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Python Courses

Python is a popular programming language that can help you with everything from process automation through to data visualization. A huge 69% of machine learning developers and data scientists now use it.

If you want to join them by learning Python from scratch or improving your existing skills, take a look at the Python courses below. 

  • Learn at your own pace
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  • Choose from 148 Python courses

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LOVED BY LEARNERS AT THOUSANDS OF COMPANIES

Python Courses for Beginners

If you're completely new to Python, Introduction to Python or Introduction to Data Science in Python are the perfect fit to give you a broad introduction. You'll get started with the basics and how Python applies to data science, before moving on to essential techniques and tools for importing, cleaning, manipulating, and visualizing data. This will give you a solid basis for further studies.

Consider the following selection of Python courses for beginners:

Python

Introduction to Python

Learn how Python can help you on your data science journey. Explore ways to store and manipulate data, and start drawing valuable insights.

Clock4 hours
Hugo Bowne-Anderson Headshot

Hugo Bowne-Anderson

Course Instructor

Python

Introduction to Data Science in Python

Begin your journey with data analysis with this code-free introduction to Python where you can learn how to effectively analyze and visualize your data.

Clock4 hours
Hillary Green-Lerman Headshot

Hillary Green-Lerman

Lead Data Scientist, Looker

Python

Introduction to Importing Data in Python

Importing data is where it all begins. In this course, explore the many ways Python can help you source and import data for analysis. 

Clock3 hours

Hugo Bowne-Anderson

Data Scientist at DataCamp

Python

Cleaning Data in Python

Develop the skills you need to clean dirty data so you can get the important insights you need. 

Clock4 hours
Adel Nehme Headshot

Adel Nehme

Content Developer @ DataCamp

Python

Joining Data with pandas

Do more with your data by learning how to combine datasets with the help of pandas. 

Clock4 hours
Aaren Stubberfield Headshot

Aaren Stubberfield

Manager, Supply Chain Analytics @ Ingredion Incorporated

Exploratory Data Analysis in Python

Do more with your data in this exploratory data analysis course where you'll learn how to explore, visualize, and extract insights from data.

Clock4 hours
Allen Downey Headshot

Allen Downey

Professor, Olin College

Python

Dealing with Missing Data in Python

Explore the ins and outs of Python while you learn how to identify, analyze, remove, and impute missing data.

Clock4 hours
Suraj Donthi Headshot

Suraj Donthi

Deep Learning & Computer Vision Consultant

Python

Working with Dates and Times in Python

Dive into working with time and date data in Python and learn how to navigate these with ease.

Clock4 hours
Max Shron Headshot

Max Shron

Data Scientist and Author

Python

Data Manipulation with pandas

Tap into pandas, the world's most popular Python library, to learn how to manipulate data and calculate statistics using compelling real-world data. 

Clock4 hours
Richie Cotton Headshot

Richie Cotton

Curriculum Architect at DataCamp

Python

Introduction to Data Visualization with Matplotlib

Tap into the power of Matplotlib and learn how to create, customize, and visualize your data. 

Clock4 hours
Ariel Rokem Headshot

Ariel Rokem

Senior Data Scientist, University of Washington

Python Courses for Data Engineers

If you already have some fundamental knowledge of Python and SQL and want to take your skills to the next level, check out the courses in DataCamp's comprehensive career track, Data Engineer with Python. If you're simply looking to sharpen your knowledge of particular Python data engineering concepts, you can choose from our massive collection of intermediate and advanced Python courses below.  

Python

Introduction to Data Engineering

Get started in the world of data engineering with this introduction to relevant topics and important tools. 

Clock4 hours
Vincent Vankrunkelsven Headshot

Vincent Vankrunkelsven

Data and Software Engineer @DataCamp

Python

Building Data Engineering Pipelines in Python

In this course you'll learn how to build data engineering pipelines in Python to keep your models running efficiently and effectively.

Clock4 hours
Kai Zhang Headshot

Kai Zhang

Data Engineer at Data Minded

Python

ETL in Python

Tap into your skills in Python and SQL to learn how to create time-saving, efficiency-creating pipelines to ingest, transform, and load data into your databases. 

Clock4 hours
Stefano Francavilla Headshot

Stefano Francavilla

Stefano is the CEO and co-founder of Geowox.

Python

Introduction to Airflow in Python

Improve your workflow by mastering the basics of Airflow and deliver high-quality analyses on time—without the headache of maintaining a manual schedule.

Clock4 hours
Mike Metzger Headshot

Mike Metzger

Data Engineer Consultant @ Flexible Creations

Python

Streamlined Data Ingestion with pandas

Gathering data is where effective data analysis begins. Learn how to acquire data from various sources using pandas.

