Correlation and Regression Analysis Course
Gain mastery in correlation and regression analysis to identify key sales drivers, measure the impact of advertising spend, perform what-if scenario analyses, and deliver clear, actionable data-driven recommendations that managers can rely on for decision-making. This course equips you with practical skills in data cleaning, model building, assumption checking, financial interpretation, and effective communication of results 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, building robust linear regression models in Python or R, assumption diagnostics, coefficient interpretation for financial insights, simple what-if scenario simulations, and crafting non-technical summaries and visuals to support managerial data-driven decisions.
Elevify advantages
Develop skills
- Exploratory data analysis for sales drivers using correlation matrices, heatmaps, and pairplots.
- Regression modelling: fitting, diagnosing, and comparing OLS models in R and Python.
- Effect sizing: converting coefficients into clear revenue and margin impact estimates.
- Scenario analysis: conducting quick what-if forecasts for discounts and ad spend.
- Executive reporting: transforming 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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