What will you learn in Linear Regression and Modeling Course
Understand the fundamentals of linear regression and its assumptions
Use regression models to analyze relationships between variables
Interpret regression coefficients and determine model validity
Apply regression analysis in real-world business scenarios
Use Excel to build and evaluate regression models
Program Overview
Module 1: Introduction to Linear Regression
⏳ 1 week
Topics: Dependent vs. independent variables, scatterplots, correlation
Hands-on: Building your first regression model in Excel
Module 2: Estimating the Regression Line
⏳ 1 week
Topics: Ordinary Least Squares (OLS), residuals, best-fit line
Hands-on: Calculating regression line by hand and Excel practice
Module 3: Evaluating the Model
⏳ 1 week
Topics: R², adjusted R², hypothesis testing for regression coefficients
Hands-on: Model interpretation and evaluating model strength
Module 4: Model Assumptions and Diagnostics
⏳ 1 week
Topics: Linearity, independence, homoscedasticity, normality
Hands-on: Residual analysis and model refinement
Module 5: Business Applications of Regression
⏳ 1 week
Topics: Forecasting, marketing analysis, pricing strategy
Hands-on: Real-world business case studies and regression modeling
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Job Outlook
Linear regression is a core technique in data science, business analytics, and finance
In-demand for roles such as business analyst, data analyst, and financial modeler
Salary ranges for analysts with regression skills: $65,000–$110,000/year
Applicable in industries like retail, banking, marketing, and consulting
Specification: Linear Regression and Modeling
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