Learn Data Analysis with Pandas
Learn the basics of Pandas, an industry standard Python library that provides tools for data manipulation and analysis.
30,675 learners enrolled
Time to completeApprox. 6 hours
Certificate of completionIncluded with paid plans
Prerequisites1 courseWe suggest you complete the following courses before you get started with Learn Data Analysis with Pandas:
- Learn Python 2
About this course
Pandas provides tools for working with tabular data, i.e. data that is organized into tables that have rows and columns. Tabular data has a lot of the same functionality as SQL or Excel, but Pandas adds the power of Python.
Syllabus4 lessons • 3 projects • 4 quizzes
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.
Learn Data Analysis with Pandas 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.
Frequently asked questions about Data Analysis with Pandas
Businesses and organizations collect tons of data on their clients and customers, and data analysis means going through it all to find patterns, trends, and other valuable information. These insights can be used for many purposes, from building new products and technologies to improving systems and processes.