Learn Python
Gain the career-building Python skills you need with DataCamp’s online training. Through hands-on learning you’ll discover how this versatile programming language is used by the world’s largest companies for everything from building web applications to data science and machine learning.
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If you’re new to Python make sure you start here—with our most popular track for beginners.
Start LearningCareer tracksA collection of curated courses that will help guide your learning. Career tracks cover all the skills you need to kickstart and advance your career in a particular role.
A collection of curated courses that will help guide your learning. Career tracks cover all the skills you need to kickstart and advance your career in a particular role.
Looking to launch your career in data science? Get on the right path with our Python career tracks. Created by industry experts to grow your programming skills at your own pace.
Data Scientist
From data manipulation to machine learning, you'll gain the career-building Python skills you need to succeed in the exciting field of data science!
88 hours23 courses
Machine Learning Scientist
A machine learning scientist researches new approaches and builds machine learning models.
93 hours23 courses
Data Engineer
Gain the in-demand data engineering skills businesses are looking for and learn how to efficiently ingest, manage, and warehouse data.
95 hours25 courses
Level up with skill tracksA collection of curated courses that will help guide your learning. Skill tracks are shorter than career tracks and help you master complementary skills.
A collection of curated courses that will help guide your learning. Skill tracks are shorter than career tracks and help you master complementary skills.
Take your Python skills to the next level. Skill tracks give you the targeted expertise in skills employers are looking for, including how to import and clean data, visualize data, and leverage machine learning.
Python Fundamentals
Grow your programmer skills. Discover how to manipulate dictionaries and DataFrames, visualize real-world data, and write your own Python functions.
15 hours4 courses
Statistics Fundamentals
Confidently learn to evaluate statistical models, simulate data, and draw conclusions from a wide variety of data sets.
19 hours5 courses
Data Visualization
Supercharge your data science skills using Python's most popular and robust data visualization libraries.
20 hours5 courses
What can you do in Python?
Python’s readability and versatility make it the ideal language to code for both beginners and experienced developers alike. Below are just a few ways you can get started using Python, with links to interactive courses for each of these topics.
CoursesShort expert videos with interactive exercises. Learn specific skills with these 3-4 hour trainings.
Short expert videos with interactive exercises. Learn specific skills with these 3-4 hour trainings.
Gain skills fast! Follow short videos led by expert instructors and then practice what you’ve learned with hands-on coding exercises right from your browser.
Introduction to Python
Master the basics of data analysis in Python. Expand your skillset by learning scientific computing with numpy.
4 Hours
Python Data Science Toolbox (Part 1)
Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.
3 Hours
pandas Foundations
Learn how to use the industry-standard pandas library to import, build, and manipulate DataFrames.
4 Hours
Introduction to Python for Finance
This course introduces Python for financial analysis.
4 Hours
Dimensionality Reduction in Python
Learn to reduce dimensionality in Python.
4 Hours
Image Processing in Python
Learn to process, transform, and manipulate images at your will.
4 Hours
Test your Python skills with DataCamp Signal™
Find out how your skills compare to your Python peers, identify areas of improvement, and receive personalized course recommendations. Take a 10-minute skill assessment today.
Who teaches Python on DataCamp?
Meet the experts behind the training. By joining DataCamp, you’ll unlock access to insights from the leading minds in technology, data science, business, and academia.
Learn with
Karolis Urbonas
Head of Machine Learning and Science. See full bio.
Learn with
Katharine Jarmul
Founder, kjamistan. See full bio.
Learn with
Allen Downey
Professor, Olin College. See full bio.
Projects
Go deeper and solve real-world challenges to build your Python portfolio.
Introduction to DataCamp Projects
If you've never done a DataCamp project, this is the place to start!
UnguidedData VisualizationCase Studies
Naïve Bees: Predict Species from Images
Build a model that can automatically detect honey bees and bumble bees in images.
UnguidedData ManipulationData VisualizationMachine Learning
Analyzing TV Data
Use data manipulation and visualization to explore one of two different television broadcast datasets: The Super Bowl and hit sitcom The Office!
UnguidedData ManipulationData VisualizationImporting & Cleaning Data
Tutorials
Get the inside track and brush up on the latest Python news, tutorials, and trending posts.
Python For Finance: Algorithmic Trading
This Python for Finance tutorial introduces you to algorithmic trading, and much more.
Pandas Tutorial: DataFrames in Python
Explore data analysis with Python. pandas DataFrames make manipulating your data easy, from selecting or replacing columns and indices to reshaping your data.
Joining DataFrames in Pandas
In this tutorial, you’ll learn various ways in which multiple DataFrames could be merged in python using Pandas library.
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