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Python is a high-level, interpreted programming language known for its emphasis on readability and simplicity.
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Recommended for Python beginners

Build your Python skills with interactive courses for data science, data analysis and machine learning, curated by real-world experts

course

Introduction to Python

BeginnerSkill Level
4 hours
30.7K
Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.

track

Python Data Fundamentals

30 hours
1.7K
Grow your data skills, discover how to manipulate and visualize data, and apply advanced analytics to make data-driven decisions.

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Browse Python courses and tracks

197 results

course

Introduction to Python

BeginnerSkill Level
4 hours
30.7K
Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.

course

Intermediate Python

BeginnerSkill Level
4 hours
17.5K
Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.

course

Data Manipulation with pandas

BeginnerSkill Level
4 hours
11.5K
Learn how to import and clean data, calculate statistics, and create visualizations with pandas.

course

Supervised Learning with scikit-learn

IntermediateSkill Level
4 hours
6K
Grow your machine learning skills with scikit-learn in Python. Use real-world datasets in this interactive course and learn how to make powerful predictions!

course

Introduction to Statistics in Python

IntermediateSkill Level
4 hours
6.2K
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.

course

Joining Data with pandas

IntermediateSkill Level
4 hours
6.3K
Learn to combine data from multiple tables by joining data together using pandas.

course

Exploratory Data Analysis in Python

IntermediateSkill Level
4 hours
5.5K
Learn how to explore, visualize, and extract insights from data using exploratory data analysis (EDA) in Python.

course

Introduction to Functions in Python

BeginnerSkill Level
3 hours
4.4K
Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.

course

Cleaning Data in Python

IntermediateSkill Level
4 hours
3.7K
Learn to diagnose and treat dirty data and develop the skills needed to transform your raw data into accurate insights!

course

Intermediate Python for Developers

BeginnerSkill Level
2 hours
4.2K
Dive into the Python ecosystem, discovering modules and packages along with how to write custom functions!

course

Python Toolbox

BeginnerSkill Level
4 hours
4.3K
Continue to build your modern Data Science skills by learning about iterators and list comprehensions.

course

Unsupervised Learning in Python

IntermediateSkill Level
4 hours
3.6K
Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.

course

Introduction to Data Science in Python

BeginnerSkill Level
4 hours
2.3K
Dive into data science using Python and learn how to effectively analyze and visualize your data. No coding experience or skills needed.

course

Introduction to Testing in Python

AdvancedSkill Level
4 hours
717
Master Python testing: Learn methods, create checks, and ensure error-free code with pytest and unittest.

course

Writing Efficient Python Code

IntermediateSkill Level
4 hours
1.5K
Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.

course

Writing Functions in Python

IntermediateSkill Level
4 hours
2.1K
Learn to use best practices to write maintainable, reusable, complex functions with good documentation.

course

Hypothesis Testing in Python

IntermediateSkill Level
4 hours
2.6K
Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.

course

Introduction to Python for Finance

BeginnerSkill Level
4 hours
1.4K
Build Python skills to elevate your finance career. Learn how to work with lists, arrays and data visualizations to master financial analyses.

course

Sampling in Python

IntermediateSkill Level
4 hours
2.7K
Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.

course

ETL and ELT in Python

IntermediateSkill Level
4 hours
1.2K
Learn to build effective, performant, and reliable data pipelines using Extract, Transform, and Load principles.

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The 36 Top Python Interview Questions & Answers For 2025

Essential Python interview questions with examples for job seekers, final-year students, and data professionals.
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Abid Ali Awan

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How to Learn Python From Scratch in 2025: An Expert Guide

Discover how to learn Python in 2025, its applications, and the demand for Python skills. Start your Python journey today ​​with our comprehensive guide.
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Matt Crabtree

19 min

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Python Cheat Sheet for Beginners

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Richie Cotton

8 min

Ready to apply your skills?

Projects allow you to apply your knowledge to a wide range of datasets
to solve real-world problems in your browser

project

NYC Airbnb Data Analysis

0.75 hours
5.4K
Apply data importing and cleaning skills to extract insights about the New York City Airbnb market.

project

Analyzing Crime in Los Angeles

0.75 hours
18.7K
Find out when and where crime is most likely to occur, along with the types of crimes commonly committed in LA.
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Frequently asked questions

What is Python and why is it important in data science and AI?

Python is a widely-used, high-level programming language known for its readability, simplicity, and extensive libraries. It is important because of its versatility in various fields like web development, automation, data analysis, and artificial intelligence, making it a fundamental skill for many technological and scientific applications. This broad applicability has made Python one of the most popular programming languages in the world.

Do I need any prior programming experience to start learning Python?

No, you don't need previous programming experience. Our courses are designed to be beginner-friendly, guiding you step by step.

How can learning Python benefit my career?

Learning Python opens doors across multiple industries due to its high demand, offering broad career opportunities in technology, data science, finance, healthcare, academia, and marketing. Its versatility in data handling and analysis is particularly valued for driving data-driven decisions and innovation. Mastering Python can significantly enhance your professional skillset, making you a valuable asset in numerous fields.

What are some career paths that Python enables?

Python opens the door to a variety of career paths, serving as a catalyst for roles such as data scientist, data analyst, machine learning engineer, software developer, and web developer. Its widespread application in diverse fields like finance, healthcare, technology, and research means that proficiency in Python can significantly advance career prospects in these and many other industries.

What is the best way to learn Python?

The most effective way to learn Python is through a practical, hands-on approach. Interactive courses led by industry experts provide structured learning and real-world problem-solving, while building your own projects allows you to apply and solidify your skills, helping you to excel faster in Python programming. Read our full guide on how to learn Python for more guidance.

What’s the difference between Python and R?

Python is a versatile and user-friendly language ideal for general programming and data science, whereas R is more specialized for statistical analysis, complex data manipulation, and data visualization. Check out our Python vs R article for a more detailed comparison.

Are the Python courses updated with the latest industry trends and technologies?

Yes, we regularly update our courses to reflect the latest trends and technologies in the field.

Does DataCamp offer a Python Certification?

DataCamp offers professional certifications for Data Scientists and Data Analysts. You can use Python in either of these certifications to prove your skills and build a strong portfolio.

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