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Learn Python with DataCamp

Python is one of the most popular programming languages in the world, used by companies like Intel, NASA, Netflix, Spotify, and IBM. It’s versatile, easy to read, and used for everything from web development to machine learning. 

Become one of the millions of people who understand and read Python and expand your career prospects today. You don’t need any prior coding experience and will benefit from a huge number of libraries and packages for applying Python to different data problems.

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Why Learn Python?

PYTHON IS POWERFUL, VERSATILE, AND IN HIGH DEMAND

You can use Python to build just about anything; that’s why YouTube, NASA, Spotify, and many more rely on Python every day.

Python is a key skill in a huge number of growing industries and lucrative careers, including data scientist, digital marketer, machine learning engineer, data analyst, and others.  

Data matters, and Python is the perfect tool to clean and handle large datasets and calculations quickly. You can harness the power of data and get the kind of insights that give businesses a competitive edge. 

Python’s simple and intuitive syntax won’t take years to learn either - meaning you can kickstart your new career or project. 

It’s also easy and fun to learn Python, especially with DataCamp.

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Learn Python for Data Science

LEARN UP TO 10X FASTER THAN AT UNIVERSITY

Learn Python for data science, programming, digital marketing, and more with DataCamp.

Our Python courses and career tracks are structured so you can learn an in-demand skill at your own pace with some of the world's leading Python and data science experts by your side. You can master Python in record time, or take your time and work through the courses gradually. 

DataCamp has Python courses and learning pathways for everyone. Whether you are a complete beginner or already have some skills, the best way to learn Python (and have fun in the process) is with DataCamp.

Join nine million learners and companies like Google, Uber, and PayPal at DataCamp.

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Don’t just take our word for it.

Python Skill and Career Tracks

Ready to start your Python journey? In this track, you’ll learn the basics including how to clean data so it's ready for analysis, get started with data visualization libraries, and start writing your own Python functions.

1

Introduction to Python

About this course

Your Python data analysis mastery journey begins here. Grow your scientific computing knowledge with NumPy.

4 hours

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2

Intermediate Python

About this course

Get to know new data structures in Python. Learn how to use DataFrame and Matplotlib's functions.

3

Python Data Science Toolbox (Part 1)

About this course

Write your own functions in Python. Grow your knowledge about concepts like scoping and error handling.

4

Python Data Science Toolbox (Part 2)

About this course

Continue your journey into functions in Python. Learn all about iterators and list comprehensions.

Python Fundamentals Skills Track

Gain your Python career programming skills here where you cover the fundamentals of software development in python, data wrangling, and advanced data analysis with Python.

1

Introduction to Data Science in Python

About this course

Begin your journey into data science with Python. Learn to analyze and visualize your data.

2

Data Types for Data Science in Python

About this course

Get to know different data types. Leverage Python to solve your data problems.

3

Data Manipulation with pandas

About this course

Grow your Python skills by exploring Pandas. Learn to manipulate data and calculate summary statistics.

4

Python Data Science Toolbox (Part 1)

About this course

Write your own functions in Python. Grow your knowledge about concepts like scoping and error handling.

5

Python Data Science Toolbox (Part 2)

About this course

Continue your journey into functions in Python. Learn all about iterators and list comprehensions.

6

Writing Efficient Python Code

About this course

Write more more effective and efficient code using Python's in-built features.

7

Working with Dates and Times in Python

About this course

Continue your Python data analysis journey. Discover how to work with dates and times in your data.

8

Regular Expressions in Python

About this course

Work with movie reviews datasets and become an expert in using regular expressions.

9

Web Scraping in Python

About this course

Retrieve and parse information from the internet. Discover the Python library scrapy.

10

Writing Functions in Python

About this course

Expand you your journey into functions in Python. Write maintainable, reusable, and complex functions.

11

Introduction to Shell

About this course

Automate repetitive tasks and run programs on clusters and clouds with Unix.

12

Software Engineering for Data Scientists in Python

About this course

Solve your data science problems. Discover modularity, documentation, and automated testing.

13

Developing Python Packages

About this course

Create your own Python package. Use setuptools and twine to publish your packages to PyPI.

14

Unit Testing for Data Science in Python

About this course

Start your journey into unit testing. Write your own write unit tests in Python.

15

Object-Oriented Programming in Python

About this course

Create classes in Python. Leverage principles to reuse and optimize code.

Python Programmer Skill Track

This collection of courses will take you from zero to hero providing you with the Python skills needed for your new career as a data scientist. Learn skills such as importing, cleaning, manipulation, and visualizing data. Everything you need to become a data professional.

1

Introduction to Python

About this course

Your Python data analysis mastery journey begins here. Grow your scientific computing knowledge with NumPy.

2

Intermediate Python

About this course

Get to know new data structures in Python. Learn how to use DataFrame and Matplotlib's functions.

3

Investigating Netflix Movies and Guest Stars in The Office

About this course

Build your data science portfolio. Use everything you have learned in Python to visualize Netflix data.

