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.
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.
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.