Wes - Regression Modeling in Practice
- Offered byCoursera
Regression Modeling in Practice at Coursera Overview
Duration | 11 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Regression Modeling in Practice at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 3 of 5 in the Data Analysis and Interpretation Specialization
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Approx. 11 hours to complete
- English Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
Regression Modeling in Practice at Coursera Course details
- This course focuses on one of the most important tools in your data analysis arsenal: regression analysis. Using either SAS or Python, you will begin with linear regression and then learn how to adapt when two variables do not present a clear linear relationship. You will examine multiple predictors of your outcome and be able to identify confounding variables, which can tell a more compelling story about your results. You will learn the assumptions underlying regression analysis, how to interpret regression coefficients, and how to use regression diagnostic plots and other tools to evaluate the quality of your regression model. Throughout the course, you will share with others the regression models you have developed and the stories they tell you.
Regression Modeling in Practice at Coursera Curriculum
Introduction to Regression
Lesson 1: Observational Data
Lesson 2: Experimental Data
Lesson 3: Confounding Variables
Lesson 4: Introduction to Multivariate Methods
Some Guidance for Learners New to the Specialization
Getting Set up for Assignments
Tumblr Instructions
How to Write About Data
Writing About Your Data: Example Assignment
Basics of Linear Regression
SAS Lesson 1: More on Confounding Variables
SAS Lesson 2: Testing a Basic Linear Regression Mode
SAS Lesson 3: Categorical Explanatory Variables
Python Lesson 1: More on Confounding Variables
Python Lesson 2: Testing a Basic Linear Regression Model
Python Lesson 3: Categorical Explanatory Variables
Lesson 4: Linear Regression Assumptions
Lesson 5: Centering Explanatory Variables
SAS or Python - Which to Choose?
Getting Started with SAS
Getting Started with Python
Course Codebooks
Course Data Sets
Uploading Your Own Data to SAS
SAS Program Code for Video Examples
Python Program Code for Video Examples
Outlier Decision Tree
Multiple Regression
SAS Lesson 1: Multiple Regression
SAS Lesson 2: Confidence Intervals
SAS Lesson 3: Polynomial Regression
SAS Lesson 4: Evaluating Model Fit, pt. 1
SAS Lesson 5: Evaluating Model Fit, pt. 2
Python Lesson 1: Multiple Regression
Python Lesson 2: Confidence Intervals
Python Lesson 3: Polynomial Regression
Python Lesson 4: Evaluating Model Fit, pt. 1
Python Lesson 5: Evaluating Model Fit, pt. 2
SAS Program Code for Video Examples
Python Program Code for Video Examples
Logistic Regression
SAS Lesson 1: Categorical Explanatory Variables with More Than Two Categories
Python Lesson 1: Categorical Explanatory Variables with More Than Two Categories
Lesson 2: A Few Things to Keep in Mind
SAS Lesson 3: Logistic Regression for a Binary Response Variable, pt 1
SAS Lesson 4: Logistic Regression for a Binary Response Variable, pt. 2
Python Lesson 3: Logistic Regression for a Binary Response Variable, pt. 1
Python Lesson 4: Logistic Regression for a Binary Response Variable, pt. 2
SAS Program Code for Video Examples
Python Program Code for Video Examples
Week 1 Video Credits
Week 2 Video Credits
Week 3 Video Credits
Week 4 Video Credits
Regression Modeling in Practice at Coursera Admission Process
Important Dates
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