Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Getting Started with Python for Data Science

Go to class Write review

Scrimba

Free courses from frontend to fullstack and AI

Corporate Finance Institute

Build the Finance Skills That Lead to Promotions — Not Just Certificates

Overview

Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off

One annual plan covers every course and certificate on Coursera. 40% off for a limited time.

Get Full Access

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.

Syllabus

Exploring Data with Python: Get started exploring datasets using Python, pandas, and Jupyter Notebook.

Lesson: Exploring Data with Python
Project: Explore Laptop Repair Data with Python
Quiz: Exploring Data with Python

Sorting and Filtering Rows: Learn how to structure data by sorting rows and how to zoom in on important data using Boolean filters.

Lesson: Sorting and Filtering Rows
Project: Analyze Electric Vehicle Stations with Python
Quiz: Sorting and Filtering Rows

Cleaning and Transforming Columns: Learn how to transform raw columns of data into analytics-ready tables using column-based calculations.

Lesson: Cleaning and Transforming Columns
Project: Analyze Wage Data with Python
Quiz: Cleaning and Transforming Columns

Next Steps: You've completed Getting Started with Python for Data Science! What's next?

Informational: Getting Started with Python for Data Science: Next Steps

Taught by

Ada Morse

Reviews

4.6 rating at Codecademy based on 1741 ratings

Start your review of Getting Started with Python for Data Science