Time to completeApprox. 5 hours
Certificate of completionIncluded with paid plans
About this course
Ready to start your journey into Data Science? This course covers everything you need to build a solid foundation in best practices and workflows. You’ll get hands-on practice with real datasets while learning to program and analyze data in Python. Throughout the course, you’ll be working in Jupyter Notebook, an industry standard platform for interactively developing data analytics.
Skills you'll gain
Explore and summarize real datasets
Sort and filter datasets to find relevant data to answer real data questions
Transform raw data into analytics-ready datasets
Syllabus3 lessons • 3 projects • 3 quizzes
4 out of 5 Codecademy learners achieve their goals"Codecademy gave me the tools I needed to land my first job as a developer, completely changing my career from the waste industry." - Jonathan Manner, Sweden
Projects in this course
Getting Started with Python for Data Science course ratings and reviews
- 5 stars
- 4 stars
- 3 stars
- 2 stars
- 1 star
- 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
Our learners work at
Unlock additional features with a paid plan
Practice ProjectsGuided projects that help you solidify the skills and concepts you're learning.
AssessmentsAuto-graded quizzes and immediate feedback help you reinforce your skills as you learn.
Certificate of CompletionEarn a document to prove you've completed a course or path that you can share with your network.