Skill Path

Analyze Data with Python

Learn to analyze and visualize data using Python and statistics.

Includes Python, NumPy, SciPy, MatPlotLib, Jupyter Notebook, and more.

To start this Skill Path, upgrade your plan.
  • Skill level

  • Time to complete

    6 weeks
  • Certificate of completion

  • Prerequisites


About this skill path

Data is everywhere, and more companies than ever are tracking and analyzing data to inform their decisions. In this Skill Path, you will learn to analyze data statistically and create meaningful data visualizations. You will use industry standard Python libraries including MatPlotLib, NumPy and SciPy. Along the way, you will apply these skills to real-world cases and build your data portfolio.

Skills you'll gain

  • Describe datasets statistically
  • Communicate insights visually
  • Test hypotheses for significance
  • Run A/B tests from start to finish


7 units • 14 lessons • 11 projects • 10 quizzes
  • 1

    Welcome to the Analyze Data with Python Skill Path

    Get started with the Analyze Data with Python Skill Path.

  • 2

    NumPy: A Python Library for Statistics

    Learn about NumPy, a Python library used to store arrays of numbers, organize large amounts of data, and perform statistical calculations.

  • 3

    Data Visualization with Matplotlib

    Make effective, customized data visualizations in Python with Matplotlib.

  • 4

    Statistics for Data Analysis

    Learn how to calculate and interpret several descriptive statistics using the Python library NumPy.

  • 5

    Hypothesis Testing with SciPy

    Learn SciPy, a Python module for comparative statistics, in order to perform many different statistical tests in code.

  • 6

    Analyze Data with Python Portfolio Project

    Create a data analysis project for your portfolio.

  • 7

    Analyze Data with Python Next Steps

    What’s next?

The platform

Hands-on learning

Don'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.
Animated demonstration of running code in Codecademy's learning environment

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What's included in skill paths

  • 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.
How it works

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    We guide you through exactly where to start and what to learn next to build a new skill.
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    We’ve hand-picked the content in each Skill Path to fast-track your journey and help you gain a new skill in just a few months.

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