
Overview
Linear regression is commonly used to quantify the relationship between two or more variables. It is also used to adjust for confounding. This Data Science - Linear Regression Certificate, which is part of Data Science Professional Certificate Program from EdX in partnership with Harvard University - HarvardX, covers how to implement linear regression and adjust for confounding in practice using R.
Key facts
In data science applications, it is very common to be interested in the relationship between two or more variables. The motivating case study we examine in this course relates to the data-driven approach used to construct baseball teams described in Moneyball. We will try to determine which measured outcomes best predict baseball runs by using linear regression.
We will also examine confounding, where extraneous variables affect the relationship between two or more other variables, leading to spurious associations. Linear regression is a powerful technique for removing confounders, but it is not a magical process. It is essential to understand when it is appropriate to use, and this course will teach you when to apply this technique.
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Visit programme websiteProgramme Structure
What you'll learn:
How linear regression was originally developed by Galton
What is confounding and how to detect it
How to examine the relationships between variables by implementing linear regression in R
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 2 months
- 1 hrs/week
Start dates & application deadlines
- StartingApply anytime.
Language
Delivered
- Self-paced
Disciplines
Statistics Data Science & Big Data View 578 other Short Courses in Data Science & Big Data in United StatesExplore more key information
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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
- 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.
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
149 USD/fullTuition FeeBased on the tuition of 149 USD for the full programme during 2 months. -
National
149 USD/fullTuition FeeBased on the tuition of 149 USD for the full programme during 2 months.
- Limited access: Free
- Unlimited access + Verified Certificate for $149 USD