Correlation and Regression Analysis Course
This course teaches correlation and regression analysis to identify sales drivers, measure advertising spend effects, perform what-if scenarios, and deliver actionable, data-backed insights trusted by managers. Students gain hands-on skills in data cleaning, visualization, model building, assumption testing, coefficient interpretation, forecasting, and clear reporting using Python or R, enabling confident business decisions.

4 to 360h flexible workload
certificate valid in your country
What will I learn?
Learn to clean sales data, analyze drivers via correlations and visuals, develop robust linear regression models in Python or R, check assumptions, interpret financial impacts of coefficients, simulate what-if scenarios, and produce executive-friendly summaries and charts for data-driven decisions.
Elevify advantages
Develop skills
- Perform EDA on sales drivers using correlation matrices, heatmaps, and pairplots.
- Build, diagnose, and compare OLS regression models in Python and R.
- Interpret coefficients to estimate revenue and margin impacts.
- Conduct what-if scenario analysis for discounts and ad spend.
- Create executive summaries from statistical outputs for non-technical audiences.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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