Regression Modeling for Data Analysis - Udemy

A complete hands on practical exercises to build regression models that are highly used for business data analysis. This course is designed to start with the very basics then add up information gradually till the professional level.  Accordingly students who have fair background in regression analysis can choose to jump to the practical part of the course to learn building regression models in detail. 

In this course you will learn about different types of regression models and learn to build and use the ones used in business data analysis. You will start first with Simple Linear Regression. After that Multiple Linear Regression when you use several independent variables to predict the target value. After that you will learn Logistic Regression for classification. You will learn step by step how to understand a business problem from data observations and determine the variables you need to include in the regression analysis.

You will also learn how to interpret model coefficients from business point of view and assess regression model's prediction power using several indicators, such as: R-squared and p-value. After that you will be able  to prepare your business recommendations that can be used by decision makers.  You will learn using important data analysis applications like Microsoft Excel, Gretl and R.