Time to completeApprox. 2 hours
Certificate of completionIncluded with paid plans
About this course
One of the biggest challenges data scientists face is having sparse data to answer your question. This course will introduce you to some of the most common techniques for balancing data into treatment and control groups, estimating treatment effects, and making the most of the data that you do have.
Matching and Weighting Methods
Learn about matching and weighting methods including stratification and propensity scores!
Hands-on learningDon’t just watch or read about someone else coding — write your own code live in our online, interactive platform. You’ll even get AI-driven recommendations on what you need to review to help keep you on track.
Reviews from learners
- The progress I have made since starting to use codecademy is immense! I can study for short periods or long periods at my own convenience - mostly late in the evenings.ChrisCodecademy Learner @ USA
- I felt like I learned months in a week. I love how Codecademy uses learning by practice and gives great challenges to help the learner to understand a new concept and subject.RodrigoCodecademy Learner @ UK
- Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.John-AndrewCodecademy Learner @ USA