Understanding and Applying Linear Regression

Linear regression is a powerful tool, applicable in many common situations in business and data analysis. This course will cover both the theory and implementation of linear regression in Excel, Python, and R.
Course info
Rating
(53)
Level
Beginner
Updated
Feb 10, 2017
Duration
4h 12m
Table of contents
Course Overview
Modeling Relationships Between Variables Using Regression
Understanding Simple Regression Models
Implementing Simple Regression Models in Excel
Implementing Simple Regression Models in R
Implementing Simple Regression Models in Python
Understanding Multiple Regression Models
Implementing Multiple Regression Models in Excel
Implementing Multiple Regression Models in R
Implementing Multiple Regression Models in Python
Description
Course info
Rating
(53)
Level
Beginner
Updated
Feb 10, 2017
Duration
4h 12m
Description

Linear regression is a key technique used in forecasting and in quantifying cause-effect relationships. In this course, Understanding and Applying Linear Regression, you will learn how to identify patterns in data and test those relationships for statistical soundness. You will also learn simple regression and multiple regression. Finally, you'll explore the use of categorical variables. When you're finished with this course, you will have a strong applied knowledge of regression in Excel, R, and Python that will help with factor analysis, logistic regression, and other powerful techniques.

About the author
About the author

An engineer and tinkerer, Vitthal has worked at Google, Credit Suisse, and Flipkart and studied at Stanford and INSEAD. He has worn many hats, each of which has involved writing code and building models. He is passionately devoted to his hobby of laughing at his own jokes.

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