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Hands-On Statistical Predictive Modeling

Build statistical predictive models to make predictions based on data and gain insights from data to make better business decisions

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Created by Jesus Salcedo

Learn how to build and apply statistical predictive models to make accurate forecasts and uncover valuable insights from your data. Discover practical techniques that help you drive better business decisions and improve outcomes for your organization.

Packt | Sep 2018 | 183 min

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LevelExpert
CategoriesData Science, Statistical Analysis and Predictive Modeling, R

What You Will Learn

You will work through real-world scenarios to understand when and how to use different predictive modeling techniques. The focus is on practical application, guiding you through setting up analyses, making assumptions, and interpreting results without getting lost in complex theory.

Key Features

  • Develop and apply predictive models to forecast trends and outcomes accurately
  • Interpret model results to support smarter business decisions and strategies
  • Identify the right modeling techniques for different data and business scenarios

Target Audience

This course is designed for data professionals and analysts who already have a basic understanding of statistics. If you want to add predictive modeling to your toolkit and help your organization make more informed decisions, you'll find these skills immediately useful.

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