About this course: Linear models, as their name implies, relates 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 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. The course will cover modern thinking on model selection and novel uses of regression models including scatterplot smoothing.
Created by: Johns Hopkins University
Taught by: Brian Caffo, Professor, Biostatistics
Bloomberg School of Public Health
Taught by: Roger D. Peng, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health
Taught by: Jeff Leek, Associate Professor, Biostatistics
Bloomberg School of Public Health
| Basic Info | Course 7 of 10 in the Data Science Specialization. |
| Language | English |
| How To Pass | Pass all graded assignments to complete the course. |
| User Ratings |
Syllabus
WEEK 1
Week 1: Least Squares and Linear Regression
This week, we focus on least squares and linear regression.
9 videos, 11 readings
Graded: Quiz 1
WEEK 2
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, 5 readings
Graded: Quiz 2
WEEK 3
Week 3: 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, 5 readings, 1 reading
Graded: Quiz 3
WEEK 4
Week 4: Logistic Regression and Poisson Regression
This week, we will work on generalized linear models, including binary outcomes and Poisson regression.
7 videos, 6 readings
Graded: Quiz 4
Graded: Regression Models Course Project
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Coursework
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Creators
Johns Hopkins University
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
Pricing
| Audit | Purchase Course | |
|---|---|---|
| Access to Course Materials | Available | Available |
| Access to Graded Materials | Not available | Available |
| Receive a Final Grade | Not available | Available |
| Earn a Shareable Certificate | Not available | Available |
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