Regression Analysis Fundamentals
53mIntermediate2026-01-05
Authors
Madecraft
Full-Service Learning Content Company
Course details
Explore the basic elements of regression analysis, a critical skill in today's data-driven business environment. Learn about ordinary least squares and how to minimize errors when building data models. Discover the various regression types, including linear, multiple logistic, and more, and then choose the method that best fits your data. Gain hands-on experience with tools such as Excel, SPSS, Stata, and R, so you can run regressions efficiently and interpret the results with confidence. Translate complex statistical output into actionable insights for stakeholders, and differentiate between correlation and causation in data. Create compelling visuals, to ensure non-technical audiences can grasp your insights from your regression models. Develop narratives that connect your data findings to strategic business decisions. This course is ideal for professionals eager to enhance their data analysis skills and make informed, measurable decisions in their organizations.
Skills covered
Data AnalysisData ScienceBusiness Analysis and StrategyBusiness Software and ToolsOne-Off
Concepts
Introduction
- Identify what regression helps you see
Laying the Groundwork
- Understand the basics of OLS regression
- Know the different regression types
Run Your First Regression
- Choose the best regression tool
- Run a simple regression in Excel
- Use SPSS to analyze data with regression
- Run a linear model in R using code
Interpret and Visualize Your Results
- Understand what regression output means
- Check model assumptions
- Evaluate correlation vs. causation
- Checking goodness-of-fit and R
- Handling outliers and influential points
Share Your Findings with Confidence
- Create clear charts
- Translate your results into insights
- Tell the story behind your data model
- Visual storytelling with regression
Conclusion
- Apply your regression skills in projects