Predictive Modeling with R for Marketers focuses on equipping participants with the essential skills to leverage data-driven insights for effective marketing strategies. The course emphasizes hands-on projects that allow learners to apply predictive analytics techniques directly to real-world marketing scenarios. Participants will engage in interactive sessions that foster collaboration and innovation, culminating in the opportunity to publish their findings in Cademix Magazine, showcasing their expertise.
Throughout the course, learners will explore various modeling techniques, data manipulation, and visualization strategies that are crucial for interpreting marketing data. By the end of the program, participants will have developed a comprehensive understanding of how to construct and validate predictive models, enabling them to make informed marketing decisions based on analytical evidence. This practical approach ensures that participants can immediately apply their knowledge in professional settings.
Introduction to Predictive Analytics and its Relevance in Marketing
Overview of R Programming for Data Analysis
Data Collection and Preparation Techniques
Exploratory Data Analysis and Visualization in R
Building Predictive Models: Linear Regression and Beyond
Model Evaluation Metrics and Techniques
Advanced Predictive Modeling: Decision Trees and Random Forests
Time Series Analysis for Marketing Forecasting
Implementing Predictive Models in Marketing Campaigns
Final Project: Developing a Predictive Marketing Model with R