part 1

Docker

Docker for Data Science: An Important Skill for 2021 [Video]

NEW BOOK - The Shiny Production with AWS Book

Part 1 - Five Full Stack Data Science Technologies for 2020 (and Beyond)

Part 3 - Docker for Data Scientists (A Top Skill for 2020)

Drake

Using Drake for ETL - Building A Shiny Real Estate App

EARL

EARL Presentation on HR Analytics: Using ML to Predict Employee Turnover

Business Science EARL SF 2017 Presentation: tidyquant, timekit, and more!

EDA

Assess Your DATA QUALITY in R with skimr

Education

Press Release: Business Science Partners With Method Data Science To Accelerate Your Data Science Career

Employee Attrition

DALEX: Interpretable Machine Learning Algorithms with Dalex and H2O

LIME: Machine Learning Model Interpretability with LIME

Employee Turnover

DALEX: Interpretable Machine Learning Algorithms with Dalex and H2O

New Course Content: DS4B 201 Chapter 7, The Expected Value Framework For Modeling Churn With H2O

Data Science for Business: 3 Reasons Why You Need the Expected Value Framework

LIME: Machine Learning Model Interpretability with LIME

LIVE DataTalk on HR Analytics Tonight: Using Machine Learning to Predict Employee Turnover

HR Analytics: Using Machine Learning to Predict Employee Turnover

Energy

Analyzing Solar Power Energy (IoT Analysis)

Environmental

Analyzing Solar Power Energy (IoT Analysis)

Excel

How to Make Publication-Quality Excel Pivot Tables with R

Excel to R, Part 2 - Speed Up Exploratory Data Analysis 100X (R Code!)

Excel to R, Part 1 - The 10X Productivity Boost

A Data Scientist's Resources

Expected Value

New Course Content: DS4B 201 Chapter 7, The Expected Value Framework For Modeling Churn With H2O

Data Science for Business: 3 Reasons Why You Need the Expected Value Framework

Feature Engineering

Full Feature Engineering Tutorial with Max Kuhn

Financial Analysis

Algorithmic Trading: Using Quantopian's Zipline Python Library In R And Backtest Optimizations By Grid Search And Parallel Processing

For-Loop

3 Ways to Read Multiple CSV Files: For-Loop, Map, List Comprehension

Forecasting

Hierarchical Time Series Forecasting [Full Code Tutorial]

Time Series Demand Forecasting

Framework

How To Solve 90% of Business Problems with Data Science (The Business Science Problem Framework)

GGally

Data Science For Business: Course Now Open!

Data Science For Business: Course Launch In 5 Days!!!

GGplot

How to Automate Exploratory Analysis Plots

Geo Mapping

How To Make Geographic Map Visualizations In R

Getting Started

Data Science With R Course Series - Week 1

Git

NEW BOOK - The Shiny Production with AWS Book

Part 4 - Git for Data Science Applications (A Top Skill for 2020)

Part 1 - Five Full Stack Data Science Technologies for 2020 (and Beyond)

Google Cloud

Data Engineering in R: How to Build Your First Data Pipeline with R, Mage, and Google Cloud Platform (in under 45 Minutes)

H2O

Part 5 - Five Reasons to Learn H2O for High-Performance Machine Learning

Part 1 - Five Full Stack Data Science Technologies for 2020 (and Beyond)

IML: Machine Learning Model Interpretability And Feature Explanation with IML and H2O

How To Complete A Kaggle Competition In 30 Minutes - Home Credit Default Challenge

DALEX: Interpretable Machine Learning Algorithms with Dalex and H2O

HR 201

Data Science For Business: Course Now Open!

HR Analytics

New Course Content: DS4B 201 Chapter 7, The Expected Value Framework For Modeling Churn With H2O

Data Science for Business: 3 Reasons Why You Need the Expected Value Framework

Data Science For Business: Course Now Open!

Data Science For Business: Course Launch In 5 Days!!!

EARL Presentation on HR Analytics: Using ML to Predict Employee Turnover

LIVE DataTalk on HR Analytics Tonight: Using Machine Learning to Predict Employee Turnover

Human Resources

DALEX: Interpretable Machine Learning Algorithms with Dalex and H2O

New Course Content: DS4B 201 Chapter 7, The Expected Value Framework For Modeling Churn With H2O

Data Science for Business: 3 Reasons Why You Need the Expected Value Framework

LIME: Machine Learning Model Interpretability with LIME

IDE

Python Integration in RStudio - Data Science IDE Review

IML

IML: Machine Learning Model Interpretability And Feature Explanation with IML and H2O

InfoSec

Information Security: Anomaly Detection and Threat Hunting with Anomalize

IoT

30 Year Weather Data Analysis

Analyzing Solar Power Energy (IoT Analysis)

K-Means

New Cheat Sheet - Customer Segmentation and Clustering Workflow

Kaggle Competitions

How To Complete A Kaggle Competition In 30 Minutes - Home Credit Default Challenge

Keras

How to Set Up TensorFlow 2 in R in 5 Minutes (BONUS Image Recognition Tutorial)

Time Series Analysis: KERAS LSTM Deep Learning - Part 2

Time Series Analysis: KERAS LSTM Deep Learning - Part 1

LIME

LIME: Machine Learning Model Interpretability with LIME

Leaflet

Enhance Your Storytelling - Interactive Slide Decks with Rmarkdown

Leanr-Finance

tidyquant 0.3.0: ggplot2 Enhancements, Real-Time Data, and More

Learn Marketing

Marketing Analytics - Fast-Food Promotion Effectiveness

Learn-Business

What kind of job can you get if you master machine learning?

Part 6 - R Shiny vs Tableau (3 Business Application Examples)

tidyquant v1.0.0: Pivot Tables, VLOOKUPs in R

R for Excel Users: Pivot Tables, VLOOKUPs in R

Part 5 - Five Reasons to Learn H2O for High-Performance Machine Learning

Part 4 - Git for Data Science Applications (A Top Skill for 2020)

Part 1 - Five Full Stack Data Science Technologies for 2020 (and Beyond)

Part 3 - Docker for Data Scientists (A Top Skill for 2020)

Part 2 - Data Science with AWS (A Top Skill for 2020)

Unlocking Blue Oceans with Data Science

How I Started My Data Science Business

Excel to R, Part 2 - Speed Up Exploratory Data Analysis 100X (R Code!)

2 Critical Factors to Learn Data Science

Data Science Workflow - The Process for Solving Data Problems

3 Simple Rules For Getting Results With Data Science (A Story About Learning From Failure)

A/B Testing with Machine Learning - A Step-by-Step Tutorial

New Cheat Sheet - Customer Segmentation and Clustering Workflow

Excel to R, Part 1 - The 10X Productivity Boost

Case Study: How To Build A High Performance Data Science Team

Agile Framework For Creating An ROI-Driven Data Science Practice

Data Science for Business: 3 Reasons Why You Need the Expected Value Framework

How To Solve 90% of Business Problems with Data Science (The Business Science Problem Framework)

HR Analytics: Using Machine Learning to Predict Employee Turnover

Learn-Finance

Finance in R - Evaluating American Funds Portfolio

tidyquant v1.0.0: Pivot Tables, VLOOKUPs in R

R for Excel Users: Pivot Tables, VLOOKUPs in R

Tidy Discounted Cash Flow Analysis in R (for Company Valuation)

Big Data: Wrangling 4.6M Rows with dtplyr (the NEW data.table backend for dplyr)

How To Become A Financial Data Scientist (Or A Data Scientist In Any Domain)

Finance in R with tidyquant - New Learning Lab 1-Hour Course

How To Complete A Kaggle Competition In 30 Minutes - Home Credit Default Challenge

Algorithmic Trading: Using Quantopian's Zipline Python Library In R And Backtest Optimizations By Grid Search And Parallel Processing

tidyquant: New Tools for Performing Financial Analysis within the Tidy Ecosystem

tidyquant 0.5.0: select, rollapply, and Quandl

tidyquant Integrates Quandl: Getting Data Just Got Easier

tidyquant 0.4.0: PerformanceAnalytics, Improved Documentation, ggplot2 Themes and More

Recreating RView's ''Reproducible Finance With R: Sector Correlations''

tidyquant 0.2.0: Added Functionality for Financial Engineers and Business Analysts

tidyquant: Bringing Quantitative Financial Analysis to the tidyverse

Russell 2000 Quantitative Stock Analysis in R: Six Stocks with Amazing, Consistent Growth

Quantitative Stock Analysis Tutorial: Screening the Returns for Every S&P500 Stock in Less than 5 Minutes

Learn-Machine-Learning

Tidy Time Series Forecasting in R with Spark

Introducing Iterative (Nested) Forecasting with Modeltime

Forecasting Many Time Series (Using NO For-Loops)

Hyperparameter Tuning Forecasts in Parallel with Modeltime

Introducing Modeltime Recursive: Tidy Autoregressive Forecasting with Lags

Introducing Modeltime H2O: Automatic Forecasting with H2O AutoML

Introducing Modeltime Ensemble: Time Series Forecast Stacking

Time Series in 5-Minutes, Part 6: Modeling Time Series Data

Time Series in 5-Minutes, Part 5: Anomaly Detection

Time Series in 5-Minutes, Part 4: Seasonality

Time Series in 5-Minutes, Part 1: Data Wrangling and Rolling Calculations

Introducing Modeltime: Tidy Time Series Forecasting using Tidymodels

Time Series in 5-Minutes, Part 3: Autocorrelation and Cross Correlation

Time Series in 5-Minutes, Part 2: Visualization with the Time Plot

Timetk: Visualize Time Series Data (in 1-Line of Code)

How to Set Up TensorFlow 2 in R in 5 Minutes (BONUS Image Recognition Tutorial)

How to Set Up Python's Scikit-Learn in R in 5 minutes

Product Price Prediction: A Tidy Hyperparameter Tuning and Cross Validation Tutorial

Customer Churn Modeling using Machine Learning with parsnip

Big Data: Wrangling 4.6M Rows with dtplyr (the NEW data.table backend for dplyr)

Introducing correlationfunnel v0.1.0 - Speed Up Exploratory Data Analysis by 100X

Time Series Analysis for Business Forecasting with Artificial Neural Networks

IML: Machine Learning Model Interpretability And Feature Explanation with IML and H2O

How To Complete A Kaggle Competition In 30 Minutes - Home Credit Default Challenge

DALEX: Interpretable Machine Learning Algorithms with Dalex and H2O

New Course Content: DS4B 201 Chapter 7, The Expected Value Framework For Modeling Churn With H2O

Time Series Analysis: KERAS LSTM Deep Learning - Part 2

LIME: Machine Learning Model Interpretability with LIME

Data Science For Business: Course Now Open!

