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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

Python 入门

基础技能水平
4.8+
8,874 条评价
4小时
用 Python 在四小时内掌握数据分析基础。 本在线课程将介绍 Python 接口并探索常用包。

学习路径

Python 数据基础

4.7+
95 条评价
28小时
提升你的数据技能，学习如何处理和可视化数据，并应用高级分析做出数据驱动的决策。

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浏览 Python 课程和学习路径

课程

Building AI Agents with CrewAI

中级技能水平
4.8+
81 条评价
1小时
Build AI teams that work together, automate workflows, and generate content with CrewAI.

课程

Multi-Modal Models with Hugging Face

中级技能水平
4.8+
153 条评价
4小时
Combine text, images, audio, and video with the latest AI models from Hugging Face, and generate new images and videos!

课程

Case Study: Building Software in Python

高级技能水平
4.7+
273 条评价
3小时
Build real-world applications with Python—practice using OOP and software engineering principles to write clean and maintainable code.

课程

GARCH Models in Python

中级技能水平
4.8+
185 条评价
4小时
Learn about GARCH Models, how to implement them and calibrate them on financial data from stocks to foreign exchange.

课程

Introduction to Amazon Bedrock

中级技能水平
4.7+
125 条评价
3小时
Learn to use Amazon Bedrock to access foundation AI models and build with AI - without managing complex infrastructure.

课程

Introduction to Linear Modeling in Python

中级技能水平
4.7+
213 条评价
4小时
Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.

课程

Data Transformation with Polars

中级技能水平
4.9+
37 条评价
4小时
Take Polars further with text manipulation, rolling statistics, DataFrame joins, and advanced analytics.

课程

Analyzing Financial Statements in Python

中级技能水平
4.7+
111 条评价
4小时
Learn to analyze financial statements using Python. Compute ratios, assess financial health, handle missing values, and present your analysis.

课程

Building Chatbots in Python

中级技能水平
4.7+
145 条评价
4小时
Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.

课程

Machine Learning for Marketing in Python

中级技能水平
4.8+
168 条评价
4小时
From customer lifetime value, predicting churn to segmentation - learn and implement Machine Learning use cases for Marketing in Python.

课程

Analyzing IoT Data in Python

中级技能水平
4.8+
102 条评价
4小时
Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.

课程

Analyzing Social Media Data in Python

中级技能水平
4.8+
32 条评价
4小时
In this course, youll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.

课程

Python for R Users

中级技能水平
4.7+
78 条评价
5小时
This course is for R users who want to get up to speed with Python!

课程

Generalized Linear Models in Python

高级技能水平
4.7+
143 条评价
5小时
Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.

课程

End-to-End RAG with Weaviate

中级技能水平
4.6+
16 条评价
2小时
Master RAG with Weaviate! Embed text and images for retrieval, and experiment with vector, BM25, and hybrid search.

课程

Efficient AI Model Training with PyTorch

高级技能水平
4.9+
95 条评价
4小时
Learn how to reduce training times for large language models with Accelerator and Trainer for distributed training

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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