Clock4 hours
Amany Mahfouz Headshot

Amany Mahfouz

Data scientist via spatial analytics and geography.

Python

Streaming Data with AWS Kinesis and Lambda

Leverage powerful streaming data with the help of AWS serverless technologies in this compelling simulation course. 

Clock4 hours
Maksim Pecherskiy Headshot

Maksim Pecherskiy

Data Engineer

Python

Unit Testing for Data Science in Python

Unit testing is a critical skill in the data industry. Learn how to write tests, interpret results, and address problematic code in pytest. 

Clock4 hours
Dibya Chakravorty Headshot

Dibya Chakravorty

Senior Python Developer, TECH-5

Python

Introduction to MongoDB in Python

Get a feel for MongoDB in Python with this introductory course and learn how to manipulate and analyze flexibly structured data. 

Clock4 hours
Donny Winston Headshot

Donny Winston

Computer Systems Engineer @ Lawrence Berkeley

Python

Introduction to AWS Boto in Python

Harness cloud technology and optimize your data workflow with the help of AWS Boto.

Clock4 hours
Maksim Pecherskiy Headshot

Maksim Pecherskiy

Data Engineer

The Best Courses for Learning Python

The best Python courses are relevant to your needs, offer easy ways to learn, and give you the opportunity to put your new skills to practice at regular intervals. As the most popular programming language in data science, it comes with a wide variety of applications, libraries, and add ons — so if you want to master it, you need to understand its full potential. 

DataCamp's Python courses do all of that, and more. Our introductory courses are suitable for people with absolutely no coding experience, while the full portfolio offers options across a wide range of data-related topics and tools, with exhaustive explanations of each concept and its real-world applications. Most importantly, you get plenty of opportunities to practice your skills using challenges and datasets to build your confidence and portfolio. 

Python Courses for Data Analysts

Learn how to analyze data with Python. The language's flexibility and wide range of libraries make it incredibly valuable for analytics and complex calculations, while the Python Data Analysis Library (also known as Pandas) is tailor-made for data analysis. 

If you're new to the subject and want to move into a career in data analysis, you can get started with DataCamp's Data Analyst with Python career track. If you're already a practitioner but just want to hone your skills, pick and choose from our vast catalog of intermediate and advanced Python data analysis courses.   

Python

Introduction to NumPy

Tap into arrays with the help of NumPy to become a master data wrangler. By the end of the course, you'll be coding faster than ever and creating impressive 3D arrays.

Clock4 hours
Izzy Weber Headshot

Izzy Weber

Curriculum Manager, DataCamp

Python

Data Types for Data Science in Python

Get familiar with the different data types you'll come across and use while working with Python, then learn how to leverage them to answer your data science questions. 

Clock4 hours

Jason Myers

Co-Author of Essential SQLAlchemy and Software Engineer

Python

Intermediate Python

Bring your existing data science skills to a new level with the help of Matplotlib and pandas.

Clock4 hours

Hugo Bowne-Anderson

Data Scientist at DataCamp

Python

Intermediate Importing Data in Python

Bring your data importing skills to the next level with this intermediate course where you'll learn how to work with web and API data in Python.

Clock2 hours

Hugo Bowne-Anderson

Data Scientist at DataCamp

Git

Regular Expressions in Python

Hone your skills in string manipulation and master regular expressions in Python. 

Clock4 hours
Maria Eugenia Inzaugarat Headshot

Maria Eugenia Inzaugarat

Data Scientist

Python

Time Series Analysis in Python

Discover the fundamentals of analyzing time series data. In this course, you'll learn exactly what time series data is and how to use some common time series models. 

Clock4 hours
Rob Reider Headshot

Rob Reider

Consultant @ Quantopian

Python

Visualizing Time Series Data in Python

Get more out of your data by learning how to visualize patterns, trends, and seasonality with Python.

Clock4 hours
Thomas Vincent Headshot

Thomas Vincent

Head of Data Science at Getty Images

Python

Writing Efficient Code with pandas

Optimize your Python code and keep it streamlined and efficient with the help of pandas.

Clock4 hours
Leonidas Souliotis Headshot

Leonidas Souliotis

PhD @ University of Warwick

Python

Working with Categorical Data in Python

Advance your data science skills and learn how seaborn and pandas can help you manipulate and visualize categorical data.

Clock4 hours
Kasey Jones Headshot

Kasey Jones

Research Data Scientist

Python

Streamlined Data Ingestion with pandas

Gathering data is where effective data analysis begins. Learn how to acquire data from various sources using pandas.

