Variable Selection, Model Validation, Nonlinear Regression
- Offered byCoursera
- Public/Government Institute
Variable Selection, Model Validation, Nonlinear Regression at Coursera Overview
Duration | 20 hours |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
- Overview
- Highlights
- Course Details
- Curriculum
Variable Selection, Model Validation, Nonlinear Regression at Coursera Highlights
- Earn a certificate from Illinois Tech
- Add to your LinkedIn profile
- 6 quizzes, 4 assignments
Variable Selection, Model Validation, Nonlinear Regression at Coursera Course details
- If you have a technical background in mathematics/statistics/computer science/engineering and or are pursuing a career change to jobs or industries that are data-driven, this course is for you. Those industries might be finance, retail, tech, healthcare, government, or many others. The opportunity is endless.
- This course will focus on getting you acquainted with the generalized linear model (GLM) through the examples of logistic and Poisson regression. You will also see how simple and multiple linear regression relates to GLM using the link function. We will also study a regression technique that is robust to having outliers in the data. Finally, we will learn how to perform model validation involving GLM.
- After this course, students will be able to:
- - Determine which regression models to use based on the nature of the response variable.
- - Use regression technique which is robust to the presence of outliers.
- - Perform generalized linear regression using R by identifying the correct link function.
- - Interpret and draw conclusions on the regression model.
- - Use R to perform statistical inference based on the regression models.
Variable Selection, Model Validation, Nonlinear Regression at Coursera Curriculum
Module 1: Logistic Regression
Course Welcome
Module 1 Introduction
Lesson 1 Introduction
Logistic Regression - Part 1
Lesson 2 Introduction
Logistic Regression Part II - Part 1
Logistic Regression Part II - Part 2
Syllabus
Video 22 Slides - Introduction to Logistic Regression Part I (pdf)
Video 23 Slides - Introduction to Logistic Regression Part II (pdf)
Module 1 Summary
Introduction to Logistic Regression Part I
Intro to Logistic Regression Part II
Module 1 Summative Assessment
Meet and Greet Discussion
Module 2: Poisson Regression and Generalized Linear Model
Module 2 Introduction
Lesson 3 Introduction
Poisson Regression - Part 1
Poisson Regression - Part 2
Lesson 4 Introduction
GLM
Video 24 Slides - Poisson Regression (pdf)
Video 25 Slides - Generalized Linear Models (pdf)
Module 2 Summary
Poisson Regression
Generalized Linear Models
Module 2 Summative Assessment
Module 3: Robust Regression and Model Validation
Module 3 Introduction
Lesson 5 Introduction
Robust Regression - Part 1
Robust Regression - Part 2
Lesson 6 Introduction
Model Validations - Part 1
Model Validations - Part 2
Video 26 Slides - Robust Regression (pdf)
Video 27 Slides - Variable Selection and Model Validation (pdf)
Module 3 Summary
Robust Regression
Variable Selection and Model Validation
Module 3 Summative Assessment
Summative Course Assessment
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