Correlation and Regression Analysis Course
Gain mastery in correlation and regression analysis to identify sales drivers, measure the impact of ad spend, execute what-if scenarios, and deliver clear, trustworthy data-driven 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 results for business insights, and communicate findings effectively to non-technical stakeholders.

from 4 to 360h flexible workload
certificate valid 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 construction of robust linear models in Python or R. You will learn to check model assumptions, interpret coefficients for financial implications, conduct simple what-if analyses, and create accessible summaries and charts to support managerial data-driven choices.
Elevify advantages
Develop skills
- Perform EDA on sales drivers: create correlation matrices, heatmaps, and pairplots quickly.
- Build regression models: fit, diagnose, 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 outputs 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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