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Python courses

Python is a top language for data science, automation, and web development. DataCamp’s expert-built courses offer hands-on, interactive practice with real-world exercises. Start coding today and build skills to move your career forward.

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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

课程

Introduction to Python

基础技能水平
4.6+
136.8K
4 小时
Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.

学习路径

Python Data Fundamentals

74.2K
28 小时
Grow your data skills, discover how to manipulate and visualize data, and apply advanced analytics to make data-driven decisions.

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课程

Hypothesis Testing in Python

中级技能水平
4.5+
2.4K
4 小时
Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.

课程

Writing Functions in Python

中级技能水平
4.5+
2.3K
4 小时
Learn to use best practices to write maintainable, reusable, complex functions with good documentation.

课程

Data Types in Python

中级技能水平
4.5+
2.2K
4 小时
Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.

课程

Sampling in Python

中级技能水平
4.5+
2.2K
4 小时
Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.

课程

Introduction to Data Engineering

中级技能水平
4.5+
1.7K
4 小时
Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.

课程

Web Scraping in Python

中级技能水平
4.5+
1.7K
4 小时
Learn to retrieve and parse information from the internet using the Python library scrapy.

课程

Image Processing in Python

中级技能水平
4.5+
1.7K
4 小时
Learn to process, transform, and manipulate images at your will.

课程

Multi-Agent Systems with LangGraph

高级技能水平
4.6+
1.6K
3 小时
Build powerful multi-agent systems by applying emerging agentic design patterns in the LangGraph framework.

课程

Intermediate Python for Finance

中级技能水平
4.5+
1.5K
4 小时
Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.

课程

Linear Classifiers in Python

中级技能水平
4.5+
1.5K
4 小时
In this course you will learn the details of linear classifiers like logistic regression and SVM.

课程

Streamlined Data Ingestion with pandas

中级技能水平
4.6+
1.5K
4 小时
Learn to acquire data from common file formats and systems such as CSV files, spreadsheets, JSON, SQL databases, and APIs.

课程

Introduction to Testing in Python

高级技能水平
4.5+
1.4K
4 小时
Master Python testing: Learn methods, create checks, and ensure error-free code with pytest and unittest.

课程

Reshaping Data with pandas

中级技能水平
4.5+
1.4K
4 小时
Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.

课程

Regular Expressions in Python

基础技能水平
4.5+
1.3K
4 小时
Learn about string manipulation and become a master at using regular expressions.

课程

Time Series Analysis in Python

中级技能水平
4.4+
1.2K
4 小时
In this four-hour course, you’ll learn the basics of analyzing time series data in Python.

课程

Explainable AI in Python

中级技能水平
4.6+
1.2K
4 小时
Gain the essential skills using Scikit-learn, SHAP, and LIME to test and build transparent, trustworthy, and accountable AI systems.

Python 相关资源

博客

The 41 Top Python Interview Questions & Answers For 2026

Master 41 Python interview questions for 2026 with code examples. Covers basics, OOP, data science, AI/ML, and FAANG-style coding challenges.
Abid Ali Awan's photo

Abid Ali Awan

15分钟

博客

How to Learn Python From Scratch in 2026: An Expert Guide

Discover how to learn Python in 2026, its applications, and the demand for Python skills. Start your Python journey today ​​with our comprehensive guide.
Matt Crabtree's photo

Matt Crabtree

15分钟

速查表

Python Cheat Sheet for Beginners

Python is the most popular programming language in data science. Use this cheat sheet to jumpstart your Python learning journey.
Richie Cotton's photo

Richie Cotton

8分钟

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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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