Tags

AI: 1 AWS: 4 Agile Framework: 1 Amadeus: 1 Anomaly Detection: 1 BI: 1 BSPF: 6 Backtesting: 3 Blue Ocean Strategy: 1 Bootstrap: 2 Business Analysis: 9 Business Understanding: 13 CRISP-DM: 4 CRM: 1 Case Study: 1 Cheatsheet: 3 Churn: 5 Code: 1 Community Detection: 3 Consulting: 1 Course Launch: 1 Customer Analytics: 1 Customer Segmentation: 3 DALEX: 1 DMAIC: 1 DS4B: 5 DS4B 101-R: 3 DS4B 102-R: 2 DS4B 201-R: 13 DS4B 202-R: 2 Data Mining: 1 Data Science: 32 Data Science For Business: 1 Data Science Team: 1 DataExplorer: 1 Deep Learning: 3 Docker: 3 EARL: 2 Education: 1 Employee Attrition: 2 Employee Turnover: 6 Excel: 3 Expected Value: 2 Financial Analysis: 1 Framework: 1 GGally: 2 Getting Started: 1 Git: 3 H2O: 5 HR 201: 1 HR Analytics: 6 Human Resources: 4 IDE: 1 IML: 1 InfoSec: 1 K-Means: 1 Kaggle Competitions: 1 Keras: 2 LIME: 1 Leanr-Finance: 1 Learn Marketing: 1 Learn-Business: 19 Learn-Finance: 14 Learn-Machine-Learning: 23 Learn-Marketing: 16 Learn-Python: 3 Learn-R: 60 Learn-Shiny: 1 Learn-Timeseries: 13 Learning Data Science: 2 MBA: 1 Machine Learning: 1 Marketing: 4 MongoDB: 2 Monte Carlo: 1 Multiple Cores: 2 Neural Network: 1 PCA: 1 Parallel Processing: 3 Partnerships: 1 People Analytics: 4 PerformanceAnalytics: 2 Predictive Web Apps: 1 Principles By Ray Dalio: 1 Product Backorders: 1 Project Management: 2 Python: 6 Quandl: 2 Quantopian: 1 R: 94 R for Business: 3 R-Bloggers: 36 R-Project: 85 RMarkdown: 3 RStudio: 1 SQL: 1 Sales Analytics: 1 Sales Data Scientist: 1 Salesforce: 1 Scikit-Learn: 1 Shiny: 8 Simulation: 1 Stock Analysis: 10 Strategy: 1 TTR: 8 TensorFlow: 3 Text Analysis: 1 Tidyverse: 3 Time Series: 4 Trading Algorithms: 1 Trading Strategy: 7 UMAP: 1 Web Applications: 1 Web Scraping: 3 Webscraping: 1 Zipline: 1 alphavantager: 1 anomalize: 3 bikes data set: 4 broom: 2 caret: 1 correlationfunnel: 2 corrplot: 1 corrr: 4 cowplot: 1 cranlogs: 4 dalex: 1 data.table: 1 dials: 1 dplyr: 13 dtplyr: 1 dygraphs: 1 flyingfox: 1 forecast: 1 fs: 1 furrr: 1 ggplot2: 7 gmailr: 1 gtrendsR: 1 h2o: 11 igraph: 1 iml: 1 jsonlite: 1 keras: 4 kmeans: 2 learning-lab: 1 lime: 7 matplotlib: 2 multidplyr: 2 networkD3: 1 numpy: 1 orderSimulatoR: 1 padr: 1 pandas: 2 parallel: 2 parsnip: 3 pdp: 1 plotly: 2 plumber: 1 postman: 1 prcomp: 1 purrr: 4 purrr. correlationfunnel: 1 quantmod: 8 r-finance: 1 radix: 1 ranger: 1 recipes: 8 reticulate: 1 rsample: 5 rvest: 5 scikit-learn: 1 seaborn: 2 shiny: 5 silhouette: 1 skimr: 5 sweep: 3 tabulizer: 1 tibbletime: 8 tidyquant: 19 tidyr: 5 tidyverse: 21 timekit: 4 timekitr: 1 timetk: 5 tune: 1 umap: 1 vip: 1 xts: 9 yardstick: 5 zoo: 8

AI

Agile Framework For Creating An ROI-Driven Data Science Practice

AWS

Introducing the Shiny Production with AWS Book

5 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 Successfully Manage A Data Science Project: 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

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

Free Data Science Course: Jumpstart with R

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

Course Launch - Business Analysis With R in 8 Days!