Data Science For Business: Course Launch In 5 Days!!!

Time Series Analysis: KERAS LSTM Deep Learning - Part 1

Anomaly Detection Using Tidy and Anomalize

Customer Analytics: Using Deep Learning With Keras To Predict Customer Churn

Demo Week: Time Series Machine Learning with h2o and timetk

LIVE DataTalk on HR Analytics Tonight: Using Machine Learning to Predict Employee Turnover

Predictive Sales Analytics: Use Machine Learning to Predict and Optimize Product Backorders

HR Analytics: Using Machine Learning to Predict Employee Turnover

Customer Segmentation Part 3: Network Visualization

Customer Segmentation Part 2: PCA for Segment Visualization

Customer Segmentation Part 1: K Means Clustering

Learn-Marketing

Shiny Real Estate with Zillow API (Free Course)

Google Trends Email Automation with Shiny

Product Price Prediction: A Tidy Hyperparameter Tuning and Cross Validation Tutorial

Customer Churn Modeling using Machine Learning with parsnip

Introducing correlationfunnel v0.1.0 - Speed Up Exploratory Data Analysis by 100X

Excel to R, Part 2 - Speed Up Exploratory Data Analysis 100X (R Code!)

Customer Segmentation and RFM Analysis with K-Means Clustering - Part 2

A/B Testing with Machine Learning - A Step-by-Step Tutorial

Targeted Marketing with Customer Segmentation and RFM Analysis - Part 1

New Cheat Sheet - Customer Segmentation and Clustering Workflow

Excel to R, Part 1 - The 10X Productivity Boost

Marketing Analytics and Data Science

Customer Analytics: Using Deep Learning With Keras To Predict Customer Churn

Customer Segmentation Part 3: Network Visualization

Customer Segmentation Part 2: PCA for Segment Visualization

Customer Segmentation Part 1: K Means Clustering

Marketing Strategy: Why MBAs Can Benefit from Learning Analytics

Learn-Python

Introducing Pytimetk: Time Series Analysis in Python

Why learning Python is hard (but important) for Data Scientists that use R

The 14 most important data science skills (To get a $50,000 increase in salary)

3 Ways to Read Multiple CSV Files: For-Loop, Map, List Comprehension

SweetViz: Automated Exploratory Data Analysis (EDA) in Python

R is for Research, Python is for Production

sklearn: Make your first linear regression model in Python [Video]

plotnine: Make great-looking correlation plots in Python

Siuba: Data wrangling with dplyr in Python

Pandas Profiling: Make Exploratory Data Analysis Reports

Course Launch: Python for Data Science Automation in 7 Days!

R is for Research, Python is for Production

Should you learn Python or R in 2021?

R/Python Teams Course Announcement

Web Scraping and Analyzing Home Rentals (Python + R)

Python and R - Part 2: Visualizing Data with Plotnine

Python and R - Part 1: Exploring Data with Datatable

Python Integration in RStudio - Data Science IDE Review

Ultimate Python Cheat Sheet: Data Science Workflow with Python

R and Python: How to Integrate the Best of Both into Your Data Science Workflow

Learn-R

How to Make Mobile Apps with R Shiny

How to Scrape PDF Documents and Search PDFs with OpenAI LLMs (in R)

Make Microsoft Word Reports with R + officedown

XGBoost: Tuning the Hyperparameters (My Secret 2 Step Process in R)

The Top 5 Time Series Analysis Concepts (that helped me the most in my career)

Introduction to A/B Testing in R (For Marketing Analytics)

Data Engineering in R: How to Build Your First Data Pipeline with R, Mage, and Google Cloud Platform (in under 45 Minutes)

How to Make a Data Science Portfolio Website (in Under 15 Minutes with R)

Introducing anomalize for timetk in R (For Time Series Anomaly Detection)

ChatGPT: How to use ChatGPT to make a Shiny App (an Excel Analyzer)

Top 9 R packages (that every Data Scientist must know)

ChatGPT: How to automate Google Sheets in under 2 minutes (with R)

How to make Data Visualizations THAT GO VIRAL (with ggplot2 in R)

How to make Ridiculous Tables in R (from Excel)

How to use ChatGPT for Time Series in R

A Gentle Introduction to K-Means Clustering in R (Feat. Tidyclust)

How to improve your storytelling with R

How to R code faster with ChatGPT

ChatGPT: Made this Shiny App in 10 Minutes

How To Geocode In R For FREE

Exploratory DataXray Analysis (EDXA)

How to make a plot with two different y-axis in R with ggplot2? (a secret ggplot2 hack)

ggradar: radar plots with ggplot in R

explore: simplified exploratory data analysis (EDA) in R

ggdensity: A new R package for plotting high-density regions

modelDown: Automate Explainable AI (Machine Learning) in R

Survival Analysis in R (in under 10-minutes)

The Most Overlooked R Package (That Can Get You Through A Data Science Job Interview)

How I analyze 100+ ggplots at once

What is the Career Path for a Data Scientist? (From $75,000 to $150,000 salary in 1-year)

The 14 most important data science skills (To get a $50,000 increase in salary)

My 4 most important explainable AI visualizations (modelStudio)

A new R package for Business Analytics... radiant

Introducing portfoliodown: The Data Science Portfolio Website Builder

How to Make a Heatmap in R

Tidy Parallel Processing in R with furrr

ggalt: Make a Lollipop Plot to Compare Categories in ggplot2

ggalt: Make a Dumbbell Plot to Visualize Change in ggplot2

ggforce: Make a Hull Plot to Visualize Clusters in ggplot2

ggdist: Make a Raincloud Plot to Visualize Distribution in ggplot2

easystats: Quickly investigate model performance

R is for Research, Python is for Production

Gentle Introduction to Forecasting with Modeltime [Video Tutorial]

grafify: Make 5 powerful ggplot2 graphs quickly with R

Siuba: Data wrangling with dplyr in Python

gghalves: Make Half Boxplot | Half Dotplot Visualizations with ggplot2

DataEditR: The GUI for Interactive Dataframe Editing in R

ggside: A new R package for plotting distributions in side-plots

patchwork: ggplot2 plot combiner

mmtable2: ggplot2 for tables

ggplot2 Extension: corrmorrant for Flexible Correlation Plots in R

Webscraping Tables in R: Datapasta Copy-and-Paster

Enhance Your Storytelling - Interactive Slide Decks with Rmarkdown

Make PDF Data Analysis Reports with R | Rmarkdown Visual Editor

Build GGPLOT Code with Tableau Drag-and-Drop (R esquisse)

A Gentle Introduction to R Shiny

Assess Your DATA QUALITY in R with skimr

Hierarchical Time Series Forecasting [Full Code Tutorial]

DataExplorer: Exploratory Data Analysis in R

5 Reasons You Should Learn Shiny

How to Add Shiny to Rmarkdown

R is for Research, Python is for Production

Predictive Power Score vs CorrelationFunnel

Full Feature Engineering Tutorial with Max Kuhn

Make Awesome Statistical Plots in R

Should I Become a Data Scientist or Data Analyst?

4 Ways to make Data Frames in R!

Should you learn Python or R in 2021?

How to Write SQL From R

What kind of job can you get if you master machine learning?

How to Handle Missing Data in R with simputation

R/Python Teams Course Announcement

How to Make 3D Plots in R

6 Life-Altering RStudio Keyboard Shortcuts

Plotting Time Series in R (New Cyberpunk Theme)

Build and Evaluate A Logistic Regression Classifier

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Detect Relationships With Linear Regression (10 Must-Know Tidyverse Functions #4)

10 Must-Know Tidyverse Functions: #3 - Pivot Wider and Longer

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10 Must-Know Tidyverse Functions: #2 - across()

10 Must-Know Tidyverse Functions: #1 - relocate()

How to Visualize Time Series Data: Tidy Forecasting in R

How to Automate PDF Reporting with R

How to Make Publication-Quality Excel Pivot Tables with R

How to Automate Exploratory Analysis Plots

How to Automate Excel with R

Top 5 Best Articles on R for Business [September 2020]

Finance in R - Evaluating American Funds Portfolio

Using Drake for ETL - Building A Shiny Real Estate App

How to Automate PowerPoint Slidedecks with R

How to Scrape Word Documents with R

How To Get My Company To Pay For My Data Science Courses

Win Data Science Competitions with Shiny

From No-Shiny Experience to Deploying My First Shiny App in 3-Months

How One Student Landed a VP-Level Analytics Role at a Major Bank

How to Set Up TensorFlow 2 in R in 5 Minutes (BONUS Image Recognition Tutorial)

How to Set Up Python's Scikit-Learn in R in 5 minutes

Increase Your Salary With Data Science Skills

3 Free Resources to Learn R - Now Open

Time Series Machine Learning (and Feature Engineering) in R

Part 6 - R Shiny vs Tableau (3 Business Application Examples)

tidyquant v1.0.0: Pivot Tables, VLOOKUPs in R

R for Excel Users: Pivot Tables, VLOOKUPs in R

Tidy Discounted Cash Flow Analysis in R (for Company Valuation)

Shiny Real Estate with Zillow API (Free Course)

Google Trends Email Automation with Shiny

Product Price Prediction: A Tidy Hyperparameter Tuning and Cross Validation Tutorial

Part 5 - Five Reasons to Learn H2O for High-Performance Machine Learning

NEW BOOK - The Shiny Production with AWS Book

Part 4 - Git for Data Science Applications (A Top Skill for 2020)

Part 1 - Five Full Stack Data Science Technologies for 2020 (and Beyond)

How I Landed My Data Science Job

Part 3 - Docker for Data Scientists (A Top Skill for 2020)

Customer Churn Modeling using Machine Learning with parsnip

Is Your Job's Data Science Tech Stack Intimidating?

