Career Path

Data Analyst (2021 version)

Learn Python and SQL, and build the skills you need to query, analyze, visualize data — and communicate your findings.

Includes SQL, Python 3, NumPy, pandas, matplotlib, scikit-learn, and more.

Create free account

Make sure your password is at least 8 characters and contains:

  • At least 1 uppercase letter and 1 lowercase letter
  • At least 1 number
  • At least 1 special character (like @#%^)

Avoid common passwords or strings like “password”, “qwerty”, or “12345”.

By signing up, you agree to the Codecademy Terms of Service and Privacy Policy. This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Or sign up with

Have an account?
  • Skill level

  • Time to complete

    Approx. 125 hours
  • Certificate of completion

  • Prerequisites


About this career path

Companies are looking for data analysts to drive informative decision making, and this Career Path will teach you the skills you need to become just that. You’ll learn how to clean and analyze data and communicate your findings. Along the way, you’ll build portfolio-worthy projects that will help you get job-ready.


17 units • 67 lessons • 54 projects • 40 quizzes
  • 1

    Welcome to the Data Analyst Career Path

    Start off with an overview of what you’ll cover in the Data Scientist Career Path, projects you’ll build, and resources you’ll benefit from.

  • 2

    Getting Started with Data Analytics

    Start with a quick introduction to Data Analytics: what it is, how it works, and how it drives data-driven decision making.

  • 3

    Python Fundamentals

    Learn the fundamentals of Python from syntax to modules.

  • 4

    Python Portfolio Project

    Use your understanding of Python syntax to sort and analyze data about U.S. medical insurance costs!

  • 5

    Data Acquisition

    Learn about various methods of acquiring data.

  • 6

    Data Manipulation with Pandas

    Gain an overview of data manipulation and data analysis with pandas, and introduce Python lambda functions.

  • 7

    Data Wrangling and Tidying

    Most data scientists spend the bulk of their time preprocessing data. Learn how to do it right.

The platform

Hands-on learning

Animated GIF of an AI learning assistant explaining an error 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

Projects in this career path

  • Project

    Python Syntax: Medical Insurance Project

    Use Python to calculate medical insurance rate costs!
  • Project

    Python Functions: Medical Insurance Project

    In this project, you will write a Python function that estimates medical insurance costs.
  • Project

    Python Control Flow: Medical Insurance Project

    Use Python control flow to provide advice on how individuals can lower their medical insurance costs.
  • 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.
    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.
    Codecademy Learner @ UK
  • Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.
    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
How it works

Start your new career faster

  1. Learn the skills

    This expertly curated career path gives you all the knowledge and experience you need to start this career.
  2. Prep for interviews

    Assess if you're ready to apply for jobs, then build your confidence with code challenges and practice questions.
  3. Get hired

    Showcase your skills with a Codecademy professional certification and connect with employers directly.