4

Data Manipulation with pandas

About this course

Grow your Python skills by exploring Pandas. Learn to manipulate data and calculate summary statistics.

5

The Android App Market on Google Play

About this course

Use Python to load, clean, and scrape data. Practice using Google Play Store data to visualize market insights.

6

Joining Data with pandas

About this course

Learn to handle multiple DataFrames with Fandas. Combine, organize, join, and reshape data from the City Of Chicago.

7

The GitHub History of the Scala Language

About this course

Get to know the history of Scala projects. Learn how to identify who made changes and what changes they made.

8

Introduction to Data Visualization with Matplotlib

About this course

Your Matplotlib journey begins here. Learn how to visualize data from a variety of sources.

9

Introduction to Data Visualization with Seaborn

About this course

Your journey into Seaborn starts here. Learn how to create and customize visualizations in Python.

10

Python Data Science Toolbox (Part 1)

About this course

Write your own functions in Python. Grow your knowledge about concepts like scoping and error handling.

11

Python Data Science Toolbox (Part 2)

About this course

Continue your journey into functions in Python. Learn all about iterators and list comprehensions.

12

Intermediate Data Visualization with Seaborn

About this course

Continue your Seaborn journey. Learn to customize your plots to your data sets to create meaningful visualizations.

13

A Visual History of Nobel Prize Winners

About this course

Use Kaggle to examine a dataset of previous Nobel Prize Nominees. Learn how to visualize historical datasets.

14

Introduction to Importing Data in Python

About this course

Start your journey into data importing in Python. Learn to import from Excel, SQL, SAS, and the web.

15

Intermediate Importing Data in Python

About this course

Develop your ability to import data in Python. Work with web and API data in Python.

16

Cleaning Data in Python

About this course

Get the most out of your analysis by cleaning your data. Understand how to handle missing data or improper data types.

17

Working with Dates and Times in Python

About this course

Continue your Python data analysis journey. Discover how to work with dates and times in your data.

18

Writing Functions in Python

About this course

Expand you your journey into functions in Python. Write maintainable, reusable, and complex functions.

19

Exploratory Data Analysis in Python

About this course

Grow your data analysis skills. Use regression models to make predictions in Python.

20

Analyzing Police Activity with pandas

About this course

Work with Pandas to import, clean, shape, and visualize data from the Stanford Open Policing Project.

21

Statistical Thinking in Python (Part 1)

About this course

Start thinking statistically in Python. Learn to better understand your data and its features.

22

Statistical Thinking in Python (Part 2)

About this course

Your path to statistical thinking continues here. Learn how to perform parameter estimation and hypothesis testing.

23

Dr. Semmelweis and the Discovery of Handwashing

About this course

Practice your data analysis skills while using historical data to understand the effect of handwashing.

24

Supervised Learning with scikit-learn

About this course

Build and tune predictive models. Discover supervised learning in Python.

25

Predicting Credit Card Approvals

About this course

Practice predicting outcomes using credit card applications. Build and test your own machine learning model.

26

Unsupervised Learning in Python

About this course

Continue your journey in using Python for analysis. Extract insights from unlabeled datasets using scikit-learn and scipy.

27

Machine Learning with Tree-Based Models in Python

About this course

Discover machine learning with Python. Create your own train decision trees and models with scikit-learn.

28

Case Study: School Budgeting with Machine Learning in Python

About this course

Practice machine learning in Python. Build a baseline model using school budget data.

29

Cluster Analysis in Python

About this course

Start your journey into unsupervised learning with the SciPy library. Use various clustering algorithms on your data.

Data Scientist with Python Career Track

Get Started

If you're new to Python, make sure you start here with our most popular track for beginners.

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DataCamp Certification

Can I Get a Python Certification?

Taking your first Python course is just the beginning of a journey towards understanding and using Python in your professional life. If you’re serious about launching a career with Python or changing your career path, you can take one of our Tracks, which are designed to provide in-depth learning and ensure that you’re ready to apply your Python skills in the world of work. 

Once you feel ready, demonstrate your Python skills in our assessments that build towards professional certification as a data scientist or a data analyst. These certifications are based on an in-depth analysis of the skills required within today’s jobs market and are purposefully designed to test and demonstrate that you’re ready for a demanding job in the industry. 

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DataCamp Tutorial

A Practical Python Learning Method with Tutorials, Assessments and Projects

DataCamp's interactive and hands-on learning method features engaging tutorials, bite-sized challenges, and practical projects. After you choose a course, you'll find a collection of well-categorized topics and subtopics. You can decide where to start based on your interests or follow our recommendation.

In each learning session, an instructor explains a concept and the code snippet you'll be using. Next, you'll put this code through its paces in DataCamp's dedicated coding platform.

Learn coding and data science with Python in a fun way and you'll never get bored. All you need is an internet connection, a browser, and a thirst for knowledge.

