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.
Always verify the dates on the programme website programme website .
Length: 4 weeks Effort: 2 to 4 hours per week
This programme requires students to demonstrate proficiency in English.
Check the programme website for information about funding options.
StudyPortals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Together with the ISIC Association and British Council IELTS, StudyPortals offers you the chance to receive up to £10000 to expand your horizon and study abroad. We want to ultimately encourage you to study abroad in order to experience and explore new countries, cultures and languages.