Correlation and Regression Analysis Course
Gain expertise in correlation and regression analysis to identify sales drivers, measure advertising spend effects, perform what-if scenarios, and deliver clear, actionable data-driven insights that management can rely on for decisions. This course equips you with practical skills in data cleaning, model building, assumption checking, financial interpretation, and effective communication using Python or R.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This focused course teaches data cleaning for sales datasets, driver exploration via correlation matrices and visuals, linear model building in Python or R, assumption diagnostics, coefficient translation to business impacts, what-if scenario simulations, and creation of simple visuals and summaries for management to support data-informed choices.
Elevify advantages
Develop skills
- Perform EDA on sales drivers using correlation matrices, heatmaps, and pairplots efficiently.
- Build, diagnose, and compare OLS regression models using R and Python.
- Interpret regression coefficients to estimate impacts on revenue and margins clearly.
- Conduct scenario analysis with what-if forecasts for discounts and advertising spend.
- Create executive reports by transforming statistical outputs into concise, non-technical summaries.
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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