Skip to main content

Guido Romero has completed

Intermediate Regression with statsmodels in Python

Start course For Free
4 hours
4,300 XP
Statement of Accomplishment Badge

Loved by learners at thousands of companies

Course Description

Linear regression and logistic regression are the two most widely used statistical models and act like master keys, unlocking the secrets hidden in datasets. In this course, you’ll build on the skills you gained in "Introduction to Regression in Python with statsmodels", as you learn about linear and logistic regression with multiple explanatory variables. Through hands-on exercises, you’ll explore the relationships between variables in real-world datasets, Taiwan house prices and customer churn modeling, and more. By the end of this course, you’ll know how to include multiple explanatory variables in a model, discover how interactions between variables affect predictions, and understand how linear and logistic regression work.
For Business

GroupTraining 2 or more people?

Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and more
Try DataCamp for BusinessFor a bespoke solution book a demo.
  1. 1

    Parallel Slopes


    Extend your linear regression skills to parallel slopes regression, with one numeric and one categorical explanatory variable. This is the first step towards conquering multiple linear regression.

    Play Chapter Now
    Parallel slopes linear regression
    50 xp
    Fitting a parallel slopes linear regression
    100 xp
    Interpreting parallel slopes coefficients
    100 xp
    Visualizing each explanatory variable
    100 xp
    Visualizing parallel slopes
    100 xp
    Predicting parallel slopes
    50 xp
    Predicting with a parallel slopes model
    100 xp
    Visualizing parallel slopes model predictions
    100 xp
    Manually calculating predictions
    100 xp
    Assessing model performance
    50 xp
    Comparing coefficients of determination
    100 xp
    Comparing residual standard error
    100 xp

In the following tracks

Statistics Fundamentals


Collaborator's avatar
Richie Cotton
Collaborator's avatar
Maggie Matsui
Collaborator's avatar
Amy Peterson
Maarten Van den Broeck HeadshotMaarten Van den Broeck

Senior Content Developer at DataCamp

Maarten is an aquatic ecologist and teacher by training and a data scientist by profession. He is also a certified Power BI and Tableau data analyst. After his career as a PhD researcher at KU Leuven, he wished that he had discovered DataCamp sooner. He loves to combine education and data science to develop DataCamp courses. In his spare time, he runs a symphonic orchestra.
See More

Join over 13 million learners and start Intermediate Regression with statsmodels in Python today!

Create Your Free Account



By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.