New course!

Take your skills with simple linear regression to the next level. By learning multiple and logistic regression techniques, you will gain the skills to model and predict both numeric and categorical outcomes using multiple input variables. You'll also learn how to fit, visualize, and interpret these models. [DataCamp]( New Course! [Regression]( Multiple and Logistic Regression Taught by Ben Baumer, Assistant Professor at Smith College Take your skills with simple linear regression to the next level. By learning multiple and logistic regression techniques, you will gain the skills to model and predict both numeric and categorical outcomes using multiple input variables. You'll also learn how to fit, visualize, and interpret these models. [Play now ›]( Multiple and Logistic Regression: What You'll Learn Chapter 1: Parallel Slopes Learn about the class of linear models called "parallel slopes models." Chapter 2: Evaluating and extending parallel slopes model Learn to compare models so that you can select the best one. Chapter 3: Multiple Regression This chapter will show you how to add two, three, and even more numeric explanatory variables to a linear model. Chapter 4: Logistic Regression In this chapter you'll learn about using logistic regression. Chapter 5: Case Study: Italian restaurants in NYC Explore the relationship between price and the quality of food, service, and decor for Italian restaurants in NYC. [Play Now ›]( DataCamp Inc. 2067 Massachusetts avenue Cambridge MA 02140 [Unsubscribe](