Interactive Course

Introduction to Python

Master the basics of data analysis in Python. Expand your skill set by learning scientific computing with numpy.

  • 4 hours
  • 11 Videos
  • 57 Exercises
  • 1,624,641 Participants
  • 4,700 XP

Loved by learners at thousands of top companies:


Course Description

Python is a general-purpose programming language that is becoming more and more popular for doing data science. Companies worldwide are using Python to harvest insights from their data and get a competitive edge. Unlike any other Python tutorial, this course focuses on Python specifically for data science. In our Intro to Python class, you will learn about powerful ways to store and manipulate data as well as cool data science tools to start your own analyses. Enter DataCamp’s online Python curriculum.

  1. 1

    Python Basics


    An introduction to the basic concepts of Python. Learn how to use Python interactively and through a script. Create your first variables and acquaint yourself with Python's basic data types.

  2. Python Lists

    Learn to store, access and manipulate data in lists: the first step towards efficiently working with huge amounts of data.

  3. Functions and Packages

    To leverage the code that brilliant Python developers have written, you'll learn about using functions, methods and packages. This will help you to reduce the amount of code you need to solve challenging problems!

  4. NumPy

    NumPy is a Python package to efficiently do data science. Learn to work with the NumPy array, a faster and more powerful alternative to the list, and take your first steps in data exploration.

What do other learners have to say?


“I've used other sites, but DataCamp's been the one that I've stuck with.”

Devon Edwards Joseph

Lloyd's Banking Group


“DataCamp is the top resource I recommend for learning data science.”

Louis Maiden

Harvard Business School


“DataCamp is by far my favorite website to learn from.”

Ronald Bowers

Decision Science Analytics @ USAA

Filip Schouwenaars
Filip Schouwenaars

Data Science Instructor at DataCamp

Filip is the passionate developer behind several of DataCamp's interactive courses, covering both R and Python. Under the motto 'Eat your own dog food', he has used the techniques DataCamp teaches its students to perform data analysis for DataCamp. Filip holds degrees in Electrical Engineering and Artificial Intelligence.

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Hugo Bowne-Anderson
Hugo Bowne-Anderson

Data Scientist at DataCamp

Hugo is a data scientist, educator, writer and podcaster and DataCamp. His main interests are promoting data & AI literacy, helping to spread data skills through organizations and society and doing amateur stand up comedy in NYC. If you want to know what he likes to talk about, definitely check out DataFramed, the DataCamp podcast, which he hosts and produces:

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