The ultimate R cheat sheet links to the documentation and cheat sheets for every major R package. It just got even better with a brand new second page containing special topics and R packages!

The perfect foundational data science education program! We've crafted an amazing course for those seeking to break into data science for business!

We've crafted an amazing course for those seeking to break into data science for business! We've combined a revolutionary system with a clear-cut path, a cheat sheet that connects every resource learned in the course, two end-to-end projects, and 50 plus tools into one 7 -week course! The perfect data science education program to kick off 2019!

In this marketing analysis, we used promotion campaign data from a fast-food business to determine which promotion produced the most sales.

This article demonstrates a real-world case study for business forecasting with regression models including artificial neural networks (ANNs) with Keras

Create strategies for management to reduce employee attrition. This week is designed to integrate critical thinking and strategy development with data-driven decision making.

Get the Ultimate Python Cheat Sheet that makes learning data science with Python quick and efficient.

This week will extend what you learned from the Expected Value by performing an optimization and sensitivity analysis.

Learn everything you need to know about the Expected Value Framework. The Expected Value Framework is way to apply an expected value to a classification model - it connects a machine learning classification model to ROI for the business.

Get the new R Cheat Sheet that makes learning data science with R quick and efficient.

Learn how to explain machine learning models with LIME. LIME stands for Local Interpretable Model-Agnostic Explanations and is used to understand which model features have the most predictive impact.

This article uses a Kaggle competition as an opportunity to show how data science can be used in digital marketing to answer a specific question, and take what is learned from the data and apply it to marketing strategies.