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This course Must Know Regression Models Skills will cover modern thinking on model selection and novel uses of regression models including scatterplot smoothing.
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About this Course
Linear models, as their name implies, relate an outcome to a set of predictors of interest using linear assumptions. Regression models, a subset of linear models, are the most important statistical analysis tool in a data scientist’s toolkit.
This course, Must Know Regression Models Skills covers regression analysis, least squares, and inference using regression models. Special cases of the regression model, ANOVA, and ANCOVA will be covered as well. Analysis of residuals and variability will be investigated.
What You Will Learn
- Use regression analysis, least squares, and inference
- Understand ANOVA and ANCOVA model cases
- Investigate analysis of residuals and variability in Must Know Regression Models Skills
- Describe novel uses of regression models such as scatterplot smoothing
Skills You Will Gain
- Model Selection
- Generalized Linear Model
- Linear Regression in Must Know Regression Models Skills
- Regression Analysis
Syllabus
WEEK 1
13 hours to complete
Week 1: Least Squares and Linear Regression
This week, we focus on least squares and linear regression.
9 videos (Total 74 min), 11 readings, 4 quizzes
WEEK 2
11 hours to complete
Week 2: Linear Regression & Multivariable Regression
This week, we will work through the remainder of linear regression and then turn to the first part of multivariable regression.
10 videos (Total 70 min), 5 readings, 4 quizzes
WEEK 3
14 hours to complete
Week 3: Must Know Regression Models Skills: Multivariable Regression, Residuals, & Diagnostics
This week, we’ll build on last week’s introduction to multivariable regression with some examples and then cover residuals, diagnostics, variance inflation, and model comparison.
14 videos (Total 168 min), 5 readings, 5 quizzes
WEEK 4
16 hours to complete
Week 4: Must Know Regression Models Skills: Logistic Regression and Poisson Regression
This week, we will work on generalized linear models, including binary outcomes and Poisson regression.
7 videos (Total 95 min), 6 readings, 6 quizzes
