Correlation and Regression Analysis Course
Gain mastery in correlation and regression analysis to identify sales drivers, measure ad spend effects, execute what-if scenarios, and deliver trustworthy, data-backed recommendations that managers rely on for decisions. This course equips you with practical skills in Python or R to clean data, build models, diagnose issues, interpret financial impacts, and communicate findings effectively to non-technical audiences.

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, and robust linear model building in Python or R. You'll learn to validate assumptions, interpret coefficients for financial insights, conduct what-if analyses, and craft executive summaries and visuals that empower data-driven management choices.
Elevify advantages
Develop skills
- Perform EDA on sales drivers: create correlation matrices, heatmaps, and pairplots quickly.
- Build regression models: fit, check, and compare OLS models using R and Python.
- Quantify effects: convert coefficients into straightforward revenue and margin impact estimates.
- Conduct scenario analysis: perform rapid what-if forecasts for discounts and ad spend.
- Produce executive reports: transform statistical results into clear, 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 workloadWhat our students say
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