• Anytime
    Application Deadline
  • 28 days
    Duration
EdX is an online learning platform trusted by over 12 million users offering the Data Science - Linear Regression Certificate in collaboration with Harvard University - HarvardX. Learn how to use R to implement linear regression, one of the most common statistical modeling approaches used in data science. 

About

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 from EdX in partnership with Harvard University - HarvardX, covers how to implement linear regression and adjust for confounding in practice using R.

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 the book (also a movie) Moneyball. We will try to determine which measured outcomes best predict baseball runs and to do this we'll use 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 and it is important to understand when it is appropriate to use. You will learn when to use it in this course. 

Detailed Programme Facts

  • Programme intensity Part-time
    • Average part-time duration 28 days
    • Part-time variant
      Flexible
    • Duration description

      Length: 4 weeks Effort: 2 to 4 hours per week

  • Languages
    • English
  • Delivery mode
    Online
  • More information Go to the programme website

Programme 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

English Language Requirements

This programme requires students to demonstrate proficiency in English.

Tuition Fee

  • International Applies to you

    49 USD/full
    Tuition Fee
    Based on the original amount of 49 USD for the full programme and a duration of 28 days.
  • National Applies to you

    49 USD/full
    Tuition Fee
    Based on the original amount of 49 USD for the full programme and a duration of 28 days.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.
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Funding

Check the programme website for information about funding options.

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