Skip to main content
HomePythonData Analyst
career track
Certification available

Data Analyst with Python

Start your journey to becoming a data analyst using Python - one of the most popular programming languages in the world. No prior coding experience is required; you’ll start from scratch and learn how to import, clean, manipulate, and visualize data—all integral skills for any aspiring data professional or researcher.  You’ll begin your data analyst training with interactive exercises and get hands-on with some of the most popular Python libraries, including pandas, NumPy, Seaborn, and many more. You’ll learn why Python for data analysis is so popular and work with real-world datasets to grow your data manipulation and exploratory data analysis skills.  As you progress through the courses, you’ll cover topics such as data manipulation and joining data. You’ll also learn key statistics skills, like hypothesis testing.  Get started today, grow your Python skills, and begin your journey to becoming a confident data analyst.

PythonClock36hrsLearn9 coursesApply5 projectsTrophyStatement of Accomplishment

Create Your Free Account

GoogleLinkedInFacebook

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.

Loved by learners at thousands of companies


1
Python
Introduction to Python

Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.

4 hours

Hugo Bowne-Anderson Headshot

Hugo Bowne-Anderson

Data Scientist

Certification available

Prepare for certification by completing this track, or target the lessons you need with a personal learning plan.

Learn More

Instructors

  • Hugo Bowne-Anderson Headshot
    Hugo Bowne-AndersonData ScientistSee Hugo Bowne-Anderson's Portfolio
  • Jasmin Ludolf Headshot
  • Maggie Matsui Headshot
  • Richie Cotton Headshot

FAQs

Join over 13,450,000 learners and start Data Analyst with Python today!

Create Your Free Account

GoogleLinkedInFacebook

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.