Correlation and Regression Analysis Course
Gain expertise in correlation and regression analysis to identify sales drivers, measure advertising spend effects, simulate what-if scenarios, and deliver compelling, data-backed recommendations that resonate with managers and drive action. This course equips you with practical skills in Python or R for cleaning data, building models, validating assumptions, and communicating insights effectively for confident business decisions.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This focused course on correlation and regression analysis teaches data cleaning for sales datasets, driver exploration via correlation matrices and visuals, and development of robust linear models in Python or R. You'll master assumption diagnostics, coefficient interpretation for financial impacts, simple what-if scenario simulations, and creation of accessible summaries and visuals to support managerial data-driven decisions.
Elevify advantages
Develop skills
- Explore sales drivers through EDA: create correlation matrices, heatmaps, and pairplots quickly.
- Build and assess regression models: fit, diagnose, and compare OLS models using R or Python.
- Interpret effect sizes: convert coefficients into straightforward revenue and margin impact estimates.
- Conduct scenario analysis: perform rapid what-if forecasts for discounts and advertising budgets.
- Produce executive reports: transform statistical results 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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