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

from 4 to 360h flexible workload
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 construction in Python or R, assumption diagnostics, coefficient translation to financial impacts, what-if scenario simulations, and creation of non-technical summaries and visuals for management decision-making.
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 concise, 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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