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 trustworthy data-driven recommendations for managers. Students will clean data, build models in Python or R, diagnose assumptions, interpret financial impacts, and present visuals for decision-making.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain skills in cleaning sales data, using correlation matrices and visuals to find drivers, building linear models in Python or R, checking assumptions, interpreting coefficients for financial insights, running what-if scenarios, and creating simple summaries and charts for management decisions.
Elevify advantages
Develop skills
- Explore sales drivers through exploratory data analysis using correlation matrices, heatmaps, and pairplots.
- Build, diagnose, and compare ordinary least squares regression models in Python and R.
- Translate regression coefficients into understandable impacts on revenue and margins.
- Conduct scenario analysis with what-if forecasts for discounts and advertising budgets.
- Create executive reports by transforming 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 workload.What our students say
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Giulio CarloDigital Marketing Student
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