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

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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 Cheatsheet 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 Cheatsheet 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.

In Data Science With R Course Series - Week 6, learn how to analyze model performance and communicate machine learning model results to stakeholders.