Free
CoursePython for Data Science: Working with Data
Learn loops, control flow, and functions while working hands-on to merge, aggregate, and analyze real-world datasets.
Skill level
BeginnerTime to complete
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary8 hoursCertificate of completion
Included with paid plansPrerequisites
1 courseWe suggest you complete the following courses before you get started with Python for Data Science: Working with Data:- Getting Started with Python for Data Science
About this course
Ready to take the next step in learning data science? In this course, you’ll get hands-on practice with standard data techniques like merges, groupbys, and pivot tables while learning Python tools like loops, control flow, and functions. During the course, you’ll analyze four real datasets in Jupyter Notebook, an industry standard platform for interactively developing data analytics.
Skills you'll gain
Write loops and functions in Python
Write and apply custom functions
Merge related datasets together
Summarize data with groupby and pivots
Syllabus
4 lessons • 3 projects • 3 quizzesMeet the creator of the course
Ada Morse
Data Science Instructional Designer at Codecademy Python for Data Science: Working with Data course ratings and reviews
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- 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
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- Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.John-AndrewCodecademy Learner @ USA
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Practice Projects
Guided projects that help you solidify the skills and concepts you're learning.Assessments
Auto-graded quizzes and immediate feedback help you reinforce your skills as you learn.Certificate of Completion
Earn a document to prove you've completed a course or path that you can share with your network.