Excel Analytics: Linear Regression Analysis in MS Excel

Course Description

This SkillDynamo course develops practical, role-relevant capability in performing linear regression analysis in Microsoft Excel through data preparation, model estimation, output interpretation, diagnostics, forecasting, communication, and responsible validation. The learning path progresses from essential concepts and planning to implementation, validation, troubleshooting, and operational use.

Learners work through realistic scenarios, guided demonstrations, applied exercises, and evidence-based reviews. Every topic is connected to workplace responsibilities, common risks, quality controls, and measurable outcomes.

The course helps professionals make informed decisions, identify failure points, communicate results, and create an actionable improvement plan for future projects.

What You Will Learn

• Explain dependent and independent variables, correlation, regression, coefficients, assumptions, residuals, and business use cases
• Define the analytical question and prepare clean numeric data, labels, missing values, outliers, and appropriate samples
• Use Excel functions, charts, trendlines, and the Analysis ToolPak to estimate a linear regression model
• Interpret intercept, coefficients, R-squared, adjusted R-squared, standard error, ANOVA, p-values, and confidence information
• Analyze residuals, outliers, leverage, linearity, independence, variance, normality, and multicollinearity awareness
• Create forecasts, prediction scenarios, sensitivity comparisons, and clearly documented calculation assumptions
• Communicate results with suitable tables, charts, plain-language explanations, uncertainty, and practical implications
• Validate data, formulas, model stability, limitations, causal claims, decision risk, and improvement priorities

SkillDynamo Training Approach

SkillDynamo delivers this course through demonstrations, hands-on exercises, scenario analysis, validation checklists, structured troubleshooting, solution reviews, and a final improvement plan. Learners repeatedly practice planning, implementation, evidence collection, testing, correction, and communication so the skills transfer confidently into real workplace situations.