Part 2 - Data Science with AWS (A Top Skill for 2020)

Apply Data Science to Improve Addiction Treatment

Web Scraping Product Data in R with rvest and purrr

Cleaning Anomalies to Reduce Forecast Error by 9% with anomalize

PDF Scraping in R with tabulizer

Big Data: Wrangling 4.6M Rows with dtplyr (the NEW data.table backend for dplyr)

Introducing correlationfunnel v0.1.0 - Speed Up Exploratory Data Analysis by 100X

How I Started My Data Science Business

Excel to R, Part 2 - Speed Up Exploratory Data Analysis 100X (R Code!)

Build A R Shiny App (Tutorial) - Wedding Risk Model

Introducing the Ultimate R Cheat Sheet Version 2.0: The Shinyverse

How To Become A Financial Data Scientist (Or A Data Scientist In Any Domain)

A/B Testing with Machine Learning - A Step-by-Step Tutorial

New Cheat Sheet - Customer Segmentation and Clustering Workflow

Excel to R, Part 1 - The 10X Productivity Boost

Data Science In R - The Ultimate R Cheat Sheet - The Ultimateness Just Doubled!

Time Series Analysis for Business Forecasting with Artificial Neural Networks

R Cheat Sheet: Data Science Workflow with R

R and Python: How to Integrate the Best of Both into Your Data Science Workflow

How To Complete A Kaggle Competition In 30 Minutes - Home Credit Default Challenge

DALEX: Interpretable Machine Learning Algorithms with Dalex and H2O

New Course Content: DS4B 201 Chapter 7, The Expected Value Framework For Modeling Churn With H2O

Data Science For Business: Course Now Open!

Data Science For Business: Course Launch In 5 Days!!!

How To Learn R, Part 1: Learn From A Master Data Scientist's Code

The Tidy Time Series Platform: tibbletime 0.1.0

6 Reasons To Learn R For Business

Demo Week: Time Series Machine Learning with h2o and timetk

Demo Week: Tidy Time Series Analysis with tibbletime

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Demo Week: Tidy Forecasting with sweep

Demo Week: Time Series Machine Learning with timetk

Demo Week: class(Monday) <- tidyquant

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It's tibbletime: Time-Aware Tibbles

alphavantager: An R interface to the Free Alpha Vantage Financial Data API

BizSci Package Updates: Formerly timekit... Now timetk :)

sweep: Extending broom for time series forecasting

timekit: New Documentation, Function Improvements, Forecasting Vignette

tidyquant: New Tools for Performing Financial Analysis within the Tidy Ecosystem

timekit: Time Series Forecast Applications Using Data Mining

tidyquant 0.5.0: select, rollapply, and Quandl

tidyquant Integrates Quandl: Getting Data Just Got Easier

tidyquant 0.4.0: PerformanceAnalytics, Improved Documentation, ggplot2 Themes and More

tidyquant 0.3.0: ggplot2 Enhancements, Real-Time Data, and More

Speed Up Your Code Part 2: Parallel Processing Financial Data with multidplyr + tidyquant

tidyquant 0.2.0: Added Functionality for Financial Engineers and Business Analysts

tidyquant: Bringing Quantitative Financial Analysis to the tidyverse

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Learn-Shiny

Part 6 - R Shiny vs Tableau (3 Business Application Examples)

Build A R Shiny App (Tutorial) - Wedding Risk Model

Learn-Timeseries

Tidy Time Series Forecasting in R with Spark

Introducing Iterative (Nested) Forecasting with Modeltime

Forecasting Many Time Series (Using NO For-Loops)

Gentle Introduction to Forecasting with Modeltime [Video Tutorial]

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Introducing Modeltime Recursive: Tidy Autoregressive Forecasting with Lags

Introducing Modeltime H2O: Automatic Forecasting with H2O AutoML

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Time Series in 5-Minutes, Part 6: Modeling Time Series Data

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Time Series in 5-Minutes, Part 5: Anomaly Detection

Course Launch: High-Performance Time Series Forecasting in 7 Days!

Time Series in 5-Minutes, Part 4: Seasonality

Time Series in 5-Minutes, Part 1: Data Wrangling and Rolling Calculations

Introducing Modeltime: Tidy Time Series Forecasting using Tidymodels

Time Series in 5-Minutes, Part 3: Autocorrelation and Cross Correlation

Time Series in 5-Minutes, Part 2: Visualization with the Time Plot

Timetk: Visualize Time Series Data (in 1-Line of Code)

Time Series Machine Learning (and Feature Engineering) in R

Cleaning Anomalies to Reduce Forecast Error by 9% with anomalize

Time Series Analysis for Business Forecasting with Artificial Neural Networks

Time Series Analysis: KERAS LSTM Deep Learning - Part 2

Information Security: Anomaly Detection and Threat Hunting with Anomalize

Algorithmic Trading: Using Quantopian's Zipline Python Library In R And Backtest Optimizations By Grid Search And Parallel Processing

Time Series Analysis: KERAS LSTM Deep Learning - Part 1

Tidy Time Series Analysis, Part 4: Lags and Autocorrelation

Tidy Time Series Analysis, Part 3: The Rolling Correlation

Tidy Time Series Analysis, Part 2: Rolling Functions

sweep: Extending broom for time series forecasting

Tidy Time Series Analysis, Part 1

tidyquant 0.5.0: select, rollapply, and Quandl

tidyquant Integrates Quandl: Getting Data Just Got Easier

Learning Data Science

6 Reasons To Learn R For Business [2021]

How To Learn R, Part 1: Learn From A Master Data Scientist's Code

6 Reasons To Learn R For Business

Logistic Regression

Build and Evaluate A Logistic Regression Classifier

MBA

Marketing Strategy: Why MBAs Can Benefit from Learning Analytics

Machine Learning

Full Feature Engineering Tutorial with Max Kuhn

What kind of job can you get if you master machine learning?

Docker for Data Science: An Important Skill for 2021 [Video]

Agile Framework For Creating An ROI-Driven Data Science Practice

Mage

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Marketing

Customer Segmentation and RFM Analysis with K-Means Clustering - Part 2

Targeted Marketing with Customer Segmentation and RFM Analysis - Part 1

Marketing Analytics and Data Science

Marketing Strategy: Why MBAs Can Benefit from Learning Analytics

MongoDB

5 Reasons You Should Learn Shiny

Expert Shiny Developer with AWS - Course Launch Today!

Course Launch - Expert Shiny Developer with AWS in 7 Days!

Monte Carlo

Quantitative Stock Analysis Tutorial: Screening the Returns for Every S&P500 Stock in Less than 5 Minutes

Multiple Cores

Speed Up Your Code Part 2: Parallel Processing Financial Data with multidplyr + tidyquant

Speed Up Your Code: Parallel Processing with multidplyr

Neural Network

Time Series Analysis for Business Forecasting with Artificial Neural Networks

OpenAI

How to Scrape PDF Documents and Search PDFs with OpenAI LLMs (in R)

PCA

Interactive Principal Component Analysis in R

Customer Segmentation Part 2: PCA for Segment Visualization

PDF

Make PDF Data Analysis Reports with R | Rmarkdown Visual Editor

How to Automate PDF Reporting with R

Parallel Processing

Algorithmic Trading: Using Quantopian's Zipline Python Library In R And Backtest Optimizations By Grid Search And Parallel Processing

Speed Up Your Code Part 2: Parallel Processing Financial Data with multidplyr + tidyquant

Speed Up Your Code: Parallel Processing with multidplyr

Partnerships

Press Release: Business Science Partners With Method Data Science To Accelerate Your Data Science Career

People Analytics

New Course Content: DS4B 201 Chapter 7, The Expected Value Framework For Modeling Churn With H2O

Data Science for Business: 3 Reasons Why You Need the Expected Value Framework

Data Science For Business: Course Now Open!

Data Science For Business: Course Launch In 5 Days!!!

PerformanceAnalytics

Finance in R - Evaluating American Funds Portfolio

tidyquant: New Tools for Performing Financial Analysis within the Tidy Ecosystem

tidyquant 0.4.0: PerformanceAnalytics, Improved Documentation, ggplot2 Themes and More

Predictive Web Apps

Predictive Web Applications for Business with R Shiny - Course is Open!!!

Principles By Ray Dalio

How To Solve 90% of Business Problems with Data Science (The Business Science Problem Framework)

Product Backorders

Predictive Sales Analytics: Use Machine Learning to Predict and Optimize Product Backorders

Project Management

Agile Framework For Creating An ROI-Driven Data Science Practice

How To Solve 90% of Business Problems with Data Science (The Business Science Problem Framework)

Purrr

How to Automate Exploratory Analysis Plots

Py-Tips

Introducing Pytimetk: Time Series Analysis in Python

Python

Introducing Pytimetk: Time Series Analysis in Python

Why learning Python is hard (but important) for Data Scientists that use R

The 14 most important data science skills (To get a $50,000 increase in salary)

Course Launch: Python for Data Science Automation in 7 Days!

