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Overview
These models allow you to assess the relationship between variables in a data set and a continuous response variable. Is there a relationship between the physical attractiveness of a professor and their student evaluation scores? Can we predict the test score for a child based on certain characteristics of his or her mother?
Key facts
In this Linear Regression and Modeling course offered by Coursera in partnership with Duke University, you will learn the fundamental theory behind linear regression and, through data examples, learn to fit, examine, and utilize regression models to examine relationships between multiple variables, using the free statistical software R and RStudio.
Skills you'll gain
- Statistical Analysis
- Model Evaluation
- Probability & Statistics
- Predictive Modeling
- Mathematical Modeling
- Statistical Inference
- Statistical Modeling
- Statistical Methods
- Statistical Programming
- Data Analysis
- Regression Analysis
- Statistics
- Correlation Analysis
- Statistical Hypothesis Testing
Programme Structure
Courses include:
- About Linear Regression and Modeling
- Statistics with R
- Correlation
- Residuals
- Least Squares Line
- Prediction and Extrapolation
- Conditions for Linear Regression
Key information
Duration
- Part-time
- 7 days
- 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
Statistics View 109 other Short Courses in Statistics in United StatesWhat students do after studying
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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
- Beginner Level
- This course is aimed at learners with a background in statistics who want to develop skills in linear regression and modeling to analyze relationships between variables and make data‑driven predictions using R.
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
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Domestic
Applies to youIn-StateFree
Additional Details
- This short course is included with Coursera Plus subscription
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.
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