Introduction to Data Analysis

In this 10-week Intensive, you’ll learn the data skills you need for your job including how to make data visualizations with Matplotlib, analyze A/B tests with NumPy and SciPy, and manipulate data with SQL and Pandas.

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Enrollments close April 30.
$199 due to claim your seat.

What You'll Learn in
Introduction to Data Analysis

Businesses increasingly create, track and rely on data. Your ability to get a “yes” often depends on your ability to get proof. In this course, you’ll learn hypothesis & A/B testing, SQL that allows you to query databases, data visualization basics, and simple, yet sound analysis techniques.
Take these skills to the real world in your capstone project with a presentation that synthesizes your findings and prepares you to make an argument in a professional setting. Along the way you’ll be guided by mentors, join a community of learners and complete 12 other projects.

  1. Unit 1

    Data Visualization with Matplotlib

    Create detailed graphs with Matplotlib to present your data findings
  2. Unit 2

    Data Analysis with Pandas

    You can load, inspect and modify data with Pandas, a python library, and perform advanced data analysis.
  3. Unit 3

    Basic Statistics with Numpy

    Explore basic statistics and describe real data with integrity
  4. Unit 4

    Comparative Statistics with Scipy

    Design A/B tests and prove significance to make data-driven decisions
  5. Unit 5

    Data Acquisition with SQL

    Start with SQL basics and move into advanced queries turning large data sets into specific findings
Hillary Green-Lerman, a Codecademy Curriculum Designer

What makes Codecademy Pro Intensive different?

“This Intensive was written by teachers who are also Data Scientists. Our first priority is making the material fun, accessible, and relevant to anyone - not just folks with PhDs in math and science. In an increasingly data-driven world, this course will help you feel empowered to work with Big Data and make Big Decisions.”

—Hillary Green-Lerman
Codecademy Head of Data Science & Former Principal Data Analyst at Knewton, Author of 3 Nature papers on computational science
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The Capstone Project You’ll Use in Your Career

You’ll be able to choose from two different capstone projects:
In Project 1, you’ll explore customer retention by running an A/B test for a chain of gyms and present your findings and optimizations.
In Project 2, you’ll analyze data for patterns by looking at endangered species for the National Parks Service.
For both projects, you’ll create a presentation, and optionally record yourself giving it.

Code Reviews by Professional Developers

Our team of developers will review your final projects and give you detailed and personalized feedback.

Program Details: Introduction to Data Analysis

Last Day to Enroll

April 30

Start Date

April 30

End Date

July 9



Time Commitment

While you’ll be able to move at your own speed, you should make sure that you generally have at least 10 hours a week to dedicate to the program in order to stay on track.


There are no requirements but we highly suggest a few prerequisites: Pre-algebra (averages, basic conversions and numeracy). This Intensive is available only in English.

Satisfaction Guarantee

We designed a program that we think you'll love. If this Codecademy Pro Intensive isn’t right for you, you can request a full refund within the first week.

Additional Questions?

Visit our Frequently Asked Questions page to find additional information or to contact our support team.

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