Web Scraping and Analyzing Home Rentals (Python + R)

Python and R - Part 2: Visualizing Data with Plotnine

Python and R - Part 1: Exploring Data with Datatable

How to Set Up TensorFlow 2 in R in 5 Minutes (BONUS Image Recognition Tutorial)

How to Set Up Python's Scikit-Learn in R in 5 minutes

Python Integration in RStudio - Data Science IDE Review

Ultimate Python Cheat Sheet: Data Science Workflow with Python

R and Python: How to Integrate the Best of Both into Your Data Science Workflow

Case Study: How To Build A High Performance Data Science Team

Press Release: Business Science Partners With Method Data Science To Accelerate Your Data Science Career

A Data Scientist's Resources

Python-Bloggers

3 Ways to Read Multiple CSV Files: For-Loop, Map, List Comprehension

SweetViz: Automated Exploratory Data Analysis (EDA) in Python

Quandl

tidyquant 0.5.0: select, rollapply, and Quandl

tidyquant Integrates Quandl: Getting Data Just Got Easier

Quantopian

Algorithmic Trading: Using Quantopian's Zipline Python Library In R And Backtest Optimizations By Grid Search And Parallel Processing

R

How to Make Mobile Apps with R Shiny

How to Scrape PDF Documents and Search PDFs with OpenAI LLMs (in R)

Make Microsoft Word Reports with R + officedown

XGBoost: Tuning the Hyperparameters (My Secret 2 Step Process in R)

The Top 5 Time Series Analysis Concepts (that helped me the most in my career)

Introduction to A/B Testing in R (For Marketing Analytics)

Data Engineering in R: How to Build Your First Data Pipeline with R, Mage, and Google Cloud Platform (in under 45 Minutes)

How to Make a Data Science Portfolio Website (in Under 15 Minutes with R)

Introducing anomalize for timetk in R (For Time Series Anomaly Detection)

ChatGPT: How to use ChatGPT to make a Shiny App (an Excel Analyzer)

Top 9 R packages (that every Data Scientist must know)

ChatGPT: How to automate Google Sheets in under 2 minutes (with R)

How to make Data Visualizations THAT GO VIRAL (with ggplot2 in R)

How to make Ridiculous Tables in R (from Excel)

How to use ChatGPT for Time Series in R

A Gentle Introduction to K-Means Clustering in R (Feat. Tidyclust)

How to improve your storytelling with R

How to R code faster with ChatGPT

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How To Geocode In R For FREE

Exploratory DataXray Analysis (EDXA)

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ggdensity: A new R package for plotting high-density regions

modelDown: Automate Explainable AI (Machine Learning) in R

Survival Analysis in R (in under 10-minutes)

The Most Overlooked R Package (That Can Get You Through A Data Science Job Interview)

How I analyze 100+ ggplots at once

What is the Career Path for a Data Scientist? (From $75,000 to $150,000 salary in 1-year)

The 14 most important data science skills (To get a $50,000 increase in salary)

My 4 most important explainable AI visualizations (modelStudio)

A new R package for Business Analytics... radiant

Introducing portfoliodown: The Data Science Portfolio Website Builder

Tidy Time Series Forecasting in R with Spark

Introducing Iterative (Nested) Forecasting with Modeltime

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Introducing Modeltime Recursive: Tidy Autoregressive Forecasting with Lags

Introducing Modeltime H2O: Automatic Forecasting with H2O AutoML

5 Reasons You Should Learn Shiny

4 Ways to make Data Frames in R!

How to Write SQL From R

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How to Make 3D Plots in R

6 Life-Altering RStudio Keyboard Shortcuts

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Detect Relationships With Linear Regression (10 Must-Know Tidyverse Functions #4)

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10 Must-Know Tidyverse Functions: #3 - Pivot Wider and Longer

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10 Must-Know Tidyverse Functions: #2 - across()

Python and R - Part 1: Exploring Data with Datatable

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How to Automate PDF Reporting with R

How to Make Publication-Quality Excel Pivot Tables with R

Introducing Modeltime Ensemble: Time Series Forecast Stacking

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How to Scrape Word Documents with R

Time Series in 5-Minutes, Part 6: Modeling Time Series Data

Time Series Forecasting Course - Now Available

Time Series in 5-Minutes, Part 5: Anomaly Detection

Course Launch: High-Performance Time Series Forecasting in 7 Days!

Time Series in 5-Minutes, Part 4: Seasonality

Time Series in 5-Minutes, Part 1: Data Wrangling and Rolling Calculations

Introducing Modeltime: Tidy Time Series Forecasting using Tidymodels

Time Series in 5-Minutes, Part 3: Autocorrelation and Cross Correlation

Time Series in 5-Minutes, Part 2: Visualization with the Time Plot

Timetk: Visualize Time Series Data (in 1-Line of Code)

Expert Shiny Developer with AWS - Course Launch Today!

Expert Shiny Developer with AWS - Course Launch Today!

Course Launch - Expert Shiny Developer with AWS in 7 Days!

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2 Critical Factors to Learn Data Science

Data Science Workflow - The Process for Solving Data Problems

Introducing the Ultimate R Cheat Sheet Version 2.0: The Shinyverse

Building APIs with plumber - New Learning Lab 1-Hour Course

Predictive Web Applications for Business with R Shiny - Course is Open!!!

Finance in R with tidyquant - New Learning Lab 1-Hour Course

Customer Segmentation and RFM Analysis with K-Means Clustering - Part 2

3 Simple Rules For Getting Results With Data Science (A Story About Learning From Failure)

New Learning Lab 1-Hour Course - Build A Strategic Database With Web Scraping

Targeted Marketing with Customer Segmentation and RFM Analysis - Part 1

Data Science In R - The Ultimate R Cheat Sheet - The Ultimateness Just Doubled!

Data Science Course Launch Today - Business Analysis With R Now Open!

Course Launch - Business Analysis With R in 8 Days!

Marketing Analytics - Fast-Food Promotion Effectiveness

Time Series Analysis for Business Forecasting with Artificial Neural Networks

Data Science With R Course Series - Week 10

Data Science With R Course Series - Week 9

Data Science With R Course Series - Week 8

R Cheat Sheet: Data Science Workflow with R

Data Science With R Course Series - Week 7

Marketing Analytics and Data Science

Data Science With R Course Series - Week 6

Data Science With R Course Series - Week 5

Data Science With R Course Series - Week 4

R and Python: How to Integrate the Best of Both into Your Data Science Workflow

Data Science With R Course Series - Week 3

Data Science With R Course Series - Week 2

Data Science With R Course Series - Week 1

Case Study: How To Build A High Performance Data Science Team

Agile Framework For Creating An ROI-Driven Data Science Practice

IML: Machine Learning Model Interpretability And Feature Explanation with IML and H2O

How To Complete A Kaggle Competition In 30 Minutes - Home Credit Default Challenge

DALEX: Interpretable Machine Learning Algorithms with Dalex and H2O

Press Release: Business Science Partners With Method Data Science To Accelerate Your Data Science Career

New Course Content: DS4B 201 Chapter 7, The Expected Value Framework For Modeling Churn With H2O

Data Science for Business: 3 Reasons Why You Need the Expected Value Framework

Time Series Analysis: KERAS LSTM Deep Learning - Part 2

LIME: Machine Learning Model Interpretability with LIME

Information Security: Anomaly Detection and Threat Hunting with Anomalize

Algorithmic Trading: Using Quantopian's Zipline Python Library In R And Backtest Optimizations By Grid Search And Parallel Processing

Data Science For Business: Course Now Open!

Data Science For Business: Course Launch In 5 Days!!!

Time Series Analysis: KERAS LSTM Deep Learning - Part 1

Anomaly Detection Using Tidy and Anomalize

How To Learn R, Part 1: Learn From A Master Data Scientist's Code

The Tidy Time Series Platform: tibbletime 0.1.0

6 Reasons To Learn R For Business

Customer Analytics: Using Deep Learning With Keras To Predict Customer Churn

EARL Presentation on HR Analytics: Using ML to Predict Employee Turnover

Demo Week: Time Series Machine Learning with h2o and timetk

Demo Week: Tidy Time Series Analysis with tibbletime

LIVE DataTalk on HR Analytics Tonight: Using Machine Learning to Predict Employee Turnover

Demo Week: Tidy Forecasting with sweep

Demo Week: Time Series Machine Learning with timetk

Demo Week: class(Monday) <- tidyquant

Predictive Sales Analytics: Use Machine Learning to Predict and Optimize Product Backorders

It's tibbletime v0.0.2: Time-Aware Tibbles, New Functions, Weather Analysis and More

HR Analytics: Using Machine Learning to Predict Employee Turnover

It's tibbletime: Time-Aware Tibbles

alphavantager: An R interface to the Free Alpha Vantage Financial Data API

Tidy Time Series Analysis, Part 4: Lags and Autocorrelation

Tidy Time Series Analysis, Part 3: The Rolling Correlation

BizSci Package Updates: Formerly timekit... Now timetk :)

Tidy Time Series Analysis, Part 2: Rolling Functions

sweep: Extending broom for time series forecasting

Tidy Time Series Analysis, Part 1

Business Science EARL SF 2017 Presentation: tidyquant, timekit, and more!

tidyquant: R/Finance 2017 Presentation

timekit: New Documentation, Function Improvements, Forecasting Vignette

tidyquant: New Tools for Performing Financial Analysis within the Tidy Ecosystem

timekit: Time Series Forecast Applications Using Data Mining

tidyquant 0.5.0: select, rollapply, and Quandl

tidyquant Integrates Quandl: Getting Data Just Got Easier

tidyquant 0.4.0: PerformanceAnalytics, Improved Documentation, ggplot2 Themes and More

Recreating RView's ''Reproducible Finance With R: Sector Correlations''

tidyquant 0.3.0: ggplot2 Enhancements, Real-Time Data, and More

Speed Up Your Code Part 2: Parallel Processing Financial Data with multidplyr + tidyquant

tidyquant 0.2.0: Added Functionality for Financial Engineers and Business Analysts

tidyquant: Bringing Quantitative Financial Analysis to the tidyverse

Speed Up Your Code: Parallel Processing with multidplyr

Russell 2000 Quantitative Stock Analysis in R: Six Stocks with Amazing, Consistent Growth

Quantitative Stock Analysis Tutorial: Screening the Returns for Every S&P500 Stock in Less than 5 Minutes

Customer Segmentation Part 3: Network Visualization

Customer Segmentation Part 2: PCA for Segment Visualization

Customer Segmentation Part 1: K Means Clustering

orderSimulatoR: Simulate Orders for Business Analytics

A Data Scientist's Resources

R Studio

Make PDF Data Analysis Reports with R | Rmarkdown Visual Editor

R for Business

Building APIs with plumber - New Learning Lab 1-Hour Course

Finance in R with tidyquant - New Learning Lab 1-Hour Course

New Learning Lab 1-Hour Course - Build A Strategic Database With Web Scraping

R-Blogger

Web Scraping and Analyzing Home Rentals (Python + R)

