Data Science: Linear Regression

عن

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 ofourProfessional 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.

What you will 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

Skills you learn

• Linear Regression
• Statistical Modeling
• Data Science

Auto Summary

Discover the foundational principles of linear regression in the realm of data science with our comprehensive course, offered by edX. Perfect for those venturing into IT and Computer Science, this course focuses on leveraging R programming to implement one of the most widely-used statistical modeling techniques. Over the span of 35 hours, you will gain practical skills and theoretical knowledge essential for data analysis and interpretation. With flexible subscription options including Starter and Professional plans, this course is designed to cater to a wide range of learners, from beginners to those looking to solidify their foundational skills in data science. Whether you're just starting out or seeking to enhance your statistical modeling capabilities, this course provides a robust introduction to linear regression. Join now to elevate your data science expertise under the guidance of experienced instructors.