4.2 Read 93 reviews
Overview
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. Special cases of the regression model, ANOVA and ANCOVA will be covered as well. Analysis of residuals and variability will be investigated. The Regression Models course offered by Coursera in partnership Johns Hopkins University will cover modern thinking on model selection and novel uses of regression models including scatterplot smoothing.
What you will learn
- Use regression analysis, least squares and inference
- Understand ANOVA and ANCOVA model cases
- Investigate analysis of residuals and variability
- Describe novel uses of regression models such as scatterplot smoothing
Programme Structure
Courses include:
- Least Squares and Linear Regression
- Linear Regression & Multivariable Regression
- Multivariable Regression, Residuals, & Diagnostics
- Logistic Regression and Poisson Regression
Key information
Duration
- Part-time
- 1 months
- 10 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
- Self-paced
Campus Location
- Mountain View, United States
Disciplines
Applied Mathematics Machine Learning View 213 other Short Courses in Machine Learning in United StatesWhat students do after studying
Join for free or log in to access our complete career info list.
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- To obtain additional information about the programme, we kindly suggest that you visit the programme website, where you can find further details and relevant resources.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
Additional Details
Audit: free access to course materials except graded items|Certificate: a trusted way to showcase your skills|A year of unlimited access with Coursera Plus $199
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
Improve page content