R-Bloggers

How to Make Mobile Apps with R Shiny

How to Scrape PDF Documents and Search PDFs with OpenAI LLMs (in R)

Make Microsoft Word Reports with R + officedown

XGBoost: Tuning the Hyperparameters (My Secret 2 Step Process in R)

The Top 5 Time Series Analysis Concepts (that helped me the most in my career)

Introduction to A/B Testing in R (For Marketing Analytics)

Data Engineering in R: How to Build Your First Data Pipeline with R, Mage, and Google Cloud Platform (in under 45 Minutes)

How to Make a Data Science Portfolio Website (in Under 15 Minutes with R)

Introducing anomalize for timetk in R (For Time Series Anomaly Detection)

ChatGPT: How to use ChatGPT to make a Shiny App (an Excel Analyzer)

Introducing Pytimetk: Time Series Analysis in Python

Top 9 R packages (that every Data Scientist must know)

ChatGPT: How to automate Google Sheets in under 2 minutes (with R)

How to make Data Visualizations THAT GO VIRAL (with ggplot2 in R)

How to make Ridiculous Tables in R (from Excel)

How to use ChatGPT for Time Series in R

A Gentle Introduction to K-Means Clustering in R (Feat. Tidyclust)

How to improve your storytelling with R

Why learning Python is hard (but important) for Data Scientists that use R

How to R code faster with ChatGPT

How I Went From A Mechanical Engineer To The Director Of Sales Engineering Using Time Series Forecasting

ChatGPT: Made this Shiny App in 10 Minutes

How To Geocode In R For FREE

Exploratory DataXray Analysis (EDXA)

How to make a plot with two different y-axis in R with ggplot2? (a secret ggplot2 hack)

ggradar: radar plots with ggplot in R

explore: simplified exploratory data analysis (EDA) in R

ggdensity: A new R package for plotting high-density regions

modelDown: Automate Explainable AI (Machine Learning) in R

Survival Analysis in R (in under 10-minutes)

The Most Overlooked R Package (That Can Get You Through A Data Science Job Interview)

How I analyze 100+ ggplots at once

The 14 most important data science skills (To get a $50,000 increase in salary)

My 4 most important explainable AI visualizations (modelStudio)

A new R package for Business Analytics... radiant

Introducing portfoliodown: The Data Science Portfolio Website Builder

Tidy Time Series Forecasting in R with Spark

How to Make a Heatmap in R

Tidy Parallel Processing in R with furrr

Introducing Iterative (Nested) Forecasting with Modeltime

ggalt: Make a Lollipop Plot to Compare Categories in ggplot2

ggalt: Make a Dumbbell Plot to Visualize Change in ggplot2

ggforce: Make a Hull Plot to Visualize Clusters in ggplot2

ggdist: Make a Raincloud Plot to Visualize Distribution in ggplot2

Forecasting Many Time Series (Using NO For-Loops)

easystats: Quickly investigate model performance

R is for Research, Python is for Production

Gentle Introduction to Forecasting with Modeltime [Video Tutorial]

plotnine: Make great-looking correlation plots in Python

Hyperparameter Tuning Forecasts in Parallel with Modeltime

grafify: Make 5 powerful ggplot2 graphs quickly with R

Siuba: Data wrangling with dplyr in Python

gghalves: Make Half Boxplot | Half Dotplot Visualizations with ggplot2

DataEditR: The GUI for Interactive Dataframe Editing in R

ggside: A new R package for plotting distributions in side-plots

patchwork: ggplot2 plot combiner

mmtable2: ggplot2 for tables

ggplot2 Extension: corrmorrant for Flexible Correlation Plots in R

Webscraping Tables in R: Datapasta Copy-and-Paster

Not data.table vs dplyr... data.table + dplyr!

Introducing Modeltime Recursive: Tidy Autoregressive Forecasting with Lags

Enhance Your Storytelling - Interactive Slide Decks with Rmarkdown

Make PDF Data Analysis Reports with R | Rmarkdown Visual Editor

Build GGPLOT Code with Tableau Drag-and-Drop (R esquisse)

A Gentle Introduction to R Shiny

Introducing Modeltime H2O: Automatic Forecasting with H2O AutoML

Assess Your DATA QUALITY in R with skimr

Hierarchical Time Series Forecasting [Full Code Tutorial]

DataExplorer: Exploratory Data Analysis in R

5 Reasons You Should Learn Shiny

How to Add Shiny to Rmarkdown

R is for Research, Python is for Production

Predictive Power Score vs CorrelationFunnel

Full Feature Engineering Tutorial with Max Kuhn

Make Awesome Statistical Plots in R

4 Ways to make Data Frames in R!

Should you learn Python or R in 2021?

How to Write SQL From R

How to Handle Missing Data in R with simputation

R/Python Teams Course Announcement

How to Make 3D Plots in R

30 Year Weather Data Analysis

6 Life-Altering RStudio Keyboard Shortcuts

Plotting Time Series in R (New Cyberpunk Theme)

Build and Evaluate A Logistic Regression Classifier

6 Reasons To Learn R For Business [2021]

Interactive Principal Component Analysis in R

How To Make Geographic Map Visualizations In R

Top 5 Best Articles on R for Business [November 2020]

Docker for Data Science: An Important Skill for 2021 [Video]

Analyzing Solar Power Energy (IoT Analysis)

Time Series Demand Forecasting

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Detect Relationships With Linear Regression (10 Must-Know Tidyverse Functions #4)

Python and R - Part 2: Visualizing Data with Plotnine

10 Must-Know Tidyverse Functions: #3 - Pivot Wider and Longer

Top 5 Best Articles on R for Business [October 2020]

10 Must-Know Tidyverse Functions: #2 - across()

Python and R - Part 1: Exploring Data with Datatable

10 Must-Know Tidyverse Functions: #1 - relocate()

How to Visualize Time Series Data: Tidy Forecasting in R

How to Automate PDF Reporting with R

How to Make Publication-Quality Excel Pivot Tables with R

Introducing Modeltime Ensemble: Time Series Forecast Stacking

How to Automate Exploratory Analysis Plots

How to Automate Excel with R

Top 5 Best Articles on R for Business [September 2020]

Finance in R - Evaluating American Funds Portfolio

How to Automate PowerPoint Slidedecks with R

How to Scrape Word Documents with R

Time Series in 5-Minutes, Part 6: Modeling Time Series Data

Time Series Forecasting Course - Now Available

Time Series in 5-Minutes, Part 5: Anomaly Detection

Course Launch: High-Performance Time Series Forecasting in 7 Days!

Time Series in 5-Minutes, Part 4: Seasonality

Time Series in 5-Minutes, Part 1: Data Wrangling and Rolling Calculations

Introducing Modeltime: Tidy Time Series Forecasting using Tidymodels

Time Series in 5-Minutes, Part 3: Autocorrelation and Cross Correlation

Time Series in 5-Minutes, Part 2: Visualization with the Time Plot

Timetk: Visualize Time Series Data (in 1-Line of Code)

How to Set Up TensorFlow 2 in R in 5 Minutes (BONUS Image Recognition Tutorial)

How to Set Up Python's Scikit-Learn in R in 5 minutes

3 Free Resources to Learn R - Now Open

Time Series Machine Learning (and Feature Engineering) in R

Part 6 - R Shiny vs Tableau (3 Business Application Examples)

tidyquant v1.0.0: Pivot Tables, VLOOKUPs in R

R for Excel Users: Pivot Tables, VLOOKUPs in R

Tidy Discounted Cash Flow Analysis in R (for Company Valuation)

Shiny Real Estate with Zillow API (Free Course)

Going to rstudio::conf? Meet Business Science, Accelerate Your Career

Google Trends Email Automation with Shiny

Product Price Prediction: A Tidy Hyperparameter Tuning and Cross Validation Tutorial

Part 5 - Five Reasons to Learn H2O for High-Performance Machine Learning

NEW BOOK - The Shiny Production with AWS Book

Part 4 - Git for Data Science Applications (A Top Skill for 2020)

Part 1 - Five Full Stack Data Science Technologies for 2020 (and Beyond)

Customer Churn Modeling using Machine Learning with parsnip

Web Scraping Product Data in R with rvest and purrr

Cleaning Anomalies to Reduce Forecast Error by 9% with anomalize

PDF Scraping in R with tabulizer

Big Data: Wrangling 4.6M Rows with dtplyr (the NEW data.table backend for dplyr)

Introducing correlationfunnel v0.1.0 - Speed Up Exploratory Data Analysis by 100X

Excel to R, Part 2 - Speed Up Exploratory Data Analysis 100X (R Code!)

Build A R Shiny App (Tutorial) - Wedding Risk Model

A/B Testing with Machine Learning - A Step-by-Step Tutorial

Excel to R, Part 1 - The 10X Productivity Boost

Python Integration in RStudio - Data Science IDE Review

Time Series Analysis for Business Forecasting with Artificial Neural Networks

R and Python: How to Integrate the Best of Both into Your Data Science Workflow

IML: Machine Learning Model Interpretability And Feature Explanation with IML and H2O

DALEX: Interpretable Machine Learning Algorithms with Dalex and H2O

LIME: Machine Learning Model Interpretability with LIME

Time Series Analysis: KERAS LSTM Deep Learning - Part 1

Anomaly Detection Using Tidy and Anomalize

How To Learn R, Part 1: Learn From A Master Data Scientist's Code

6 Reasons To Learn R For Business

Predictive Sales Analytics: Use Machine Learning to Predict and Optimize Product Backorders

HR Analytics: Using Machine Learning to Predict Employee Turnover

sweep: Extending broom for time series forecasting

tidyquant: Bringing Quantitative Financial Analysis to the tidyverse

Speed Up Your Code: Parallel Processing with multidplyr

Russell 2000 Quantitative Stock Analysis in R: Six Stocks with Amazing, Consistent Growth

Quantitative Stock Analysis Tutorial: Screening the Returns for Every S&P500 Stock in Less than 5 Minutes

Customer Segmentation Part 3: Network Visualization

Customer Segmentation Part 2: PCA for Segment Visualization

Customer Segmentation Part 1: K Means Clustering

R-Project

2 Critical Factors to Learn Data Science

Data Science Workflow - The Process for Solving Data Problems

Introducing the Ultimate R Cheat Sheet Version 2.0: The Shinyverse

Predictive Web Applications for Business with R Shiny - Course is Open!!!