Clock4 hours
Amany Mahfouz Headshot

Amany Mahfouz

Data Scientist

Python Courses for Data Scientists

Learn how to apply Python to data science programming and challenges. Python is one of the most in-demand and versatile skills within data, so adding this to your skillset will open up a variety of career opportunities. 

DataCamp offers the full range of Python courses you'll need as a budding data scientist from Introduction to Data Science in Python to advanced subjects like Advanced Deep Learning with Keras or Ensemble Methods with Python.

You can also check out the Data Scientist with Python career track, which will help you to develop all the necessary skills to land a job as an entry-level data scientist.

Python

Python Data Science Toolbox (Part 1)

Stand apart from other Data Scientists by learning to write your own functions in Python for more accurate and compelling analyses. 

Clock3 hours

Hugo Bowne-Anderson

Data Scientist at DataCamp

Python

Data Types for Data Science in Python

Get familiar with the different data types you'll come across and use while working with Python, then learn how to leverage them to answer your data science questions. 

Clock4 hours
Jason Myers Headshot

Jason Myers

Co-Author of Essential SQLAlchemy and Software Engineer

Python

Working with Categorical Data in Python

Advance your data science skills and learn how seaborn and pandas can help you manipulate and visualize categorical data.

Clock4 hours
Kasey Jones Headshot

Kasey Jones

Research Data Scientist

Python

Regular Expressions in Python

Hone your skills in string manipulation and master regular expressions in Python. 

Clock4 hours
Maria Eugenia Inzaugarat Headshot

Maria Eugenia Inzaugarat

Data Scientist

Python

Time Series Analysis in Python

Discover the fundamentals of analyzing time series data. In this course, you'll learn exactly what time series data is and how to use some common time series models. 

Clock4 hours
Rob Reider Headshot

Rob Reider

Adjunct Professor at NYU

Python

Data Manipulation with pandas

Tap into pandas, the world's most popular Python library, to learn how to manipulate data and calculate statistics using compelling real-world data. 

Clock4 hours
Richie Cotton Headshot

Richie Cotton

Curriculum Architect at DataCamp

Python

Introduction to Data Visualization with Matplotlib

Tap into the power of Matplotlib and learn how to create, customize, and visualize your data. 

Clock4 hours
Ariel Rokem Headshot

Ariel Rokem

Senior Data Scientist, University of Washington

Python

Interactive Data Visualization with Bokeh

Move beyond basic static plots and embrace Bokeh and interactive data visualizations! Learn how to create and connect widgets and customize an array of plots.

Clock4 hours
George Boorman Headshot

George Boorman

Core Curriculum Manager, DataCamp

Python

Supervised Learning with scikit-learn

Effective predictive models are key to assessing real-world performance. Learn how to build and tune models for the best results with scikit learn.

Clock4 hours

Hugo Bowne-Anderson

Data Scientist at DataCamp

Python

Unsupervised Learning in Python

Learn how to harness the powers of scikit-learn and scipy to cluster, transform, visualize, and interpret important insights from unlabeled datasets.

Clock4 hours
Benjamin Wilson Headshot

Benjamin Wilson

Director of Research at lateral.io

FAQ

What is the best online Python course?

The short answer: DataCamp's Introduction to Python. This free, immersive course covers a wide range of relevant subjects and tools and provides both clearly explained theoretical concepts and practical exercises based on real-world data. What's more, at DataCamp you can continue your Python learning path adapted to your specific purposes by choosing from a plethora of global career tracks, narrow-focus skill tracks, and independent courses.

Are Datacamp Python courses free?

DataCamp offers some free courses and the opportunity to check out the first chapter of any course free of charge. However, the basic free plan is rather limited. To unlock the full potential of DataCamp, consider buying our Premium plan that offers much more. 

How long does it take to finish a Python course?

A convenient feature of any DataCamp course or track is that you can immediately see the average time required to complete each one (most Python courses are 4 hours). Keep in mind that this is only the estimated time it takes to go through course exercises and videos. Once you add in the pausing and reviewing you'll likely need, it will probably take you a few days to work through a course, and another week or so of practice to memorize the commands and syntax you learned.  

Which Python course should I start with?

If you are a total beginner and don't know where to start, start with the most basic introductory DataCamp courses, for example:

This will give you a taste of using Python for data-related tasks and help you make up your mind on which learning path to take further. 

Which Python courses are best for machine learning?

If you're asking this question, chances are you are seeking general-purpose Python courses for machine learning. Consider the following selection of courses, which are more foundational in nature:

Which Python courses are best for finance?

The most popular DataCamp Python courses for finance are:

If you'd like a more holistic approach to exploring how Python can be helpful in finance, consider our skill tracks Finance Fundamentals in Python and Applied Finance in Python.

Which Python courses are best for digital marketing?