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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 小时
148.1K
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

28 小时
75.9K
Grow your data skills, discover how to manipulate and visualize data, and apply advanced analytics to make data-driven decisions.

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浏览 Python 课程和学习路径

课程

Introduction to Python

基础技能水平
4 小时
148.1K
Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.

课程

Intermediate Python

基础技能水平
4 小时
33.9K
Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.

课程

Data Manipulation with pandas

基础技能水平
Over 3 hours
22.8K
Learn how to import and clean data, calculate statistics, and create visualizations with pandas.
AI Native

课程

Supervised Learning with scikit-learn

中级技能水平
4 小时
19.8K
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!

课程

Introduction to Statistics in Python

中级技能水平
4 小时
9.2K
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.

课程

Joining Data with pandas

中级技能水平
4 小时
8.7K
Learn to combine data from multiple tables by joining data together using pandas.

课程

Exploratory Data Analysis in Python

中级技能水平
4 小时
8.1K
Learn how to explore, visualize, and extract insights from data using exploratory data analysis (EDA) in Python.

课程

Intermediate Python for Developers

基础技能水平
2 小时
8K
Dive into the Python ecosystem, discovering modules and packages along with how to write custom functions!

课程

Introduction to Functions in Python

基础技能水平
3 小时
6K
Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.

课程

Introduction to Data Science in Python

基础技能水平
4 小时
5.3K
Dive into data science using Python and learn how to effectively analyze and visualize your data. No coding experience or skills needed.

课程

Cleaning Data in Python

中级技能水平
4 小时
5.1K
Learn to diagnose and treat dirty data and develop the skills needed to transform your raw data into accurate insights!

课程

Python Toolbox

基础技能水平
4 小时
5.1K
Continue to build your modern Data Science skills by learning about iterators and list comprehensions.

课程

Unsupervised Learning in Python

中级技能水平
4 小时
4.9K
Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.

课程

Working with Hugging Face

基础技能水平
2 小时
4.8K
Navigate and use the extensive repository of models and datasets available on the Hugging Face Hub.

课程

Introduction to APIs in Python

中级技能水平
2 小时
4.7K
Dive into the exciting world of APIs as we introduce you to the basics of consuming and working with Web APIs using Python.

课程

Introduction to Python for Finance

基础技能水平
4 小时
4.6K
Build Python skills to elevate your finance career. Learn how to work with lists, arrays and data visualizations to master financial analyses.

课程

ETL and ELT in Python

中级技能水平
4 小时
3.4K
Learn to build effective, performant, and reliable data pipelines using Extract, Transform, and Load principles.

课程

Writing Efficient Python Code

中级技能水平
4 小时
3.3K
Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.

课程

Data Types in Python

中级技能水平
4 小时
2.9K
Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.

课程

Introduction to LLMs in Python

中级技能水平
3 小时
2.9K
Learn the nuts and bolts of LLMs and the revolutionary transformer architecture they are based on!

课程

Introduction to NumPy

基础技能水平
4 小时
2.9K
Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.

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.
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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.
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Matt Crabtree

15分钟

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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.
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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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