Customer Segmentation and RFM Analysis with K-Means Clustering - Part 2

Data Science In R - The Ultimate R Cheat Sheet - The Ultimateness Just Doubled!

Data Science Course Launch Today - Business Analysis With R Now Open!

Course Launch - Business Analysis With R in 8 Days!

Marketing Analytics - Fast-Food Promotion Effectiveness

Time Series Analysis for Business Forecasting with Artificial Neural Networks

Data Science With R Course Series - Week 10

Ultimate Python Cheat Sheet: Data Science Workflow with Python

Data Science With R Course Series - Week 9

Data Science With R Course Series - Week 8

R Cheat Sheet: Data Science Workflow with R

Data Science With R Course Series - Week 7

Marketing Analytics and Data Science

Data Science With R Course Series - Week 6

Data Science With R Course Series - Week 5

Data Science With R Course Series - Week 4

R and Python: How to Integrate the Best of Both into Your Data Science Workflow

Data Science With R Course Series - Week 3

Data Science With R Course Series - Week 2

Data Science With R Course Series - Week 1

Case Study: How To Build A High Performance Data Science Team

Agile Framework For Creating An ROI-Driven Data Science Practice

IML: Machine Learning Model Interpretability And Feature Explanation with IML and H2O

How To Complete A Kaggle Competition In 30 Minutes - Home Credit Default Challenge

DALEX: Interpretable Machine Learning Algorithms with Dalex and H2O

Press Release: Business Science Partners With Method Data Science To Accelerate Your Data Science Career

New Course Content: DS4B 201 Chapter 7, The Expected Value Framework For Modeling Churn With H2O

Data Science for Business: 3 Reasons Why You Need the Expected Value Framework

Time Series Analysis: KERAS LSTM Deep Learning - Part 2

LIME: Machine Learning Model Interpretability with LIME

Information Security: Anomaly Detection and Threat Hunting with Anomalize

Algorithmic Trading: Using Quantopian's Zipline Python Library In R And Backtest Optimizations By Grid Search And Parallel Processing

Data Science For Business: Course Now Open!

Data Science For Business: Course Launch In 5 Days!!!

Time Series Analysis: KERAS LSTM Deep Learning - Part 1

Anomaly Detection Using Tidy and Anomalize

How To Learn R, Part 1: Learn From A Master Data Scientist's Code

The Tidy Time Series Platform: tibbletime 0.1.0

6 Reasons To Learn R For Business

Customer Analytics: Using Deep Learning With Keras To Predict Customer Churn

EARL Presentation on HR Analytics: Using ML to Predict Employee Turnover

Demo Week: Time Series Machine Learning with h2o and timetk

Demo Week: Tidy Time Series Analysis with tibbletime

LIVE DataTalk on HR Analytics Tonight: Using Machine Learning to Predict Employee Turnover

Demo Week: Tidy Forecasting with sweep

Demo Week: Time Series Machine Learning with timetk

Demo Week: class(Monday) <- tidyquant

Predictive Sales Analytics: Use Machine Learning to Predict and Optimize Product Backorders

It's tibbletime v0.0.2: Time-Aware Tibbles, New Functions, Weather Analysis and More

HR Analytics: Using Machine Learning to Predict Employee Turnover

It's tibbletime: Time-Aware Tibbles

alphavantager: An R interface to the Free Alpha Vantage Financial Data API

Tidy Time Series Analysis, Part 4: Lags and Autocorrelation

Tidy Time Series Analysis, Part 3: The Rolling Correlation

BizSci Package Updates: Formerly timekit... Now timetk :)

Tidy Time Series Analysis, Part 2: Rolling Functions

sweep: Extending broom for time series forecasting

Tidy Time Series Analysis, Part 1

Business Science EARL SF 2017 Presentation: tidyquant, timekit, and more!

tidyquant: R/Finance 2017 Presentation

timekit: New Documentation, Function Improvements, Forecasting Vignette

tidyquant: New Tools for Performing Financial Analysis within the Tidy Ecosystem

timekit: Time Series Forecast Applications Using Data Mining

tidyquant 0.5.0: select, rollapply, and Quandl

tidyquant Integrates Quandl: Getting Data Just Got Easier

tidyquant 0.4.0: PerformanceAnalytics, Improved Documentation, ggplot2 Themes and More

Recreating RView's ''Reproducible Finance With R: Sector Correlations''

tidyquant 0.3.0: ggplot2 Enhancements, Real-Time Data, and More

Speed Up Your Code Part 2: Parallel Processing Financial Data with multidplyr + tidyquant

tidyquant 0.2.0: Added Functionality for Financial Engineers and Business Analysts

tidyquant: Bringing Quantitative Financial Analysis to the tidyverse

Speed Up Your Code: Parallel Processing with multidplyr

Russell 2000 Quantitative Stock Analysis in R: Six Stocks with Amazing, Consistent Growth

Quantitative Stock Analysis Tutorial: Screening the Returns for Every S&P500 Stock in Less than 5 Minutes

Customer Segmentation Part 3: Network Visualization

Customer Segmentation Part 2: PCA for Segment Visualization

Customer Segmentation Part 1: K Means Clustering

orderSimulatoR: Simulate Orders for Business Analytics

R-Tips

How to Make Mobile Apps with R Shiny

How to Scrape PDF Documents and Search PDFs with OpenAI LLMs (in R)

Make Microsoft Word Reports with R + officedown

XGBoost: Tuning the Hyperparameters (My Secret 2 Step Process in R)

The Top 5 Time Series Analysis Concepts (that helped me the most in my career)

Introduction to A/B Testing in R (For Marketing Analytics)

Data Engineering in R: How to Build Your First Data Pipeline with R, Mage, and Google Cloud Platform (in under 45 Minutes)

How to Make a Data Science Portfolio Website (in Under 15 Minutes with R)

Introducing anomalize for timetk in R (For Time Series Anomaly Detection)

ChatGPT: How to use ChatGPT to make a Shiny App (an Excel Analyzer)

Top 9 R packages (that every Data Scientist must know)

ChatGPT: How to automate Google Sheets in under 2 minutes (with R)

How to make Data Visualizations THAT GO VIRAL (with ggplot2 in R)

How to make Ridiculous Tables in R (from Excel)

How to use ChatGPT for Time Series in R

A Gentle Introduction to K-Means Clustering in R (Feat. Tidyclust)

How to improve your storytelling with R

How to R code faster with ChatGPT

ChatGPT: Made this Shiny App in 10 Minutes

How To Geocode In R For FREE

Exploratory DataXray Analysis (EDXA)

How to make a plot with two different y-axis in R with ggplot2? (a secret ggplot2 hack)

4 Ways to make Data Frames in R!

How to Write SQL From R

How to Handle Missing Data in R with simputation

How to Make 3D Plots in R

6 Life-Altering RStudio Keyboard Shortcuts

Plotting Time Series in R (New Cyberpunk Theme)

Build and Evaluate A Logistic Regression Classifier

Interactive Principal Component Analysis in R

How To Make Geographic Map Visualizations In R

Top 5 Best Articles on R for Business [November 2020]

Forecasting Time Series ARIMA Models (10 Must-Know Tidyverse Functions #5)

Detect Relationships With Linear Regression (10 Must-Know Tidyverse Functions #4)

10 Must-Know Tidyverse Functions: #3 - Pivot Wider and Longer

Top 5 Best Articles on R for Business [October 2020]

10 Must-Know Tidyverse Functions: #2 - across()

10 Must-Know Tidyverse Functions: #1 - relocate()

How to Automate PDF Reporting with R

How to Make Publication-Quality Excel Pivot Tables with R

How to Automate Excel with R

Top 5 Best Articles on R for Business [September 2020]

How to Automate PowerPoint Slidedecks with R

How to Scrape Word Documents with R

RMarkdown

Data Science In R - The Ultimate R Cheat Sheet - The Ultimateness Just Doubled!

R Cheat Sheet: Data Science Workflow with R

R and Python: How to Integrate the Best of Both into Your Data Science Workflow

RSTudio

6 Life-Altering RStudio Keyboard Shortcuts

RStudio

Python Integration in RStudio - Data Science IDE Review

Real Estate

Using Drake for ETL - Building A Shiny Real Estate App

Reports

How to Add Shiny to Rmarkdown

Rmarkdown

Enhance Your Storytelling - Interactive Slide Decks with Rmarkdown

Make PDF Data Analysis Reports with R | Rmarkdown Visual Editor

How to Add Shiny to Rmarkdown

How to Automate PDF Reporting with R

SQL

How to Write SQL From R

A Data Scientist's Resources

Sales Analytics

Predictive Sales Analytics: Use Machine Learning to Predict and Optimize Product Backorders

Sales Data Scientist

Marketing Strategy: Why MBAs Can Benefit from Learning Analytics

Salesforce

Marketing Strategy: Why MBAs Can Benefit from Learning Analytics

Scikit-Learn

How to Set Up Python's Scikit-Learn in R in 5 minutes

R and Python: How to Integrate the Best of Both into Your Data Science Workflow

Scraping

Web Scraping and Analyzing Home Rentals (Python + R)

Shiny

A Gentle Introduction to R Shiny

5 Reasons You Should Learn Shiny

How to Add Shiny to Rmarkdown

Using Drake for ETL - Building A Shiny Real Estate App

NEW BOOK - The Shiny Production with AWS Book

Part 4 - Git for Data Science Applications (A Top Skill for 2020)

Part 1 - Five Full Stack Data Science Technologies for 2020 (and Beyond)

Expert Shiny Developer with AWS - Course Launch Today!

Course Launch - Expert Shiny Developer with AWS in 7 Days!

Data Science In R - The Ultimate R Cheat Sheet - The Ultimateness Just Doubled!