Python Tutorials
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All the Python Resources You Need

DataCamp is home to a huge collection of Python resources to support you on your learning path and throughout your career. These include: 

  • Python guides and cheat sheets
  • Python Assessments in DataCamp Signal™ so you know how well you’re progressing
  • A range of templates to give you a head start on your Python projects
  • Practice sessions to reinforce your learning
  • Projects where you’ll use Python to solve real-world problems 
  • Coding and data analysis competitions with cash prizes
  • Webinars and live training sessions
  • Python templates and Workspaces 

So whether you’re mastering the basics of importing data or wrapping your head around advanced NLP tasks in Python, we’ve got what you need to make learning simple.

Python Cheat Sheets

Test Your Python Skills with DataCamp Signal

Benchmark your skills against your Python peers. Determine your Python strengths and weaknesses, whilst receiving personalized python learning recommendations. Take a 10-minute skill assessment today.

PythonImporting & Cleaning Data with Python
RPython Programming
TheoryData Manipulation with Python
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CERTIFICATION

Land a Job in Python

From a certification in Python to personalized resume reviews and interview prep - we've got you covered.

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Python certified Data Scientist

Your Python Instructors

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Karolis Urbonas

Karolis leads a Machine Learning and Science team at AWS.  See full Bio

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Learn Python FAQs

Why learn Python?

Python is easy to learn, versatile, and developers are always in demand.  Much of Python uses English words as commands, increasing its readability and interpretation. 

How can I start learning Python?

You can get started with an online Python course. Python is a great coding language to learn online with a myriad of resources at your fingertips. Websites like DataCamp offer courses and tutorials ranging from beginners level all the way up to people looking to become career data scientists.

How long does it take to learn Python?

A rudimentary working knowledge of Python can be learned in as little as a week, but it will take 12 to 48 months to become a proficient data scientist. The great thing about learning Python at DataCamp is that you can go at your own pace, easy-going or accelerated.  Want to learn at 10 times the rate that courses are scheduled at university? That’s absolutely possible.

How hard is Python to learn?

Python is one of the easiest coding languages to learn. Python is powerful, has easy-to-use syntax, and is a general coding language used in everything from web development to software prototypes. This makes the concepts easier to grasp, and thus it is a great choice for beginners looking to learn to code.

How can I learn Python quickly?

To learn Python quickly, you will have to practice. You can start coding almost as soon as you’ve learned the basics of Python, and the best way to advance is to just keep going. Learn a Python library or two, schedule a time every day to code, and stick to it. You have to invest the time: if you plan to be a Python master in three months, you must be prepared for hours of deep, immersive training. The great thing about learning online is you can go at your own pace and, if that pace is lightspeed, online is the best option.

How long will it take to learn enough Python to get a job?

It depends on what job you are looking to get. Python is a versatile coding language and can be used in everything from organization in retail to data analysis by data scientists. To improve efficiency or organization, simple python can be learned in three weeks. However, if you wish to get a job as a data scientist or an equivalent level, DataCamp has 6-9 month courses that will kickstart your employment goals.

Where can I learn Python for free?

You can start learning Python for free with DataCamp, as our 6 most popular beginner courses are free of charge.  After that?  DataCamp has one of the most affordable subscription models, and this small fee ensures you receive quality training that will leave you work-ready.

Why is Python easy to learn?

Python is considered one of the easiest coding languages to learn because it prioritizes readability. Much of Python's syntax is similar to the English language and is thus easy to pick up - making it a favorite with novice coders.

Why should I learn Python first?

Python is the fastest-growing coding language with massive versatility and high job demand. Its simple to master syntax is a great introduction to coding and data science.  Python is used in many industries and will open many doors for you, both in the tech world and out. DataCamp has plenty of Python beginner courses to get you started.

Can I learn Python on my own?

Python can be learned quite easily on your own. DataCamp has countless courses, tutorials, projects, cheatsheets, and assessment tasks at all levels to help you answer any question you might have.

What is the best way to learn Python?

The best way to learn Python is online. Online courses like the ones at DataCamp allow freedom, flexibility, and a range of levels that you can access at your own pace. Whether you’re looking for a fun side hobby or a serious career change, online courses are a great way to really cement and advance your knowledge.

What should I learn after learning Python?

Learn the R programming language and other concepts of data science. Furthermore, if you want to become a data scientist, it is important to remember that there is much more to data science than just programming languages: you'll also need an in-depth understanding of statistics, matrices, algebra, and a little bit of calculus. 

What do I need to learn Python?

A computer and access to the internet are all you need to gain access to all the great resources DataCamp has to help you learn Python. Python is considered great for beginners because it is one of the easier coding languages to grasp. 

What can Python be used for?

Python is a high-level, general use programming language that can be applied to many different scenarios. Python comes with a large library that includes string processing, internet protocols, software engineering, and operating system interfaces which allows for a lot of flexibility in its use. Because of this, Python is used in everyday scenarios from organization and planning at a basic level, to the advanced Python used by data scientists and web developers.

Ready to Learn Python?

Join over 9 million learners and go further, faster, with DataCamp.

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