Correlation and Regression Analysis Course
Gain mastery in correlation and regression analysis to identify sales drivers, measure ad spend effects, perform what-if scenarios, and deliver clear, trusted data-driven recommendations for managers. This course equips you with practical skills in Python or R to clean data, build models, diagnose issues, interpret financial impacts, and communicate insights effectively for better decision-making.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This focused course teaches data cleaning for sales, driver exploration via correlation matrices and visuals, reliable linear model building in Python or R, assumption checks, coefficient interpretation for financial effects, simple what-if scenarios, and non-technical summaries with visuals to support management decisions.
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.
- Measure effects: convert coefficients into straightforward revenue and margin impact estimates.
- Conduct scenario analysis: perform fast what-if forecasts for discounts and ad spend.
- Prepare executive reports: transform stats results into clear, non-technical summaries.
Suggested summary
Before starting, you can change the chapters and 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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