R Cheat Sheet: Data Science Workflow with R

R and Python: How to Integrate the Best of Both into Your Data Science Workflow

Simulation

orderSimulatoR: Simulate Orders for Business Analytics

Stock Analysis

Algorithmic Trading: Using Quantopian's Zipline Python Library In R And Backtest Optimizations By Grid Search And Parallel Processing

tidyquant 0.5.0: select, rollapply, and Quandl

tidyquant Integrates Quandl: Getting Data Just Got Easier

tidyquant 0.4.0: PerformanceAnalytics, Improved Documentation, ggplot2 Themes and More

Recreating RView's ''Reproducible Finance With R: Sector Correlations''

tidyquant 0.3.0: ggplot2 Enhancements, Real-Time Data, and More

tidyquant 0.2.0: Added Functionality for Financial Engineers and Business Analysts

tidyquant: Bringing Quantitative Financial Analysis to the tidyverse

Russell 2000 Quantitative Stock Analysis in R: Six Stocks with Amazing, Consistent Growth

Quantitative Stock Analysis Tutorial: Screening the Returns for Every S&P500 Stock in Less than 5 Minutes

Strategy

Marketing Strategy: Why MBAs Can Benefit from Learning Analytics

SweetViz

SweetViz: Automated Exploratory Data Analysis (EDA) in Python

TTR

Tidy Time Series Analysis, Part 3: The Rolling Correlation

Tidy Time Series Analysis, Part 2: Rolling Functions

tidyquant: New Tools for Performing Financial Analysis within the Tidy Ecosystem

tidyquant 0.4.0: PerformanceAnalytics, Improved Documentation, ggplot2 Themes and More

Recreating RView's ''Reproducible Finance With R: Sector Correlations''

tidyquant 0.3.0: ggplot2 Enhancements, Real-Time Data, and More

tidyquant 0.2.0: Added Functionality for Financial Engineers and Business Analysts

tidyquant: Bringing Quantitative Financial Analysis to the tidyverse

Teams

R is for Research, Python is for Production

R is for Research, Python is for Production

Should you learn Python or R in 2021?

R/Python Teams Course Announcement

TensorFlow

How to Set Up TensorFlow 2 in R in 5 Minutes (BONUS Image Recognition Tutorial)

R and Python: How to Integrate the Best of Both into Your Data Science Workflow

Time Series Analysis: KERAS LSTM Deep Learning - Part 2

Time Series Analysis: KERAS LSTM Deep Learning - Part 1

Text Analysis

How To Learn R, Part 1: Learn From A Master Data Scientist's Code

Tidymodels

Hierarchical Time Series Forecasting [Full Code Tutorial]

Tidyverse

How To Make Geographic Map Visualizations In R

Forecasting Time Series ARIMA Models (10 Must-Know Tidyverse Functions #5)

Detect Relationships With Linear Regression (10 Must-Know Tidyverse Functions #4)

10 Must-Know Tidyverse Functions: #3 - Pivot Wider and Longer

10 Must-Know Tidyverse Functions: #2 - across()

10 Must-Know Tidyverse Functions: #1 - relocate()

Data Science In R - The Ultimate R Cheat Sheet - The Ultimateness Just Doubled!

R Cheat Sheet: Data Science Workflow with R

R and Python: How to Integrate the Best of Both into Your Data Science Workflow

Time Series

Hierarchical Time Series Forecasting [Full Code Tutorial]

Time Series Forecasting Course - Now Available

Course Launch: High-Performance Time Series Forecasting in 7 Days!

Time Series Analysis: KERAS LSTM Deep Learning - Part 2

Information Security: Anomaly Detection and Threat Hunting with Anomalize

Time Series Analysis: KERAS LSTM Deep Learning - Part 1

Anomaly Detection Using Tidy and Anomalize

TimeSeries

Time Series Demand Forecasting

Forecasting Time Series ARIMA Models (10 Must-Know Tidyverse Functions #5)

How to Visualize Time Series Data: Tidy Forecasting in R

Timetk

Enhance Your Storytelling - Interactive Slide Decks with Rmarkdown

Trading Algorithms

Algorithmic Trading: Using Quantopian's Zipline Python Library In R And Backtest Optimizations By Grid Search And Parallel Processing

Trading Strategy

tidyquant 0.4.0: PerformanceAnalytics, Improved Documentation, ggplot2 Themes and More

Recreating RView's ''Reproducible Finance With R: Sector Correlations''

tidyquant 0.3.0: ggplot2 Enhancements, Real-Time Data, and More

tidyquant 0.2.0: Added Functionality for Financial Engineers and Business Analysts

tidyquant: Bringing Quantitative Financial Analysis to the tidyverse

Russell 2000 Quantitative Stock Analysis in R: Six Stocks with Amazing, Consistent Growth

Quantitative Stock Analysis Tutorial: Screening the Returns for Every S&P500 Stock in Less than 5 Minutes

UMAP

New Cheat Sheet - Customer Segmentation and Clustering Workflow

Web Applications

Introducing the Ultimate R Cheat Sheet Version 2.0: The Shinyverse

Web Scraping

How To Learn R, Part 1: Learn From A Master Data Scientist's Code

Russell 2000 Quantitative Stock Analysis in R: Six Stocks with Amazing, Consistent Growth

Quantitative Stock Analysis Tutorial: Screening the Returns for Every S&P500 Stock in Less than 5 Minutes

Webscraping

Webscraping Tables in R: Datapasta Copy-and-Paster

New Learning Lab 1-Hour Course - Build A Strategic Database With Web Scraping

Xaringan

Enhance Your Storytelling - Interactive Slide Decks with Rmarkdown

Zipline

Algorithmic Trading: Using Quantopian's Zipline Python Library In R And Backtest Optimizations By Grid Search And Parallel Processing

alphavantager

alphavantager: An R interface to the Free Alpha Vantage Financial Data API

anomalize

Introducing anomalize for timetk in R (For Time Series Anomaly Detection)

Cleaning Anomalies to Reduce Forecast Error by 9% with anomalize

Information Security: Anomaly Detection and Threat Hunting with Anomalize

Anomaly Detection Using Tidy and Anomalize

bikes data set

Customer Segmentation Part 3: Network Visualization

Customer Segmentation Part 2: PCA for Segment Visualization

Customer Segmentation Part 1: K Means Clustering

orderSimulatoR: Simulate Orders for Business Analytics

broom

sweep: Extending broom for time series forecasting

tidyquant Integrates Quandl: Getting Data Just Got Easier

caret

LIME: Machine Learning Model Interpretability with LIME

chatgpt

ChatGPT: How to use ChatGPT to make a Shiny App (an Excel Analyzer)

ChatGPT: How to automate Google Sheets in under 2 minutes (with R)

How to use ChatGPT for Time Series in R

How to R code faster with ChatGPT

ChatGPT: Made this Shiny App in 10 Minutes

correlation

Predictive Power Score vs CorrelationFunnel

correlationfunnel

Product Price Prediction: A Tidy Hyperparameter Tuning and Cross Validation Tutorial

Introducing correlationfunnel v0.1.0 - Speed Up Exploratory Data Analysis by 100X

corrplot

Quantitative Stock Analysis Tutorial: Screening the Returns for Every S&P500 Stock in Less than 5 Minutes

corrr

Customer Analytics: Using Deep Learning With Keras To Predict Customer Churn

Tidy Time Series Analysis, Part 3: The Rolling Correlation

Tidy Time Series Analysis, Part 2: Rolling Functions

tidyquant Integrates Quandl: Getting Data Just Got Easier

cowplot

Tidy Time Series Analysis, Part 3: The Rolling Correlation

cranlogs

Tidy Time Series Analysis, Part 4: Lags and Autocorrelation

Tidy Time Series Analysis, Part 3: The Rolling Correlation

Tidy Time Series Analysis, Part 2: Rolling Functions

Tidy Time Series Analysis, Part 1

crosstalk

Shiny Real Estate with Zillow API (Free Course)

dalex

Shiny Real Estate with Zillow API (Free Course)

DALEX: Interpretable Machine Learning Algorithms with Dalex and H2O

data.table

Python and R - Part 2: Visualizing Data with Plotnine

Python and R - Part 1: Exploring Data with Datatable

Big Data: Wrangling 4.6M Rows with dtplyr (the NEW data.table backend for dplyr)

dataframe

4 Ways to make Data Frames in R!

datatable

Not data.table vs dplyr... data.table + dplyr!

Python and R - Part 2: Visualizing Data with Plotnine

Python and R - Part 1: Exploring Data with Datatable

dials

Product Price Prediction: A Tidy Hyperparameter Tuning and Cross Validation Tutorial

dplyr

Not data.table vs dplyr... data.table + dplyr!

PDF Scraping in R with tabulizer

Big Data: Wrangling 4.6M Rows with dtplyr (the NEW data.table backend for dplyr)

Excel to R, Part 2 - Speed Up Exploratory Data Analysis 100X (R Code!)

Excel to R, Part 1 - The 10X Productivity Boost

Data Science In R - The Ultimate R Cheat Sheet - The Ultimateness Just Doubled!

R Cheat Sheet: Data Science Workflow with R

tidyquant 0.4.0: PerformanceAnalytics, Improved Documentation, ggplot2 Themes and More

Recreating RView's ''Reproducible Finance With R: Sector Correlations''

tidyquant 0.3.0: ggplot2 Enhancements, Real-Time Data, and More

Speed Up Your Code Part 2: Parallel Processing Financial Data with multidplyr + tidyquant

tidyquant 0.2.0: Added Functionality for Financial Engineers and Business Analysts

tidyquant: Bringing Quantitative Financial Analysis to the tidyverse

Speed Up Your Code: Parallel Processing with multidplyr

dtplyr

Not data.table vs dplyr... data.table + dplyr!