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

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 Successfully Manage A Data Science Project: 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

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

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

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 Successfully Manage A Data Science Project: The Business Science Problem Framework

DS4B 101-R

Free Data Science Course: Jumpstart with 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 Course Savings Extended: Get 35% OFF Through Cyber Monday

Black Friday 35% Off: Data Science With R Course

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

Expert Shiny Developer with AWS - Course Launch Today!

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

Data Mining

orderSimulatoR: Simulate Orders for Business Analytics

Data Science

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

Free Data Science Course: Jumpstart with R

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 Course Savings Extended: Get 35% OFF Through Cyber Monday

Black Friday 35% Off: Data Science With R Course

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 Successfully Manage A Data Science Project: The Business Science Problem Framework

Data Science For Business

How To Successfully Manage A Data Science Project: The Business Science Problem Framework

Data Science Team

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

DataExplorer

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

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

Introducing the Shiny Production with AWS Book

5 Full Stack Data Science Technologies for 2020 (and Beyond)

Docker for Data Scientists (A Top Skill for 2020)

EARL

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

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

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

Excel

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

Financial Analysis

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

Framework

How To Successfully Manage A Data Science Project: The Business Science Problem Framework

GGally

Data Science For Business: Course Now Open!

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

Getting Started

Data Science With R Course Series - Week 1

Git

Introducing the Shiny Production with AWS Book

Git for Data Science Applications (A Top Skill for 2020)

5 Full Stack Data Science Technologies for 2020 (and Beyond)

H2O

5 Reasons to Learn H2O for High-Performance Machine Learning

5 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

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

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

Leanr-Finance

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

Learn Marketing

Marketing Analytics - Fast-Food Promotion Effectiveness

Learn-Business

5 Reasons to Learn H2O for High-Performance Machine Learning

Git for Data Science Applications (A Top Skill for 2020)

5 Full Stack Data Science Technologies for 2020 (and Beyond)

Docker for Data Scientists (A Top Skill for 2020)

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 Successfully Manage A Data Science Project: The Business Science Problem Framework

HR Analytics: Using Machine Learning to Predict Employee Turnover

Learn-Finance

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

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

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

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

Google Trends Email Automation with Shiny

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

5 Reasons to Learn H2O for High-Performance Machine Learning

Introducing the Shiny Production with AWS Book

Git for Data Science Applications (A Top Skill for 2020)

5 Full Stack Data Science Technologies for 2020 (and Beyond)

How I Landed My Data Science Job

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?

Data Science with AWS (A Top Skill for 2020)

Apply Data Science to Improve Addiction Treatment

How to Sell Your Manager on A Data Science Course Purchase

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

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

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

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

Speed Up Your Code: Parallel Processing with multidplyr

Learn-Shiny

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

Learn-Timeseries

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

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

6 Reasons To Learn R For Business

MBA

Marketing Strategy: Why MBAs Can Benefit from Learning Analytics

Machine Learning

Agile Framework For Creating An ROI-Driven Data Science Practice

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

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

PCA

Customer Segmentation Part 2: PCA for Segment Visualization

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

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 Successfully Manage A Data Science Project: 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 Successfully Manage A Data Science Project: The Business Science Problem Framework

Python

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

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

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!

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

Free Data Science Course: Jumpstart with R

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 Course Savings Extended: Get 35% OFF Through Cyber Monday

Black Friday 35% Off: Data Science With R Course

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

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alphavantager

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anomalize

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caret

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corrplot

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corrr

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cowplot

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dtplyr

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dygraphs

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forecast

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furrr

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ggplot2

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