Path overview

In this path, you’ll explore the basics of Python programming from preparing data all the way to predicting trends from real-world data. You’ll learn the fundamentals of Python, how to use Jupyter notebooks, work with numerical and text data and basic object-oriented programming.


Best of all, you’ll learn by doing — you’ll write code and get feedback directly in the browser. You’ll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.

Key skills

  • Programming with Python to perform complex statistical analysis of large datasets

  • Using Jupyter notebooks to create and share documents

  • Working with text, date, and time data

  • Performing object-oriented and functional programming with Python

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Master skills faster
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Go from zero to job-ready

Learn exactly what you need to achieve your goal. Don’t waste time on unrelated lessons.

Build your project portfolio

Build confidence with our in-depth projects, and show off your data skills.

Challenge yourself with exercises

Work with real data from day one with interactive lessons and hands-on exercises.

Showcase your path certification

Impress employers by completing a capstone project and certifying it with an expert review.

Path outline

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Projects in this path

Learning resources

8 Skills You Need to Become a Data Analyst

Learn the key skills required to get a job as a Data Analyst.

Read Article

Data Engineer, Data Analyst, Data Scientist — What’s the Difference?

Learn which data role is right for you.

Read Article

Do You Need a Certificate to Become a Data Analyst?

Find out if you need a certification to become a Data Analyst.

Read Article

An Objective Comparison Between R vs Python for Data Analysis

Determine whether R or Python will work better for you.

Read Article

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