Free
Course

Python for Data Science: Working with Data

Learn loops, control flow, and functions while working hands-on to merge, aggregate, and analyze real-world datasets.

4.49 out of 5 stars
6,625 learners enrolled
  • Skill level

    Beginner
  • Time to complete

    8 hours
  • Certificate of completion

    Included with paid plans
  • Prerequisites

    1 course

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 quizzes

The platform

Hands-on learning

Animated GIF of an AI provided error explanation within Codecademy's learning environment
Mobile-friendly version of a lesson and code editor for the course 'Introduction to HTML' running in Codecademy's learning environment
An AI-generated hint within the instructions of a Codecademy project
Animated GIF of a mouse cursor hovering over the Python term "comment" displaying a Docs tooltip within a Codecademy lesson
Meet the creator of the course
Ada Morse
Data Science Instructional Designer at Codecademy
Ada is a Data Science Instructional Designer at Codecademy. Her background is in mathematics, with a Ph.D. focused on the design of self-assembling DNA nanostructures. Ada has worked on courses across our Data Science catalog, covering topics including Python, Excel, and Data Engineering.

Python for Data Science: Working with Data course ratings and reviews

4.49 out of 5 stars
83 ratings
  1. 5 stars
  2. 4 stars
  3. 3 stars
  4. 2 stars
  5. 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.
    Chris
    Codecademy 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.
    Rodrigo
    Codecademy Learner @ UK
  • Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.
    John-Andrew
    Codecademy Learner @ USA

Our learners work at

  • Google Logo
  • Meta Logo
  • Apple Logo
  • EA Logo
  • Amazon Logo
  • IBM Logo
  • Microsoft Logo
  • Reddit Logo
  • Spotify Logo
  • Uber Logo
  • YouTube Logo
  • Instagram Logo

Join over 50 million learners and start Python for Data Science: Working with Data today!

Looking for something else?

Browse more topics

View full catalog

Unlock additional features with a paid plan

  • 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.