Tags

AI: 1 Agile Framework: 1 Amadeus: 1 Anomaly Detection: 1 BI: 1 BSPF: 4 Backtesting: 3 Business Analysis: 7 Business Understanding: 13 CRISP-DM: 2 CRM: 1 Case Study: 1 Cheatsheet: 3 Churn: 5 Code: 1 Community Detection: 3 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 Data Mining: 1 Data Science: 28 Data Science For Business: 1 Data Science Team: 1 Deep Learning: 3 EARL: 2 Education: 1 Employee Attrition: 2 Employee Turnover: 6 Excel: 2 Expected Value: 2 Financial Analysis: 1 Framework: 1 GGally: 2 Getting Started: 1 H2O: 3 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: 9 Learn-Finance: 13 Learn-Machine-Learning: 19 Learn-Marketing: 11 Learn-Python: 3 Learn-R: 40 Learn-Shiny: 1 Learn-Timeseries: 12 Learning Data Science: 2 MBA: 1 Machine Learning: 1 Marketing: 4 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: 88 R for Business: 3 R-Bloggers: 23 R-Project: 83 RMarkdown: 3 RStudio: 1 SQL: 1 Sales Analytics: 1 Sales Data Scientist: 1 Salesforce: 1 Scikit-Learn: 1 Shiny: 3 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: 2 bikes data set: 4 broom: 2 caret: 1 corrplot: 1 corrr: 4 cowplot: 1 cranlogs: 4 dalex: 1 dplyr: 10 dygraphs: 1 flyingfox: 1 forecast: 1 fs: 1 furrr: 1 ggplot2: 6 h2o: 11 igraph: 1 iml: 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: 1 pdp: 1 plotly: 2 plumber: 1 postman: 1 prcomp: 1 purrr: 3 quantmod: 8 r-finance: 1 radix: 1 recipes: 6 reticulate: 1 rsample: 3 rvest: 4 scikit-learn: 1 seaborn: 2 shiny: 4 silhouette: 1 skimr: 3 sweep: 3 tibbletime: 8 tidyquant: 19 tidyr: 5 tidyverse: 18 timekit: 4 timekitr: 1 timetk: 5 umap: 1 vip: 1 xts: 9 yardstick: 3 zoo: 8

AI

Agile Framework For Creating An ROI-Driven Data Science Practice

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

Using R Shiny to Build A Wedding Risk Model and Web Application

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

Business Analysis

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

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

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

Data Mining

orderSimulatoR: Simulate Orders for Business Analytics

Data Science

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

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

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 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

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

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

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

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

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

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

Using R Shiny to Build A Wedding Risk Model and Web Application

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

Using R Shiny to Build A Wedding Risk Model and Web Application

Learn-Timeseries

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

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

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

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 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-Bloggers

Using R Shiny to Build A Wedding Risk Model and Web Application

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

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

Free Data Science Course: Jumpstart with R

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

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

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

Python Integration in RStudio - Data Science IDE Review

SQL

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

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

Shiny

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

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

TensorFlow

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

Tidyverse

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

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

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

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

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

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

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

dalex

DALEX: Interpretable Machine Learning Algorithms with Dalex and H2O

dplyr

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

dygraphs

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

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

furrr

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

ggplot2

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

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

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

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

padr

timekit: Time Series Forecast Applications Using Data Mining

pandas

Python Integration in RStudio - Data Science IDE Review

Ultimate Python Cheat Sheet: Data Science Workflow with Python

parallel

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

Speed Up Your Code: Parallel Processing with multidplyr

parsnip

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

pdp

LIME: Machine Learning Model Interpretability with LIME

plotly

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

plumber

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

postman

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

prcomp

Customer Segmentation Part 2: PCA for Segment Visualization

purrr

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

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

quantmod

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

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

r-finance

tidyquant: R/Finance 2017 Presentation

radix

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

recipes

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

Time Series Analysis: KERAS LSTM Deep Learning - Part 2

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

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

reticulate

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

rsample

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

rvest

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

scikit-learn

Ultimate Python Cheat Sheet: Data Science Workflow with Python

seaborn

Python Integration in RStudio - Data Science IDE Review

Ultimate Python Cheat Sheet: Data Science Workflow with Python

shiny

Using R Shiny to Build A Wedding Risk Model and Web Application

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)

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

silhouette

Customer Segmentation Part 1: K Means Clustering

skimr

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

Data Science For Business: Course Now Open!

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

sweep

Demo Week: Tidy Forecasting with sweep

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

sweep: Extending broom for time series forecasting

tibbletime

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

The Tidy Time Series Platform: tibbletime 0.1.0

Demo Week: Tidy Time Series Analysis with tibbletime

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

It's tibbletime: Time-Aware Tibbles

tidyquant

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

Demo Week: class(Monday) <- tidyquant

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

Tidy Time Series Analysis, Part 1

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

tidyquant: R/Finance 2017 Presentation

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

tidyr

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

tidyverse

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

Time Series Analysis: KERAS LSTM Deep Learning - Part 2

Data Science For Business: Course Now Open!

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

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 0.3.0: 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

timekit

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

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

timekit: New Documentation, Function Improvements, Forecasting Vignette

timekit: Time Series Forecast Applications Using Data Mining

timekitr

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

timetk

Time Series Analysis: KERAS LSTM Deep Learning - Part 2

Time Series Analysis: KERAS LSTM Deep Learning - Part 1

Demo Week: Time Series Machine Learning with h2o and timetk

Demo Week: Time Series Machine Learning with timetk

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

umap

New Cheat Sheet - Customer Segmentation and Clustering Workflow

vip

LIME: Machine Learning Model Interpretability with LIME

xts

Tidy Time Series Analysis, Part 4: Lags and Autocorrelation

Tidy Time Series Analysis, Part 1

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

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

yardstick

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

zoo

Tidy Time Series Analysis, Part 2: Rolling Functions

Tidy Time Series Analysis, Part 1

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

tidyquant 0.5.0: select, rollapply, and Quandl

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