Individual Course

Data Science: Linear Regression

Course Length

8 weeks

1-2 hours a week

Featuring faculty from:

Harvard T.H. Chan School of Public Health

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Certificate Price:

$ 149

On demand

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Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.

Linear regression is commonly used to quantify the relationship between two or more variables. It is also used to adjust for confounding. This course, part of our Professional Certificate Program in Data Science, 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 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.

Self-Guided

edX

Learning Outcome
Understand how linear regression was originally developed by Galton
Learning Outcome
Learn about confounding and how to detect it
Learning Outcome
Learn how to examine the relationships between variables by implementing linear regression in R

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Program in this topic

Data Science

These courses can be bundled together to receive a professional certificate at a discounted price.

See program

8 Courses available

Data Science: Capstone

Start today • 15-20 hours a week

Certificate

Data Science: Visualization

Start today • 1-2 hours a week

Certificate

Data Science: Inference and Modeling

Start today • 1-2 hours per week

Certificate

Data Science: Probability

Start today • 1-2 hours a week

Certificate

Data Science: Building Machine Learning Models

Start today • 2-4 hours a week

Certificate

Data Science: Wrangling

Start today • 1-2 hours a week

Data Science: R Basics

Start today • 1-2 hours a week

Certificate

Data Science: Productivity Tools

Start today • 1-2 hours a week

Certificate

Faculty

Your Instructor

Rafael Irizarry

Professor of Biostatistics, Harvard T.H. Chan School of Public Health

Rafael Irizarry is a Professor of Biostatistics at the Harvard T.H. Chan School of Public Health and a Professor of Biostatistics and Computational Biology at the Dana Farber Cancer Institute. For the past 15 years, Dr. Irizarry’s research has focused on the analysis of genomics data. During this time, he has also taught several classes, all related to applied statistics. Dr. Irizarry is one of the founders of the Bioconductor Project, an open source and open development software project for the analysis of genomic data. His publications related to these topics have been highly cited and his software implementations widely downloaded.

Read full bio.

Ways to take this course

Audit or Pursue a Verified Certificate

A Verified Certificate costs $149 and provides unlimited access to full course materials, activities, tests, and forums. At the end of the course, learners who earn a passing grade can receive a certificate.

⁠Alternatively, learners can Audit the course for free and have access to select course material, activities, tests, and forums. Please note that this track does not offer a certificate for learners who earn a passing grade.

FAQs

Are there any prerequisites for these courses?

No prerequisites are required. However, courses later in the series will assume you have the knowledge and skills acquired from earlier courses.

We suggest learners take the courses in the order in which they appear on the HarvardX Data Science Professional Certificate page.

If I don’t finish all the courses during this run, can I pick up my progress in the next run of courses?

Yes, to maximize flexibility learners can complete the courses across different runs of the course.

However each individual course must be completed within the same course run as progress on an individual course will not transfer between course runs.

I'm not a data scientist. Can I still take this course?

Yes! You don’t need to be a data scientist to take these courses. The HarvardX Data Science Professional Certificate is designed for those who want to learn the fundamentals of data science and programming with R.

What is the difference between the HarvardX Data Science Professional Certificate and CS50 Computer Science courses?

Courses in the HarvardX Data Science Professional certificate teaches learners the fundamental knowledge of data science, including essential data science skills such as data wrangling, programming with R, data visualization and other skills.

The HarvardX CS50 courses teaches learners the fundamentals of computer science including some commonly used programming languages such as C, Python, SQL, JavaScript plus CSS, and HTML.Learners in CS50 can explore computer science, mobile app and game development, business technologies, and the art of programming in other CS50 courses.

For more information on CS50 on edX visit the CS50 page.