Big Data: Wrangling 4.6M Rows with dtplyr (the NEW data.table backend for dplyr)

dygraphs

Recreating RView's ''Reproducible Finance With R: Sector Correlations''

easystats

easystats: Quickly investigate model performance

esquisse

Build GGPLOT Code with Tableau Drag-and-Drop (R esquisse)

excel

ChatGPT: How to use ChatGPT to make a Shiny App (an Excel Analyzer)

explore

explore: simplified exploratory data analysis (EDA) in R

flyingfox

Algorithmic Trading: Using Quantopian's Zipline Python Library In R And Backtest Optimizations By Grid Search And Parallel Processing

forecast

sweep: Extending broom for time series forecasting

fs

How To Learn R, Part 1: Learn From A Master Data Scientist's Code

funkyheatmap

How to improve your storytelling with R

furrr

Algorithmic Trading: Using Quantopian's Zipline Python Library In R And Backtest Optimizations By Grid Search And Parallel Processing

fuzzyjoin

Tidy Discounted Cash Flow Analysis in R (for Company Valuation)

ggalt

Tidy Parallel Processing in R with furrr

ggalt: Make a Lollipop Plot to Compare Categories in ggplot2

ggalt: Make a Dumbbell Plot to Visualize Change in ggplot2

ggdist

ggdist: Make a Raincloud Plot to Visualize Distribution in ggplot2

ggforce

ggforce: Make a Hull Plot to Visualize Clusters in ggplot2

gghalves

gghalves: Make Half Boxplot | Half Dotplot Visualizations with ggplot2

ggplot

How to Make a Heatmap in R

Tidy Parallel Processing in R with furrr

ggalt: Make a Lollipop Plot to Compare Categories in ggplot2

ggalt: Make a Dumbbell Plot to Visualize Change in ggplot2

ggforce: Make a Hull Plot to Visualize Clusters in ggplot2

ggdist: Make a Raincloud Plot to Visualize Distribution in ggplot2

Make PDF Data Analysis Reports with R | Rmarkdown Visual Editor

Build GGPLOT Code with Tableau Drag-and-Drop (R esquisse)

Make Awesome Statistical Plots in R

How to Make 3D Plots in R

Plotting Time Series in R (New Cyberpunk Theme)

How to Visualize Time Series Data: Tidy Forecasting in R

ggplot2

How to make Data Visualizations THAT GO VIRAL (with ggplot2 in R)

ggradar: radar plots with ggplot in R

How to Make a Heatmap in R

Tidy Parallel Processing in R with furrr

ggalt: Make a Lollipop Plot to Compare Categories in ggplot2

ggalt: Make a Dumbbell Plot to Visualize Change in ggplot2

ggforce: Make a Hull Plot to Visualize Clusters in ggplot2

ggdist: Make a Raincloud Plot to Visualize Distribution in ggplot2

grafify: Make 5 powerful ggplot2 graphs quickly with R

gghalves: Make Half Boxplot | Half Dotplot Visualizations with ggplot2

PDF Scraping in R with tabulizer

Data Science In R - The Ultimate R Cheat Sheet - The Ultimateness Just Doubled!

R Cheat Sheet: Data Science Workflow with R

tidyquant 0.4.0: PerformanceAnalytics, Improved Documentation, ggplot2 Themes and More

tidyquant 0.3.0: ggplot2 Enhancements, Real-Time Data, and More

tidyquant 0.2.0: Added Functionality for Financial Engineers and Business Analysts

tidyquant: Bringing Quantitative Financial Analysis to the tidyverse

ggradar

ggradar: radar plots with ggplot in R

ggstatsplot

Make Awesome Statistical Plots in R

gmailr

Google Trends Email Automation with Shiny

googlesheets

ChatGPT: How to automate Google Sheets in under 2 minutes (with R)

grafify

grafify: Make 5 powerful ggplot2 graphs quickly with R

gt

How to make Ridiculous Tables in R (from Excel)

gtExtras

How to make Ridiculous Tables in R (from Excel)

gtrendsR

Google Trends Email Automation with Shiny

h2o

IML: Machine Learning Model Interpretability And Feature Explanation with IML and H2O

How To Complete A Kaggle Competition In 30 Minutes - Home Credit Default Challenge

DALEX: Interpretable Machine Learning Algorithms with Dalex and H2O

LIME: Machine Learning Model Interpretability with LIME

Data Science For Business: Course Now Open!

Data Science For Business: Course Launch In 5 Days!!!

EARL Presentation on HR Analytics: Using ML to Predict Employee Turnover

Demo Week: Time Series Machine Learning with h2o and timetk

LIVE DataTalk on HR Analytics Tonight: Using Machine Learning to Predict Employee Turnover

Predictive Sales Analytics: Use Machine Learning to Predict and Optimize Product Backorders

HR Analytics: Using Machine Learning to Predict Employee Turnover

igraph

Customer Segmentation Part 3: Network Visualization

iml

IML: Machine Learning Model Interpretability And Feature Explanation with IML and H2O

infer

Introduction to A/B Testing in R (For Marketing Analytics)

iterative forecasting

Introducing Iterative (Nested) Forecasting with Modeltime

jsonlite

Web Scraping Product Data in R with rvest and purrr

keras

Time Series Analysis for Business Forecasting with Artificial Neural Networks

Time Series Analysis: KERAS LSTM Deep Learning - Part 2

Time Series Analysis: KERAS LSTM Deep Learning - Part 1

Customer Analytics: Using Deep Learning With Keras To Predict Customer Churn

kmeans

New Cheat Sheet - Customer Segmentation and Clustering Workflow

Customer Segmentation Part 1: K Means Clustering

learning-lab

Strategies To Improve Your Business Forecasting 50% (or more) | Time Series Learning Lab

lime

LIME: Machine Learning Model Interpretability with LIME

Data Science For Business: Course Now Open!

Data Science For Business: Course Launch In 5 Days!!!

Customer Analytics: Using Deep Learning With Keras To Predict Customer Churn

EARL Presentation on HR Analytics: Using ML to Predict Employee Turnover

LIVE DataTalk on HR Analytics Tonight: Using Machine Learning to Predict Employee Turnover

HR Analytics: Using Machine Learning to Predict Employee Turnover

matplotlib

Python Integration in RStudio - Data Science IDE Review

Ultimate Python Cheat Sheet: Data Science Workflow with Python

modelStudio

My 4 most important explainable AI visualizations (modelStudio)

modeltime

How to use ChatGPT for Time Series in R

Tidy Time Series Forecasting in R with Spark

Introducing Iterative (Nested) Forecasting with Modeltime

Forecasting Many Time Series (Using NO For-Loops)

Gentle Introduction to Forecasting with Modeltime [Video Tutorial]

Hyperparameter Tuning Forecasts in Parallel with Modeltime

Introducing Modeltime Recursive: Tidy Autoregressive Forecasting with Lags

Introducing Modeltime H2O: Automatic Forecasting with H2O AutoML

Time Series Demand Forecasting

Introducing Modeltime Ensemble: Time Series Forecast Stacking

Introducing Modeltime: Tidy Time Series Forecasting using Tidymodels

modeltime.ensemble

Introducing Modeltime Recursive: Tidy Autoregressive Forecasting with Lags

Introducing Modeltime Ensemble: Time Series Forecast Stacking

modeltime.h2o

Introducing Modeltime H2O: Automatic Forecasting with H2O AutoML

multidplyr

Speed Up Your Code Part 2: Parallel Processing Financial Data with multidplyr + tidyquant

Speed Up Your Code: Parallel Processing with multidplyr

networkD3

Customer Segmentation Part 3: Network Visualization

numpy

Python Integration in RStudio - Data Science IDE Review

orderSimulatoR

orderSimulatoR: Simulate Orders for Business Analytics

osmdata

How to R code faster with ChatGPT

padr

timekit: Time Series Forecast Applications Using Data Mining

pandas

plotnine: Make great-looking correlation plots in Python

Siuba: Data wrangling with dplyr in Python

Pandas Profiling: Make Exploratory Data Analysis Reports

Python Integration in RStudio - Data Science IDE Review

Ultimate Python Cheat Sheet: Data Science Workflow with Python

pandas profiling

Pandas Profiling: Make Exploratory Data Analysis Reports

parallel

Speed Up Your Code Part 2: Parallel Processing Financial Data with multidplyr + tidyquant

Speed Up Your Code: Parallel Processing with multidplyr

parallel processing

Forecasting Many Time Series (Using NO For-Loops)

Hyperparameter Tuning Forecasts in Parallel with Modeltime

parsnip

Product Price Prediction: A Tidy Hyperparameter Tuning and Cross Validation Tutorial

Customer Churn Modeling using Machine Learning with parsnip

A/B Testing with Machine Learning - A Step-by-Step Tutorial

pdp

LIME: Machine Learning Model Interpretability with LIME

performance

easystats: Quickly investigate model performance

plotly

Plotting Time Series in R (New Cyberpunk Theme)

Russell 2000 Quantitative Stock Analysis in R: Six Stocks with Amazing, Consistent Growth

Quantitative Stock Analysis Tutorial: Screening the Returns for Every S&P500 Stock in Less than 5 Minutes

plotnine

plotnine: Make great-looking correlation plots in Python

Pandas Profiling: Make Exploratory Data Analysis Reports

Python and R - Part 2: Visualizing Data with Plotnine

Python and R - Part 1: Exploring Data with Datatable

plumber

Building APIs with plumber - New Learning Lab 1-Hour Course

portfoliodown

How to Make a Data Science Portfolio Website (in Under 15 Minutes with R)

Introducing portfoliodown: The Data Science Portfolio Website Builder

postman

Building APIs with plumber - New Learning Lab 1-Hour Course

prcomp

Customer Segmentation Part 2: PCA for Segment Visualization

production

Data Engineering in R: How to Build Your First Data Pipeline with R, Mage, and Google Cloud Platform (in under 45 Minutes)

purrr

Web Scraping Product Data in R with rvest and purrr

Excel to R, Part 1 - The 10X Productivity Boost

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How to Make 3D Plots in R

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Make PDF Data Analysis Reports with R | Rmarkdown Visual Editor

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Web Scraping and Analyzing Home Rentals (Python + R)

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skimr

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Product Price Prediction: A Tidy Hyperparameter Tuning and Cross Validation Tutorial

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sklearn

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spark

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sweep

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tibbletime

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