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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

Courses

Introduction to Python

พื้นฐานระดับทักษะ
4 hours
145.5K
Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.

Tracks

Python Data Fundamentals

28 hours
74.6K
Grow your data skills, discover how to manipulate and visualize data, and apply advanced analytics to make data-driven decisions.

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ทำแบบประเมิน

เรียกดูหลักสูตรและแทร็กของ Python

Courses

Prompt Engineering with LangChain

ระดับกลางระดับทักษะ
2-3 hours
0
Learn to write effective prompts and systematically improve them through evaluation rather than intuition.
AI Native

Courses

LLM Application Fundamentals with LangChain

ระดับกลางระดับทักษะ
Over 3 hours
0
Learn to build conversational LLM applications — with reliable structured output, persistent conversation history, and real-time streaming.
AI Native

Tracks

Python Data Fundamentals

28 hours
74.6K
Grow your data skills, discover how to manipulate and visualize data, and apply advanced analytics to make data-driven decisions.

Tracks

Associate Data Scientist in Python

90 hours
42.5K
Learn data science in Python, from data manipulation to machine learning. This track provides the skills needed to succeed as a data scientist!

Tracks

Data Analyst in Python

36 hours
23.2K
Develop your data analytics skills in Python. Gain the data analyst skills to manipulate, analyze, and visualize data. No coding experience required!

Tracks

Associate AI Engineer for Developers

26 hours
20.8K
Learn how to integrate AI into software applications using APIs and open-source libraries. Start your journey to becoming an AI Engineer today!

Tracks

Data Engineer in Python

40 hours
17.8K
Gain in-demand skills to efficiently ingest, clean, manage data, and schedule and monitor pipelines, setting you apart in the data engineering field.

Tracks

Associate Python Developer

32 hours
8.6K
Learn Python for software development, from writing functions to defining classes. Get the necessary skills to kickstart your developer career!

Tracks

Python Programming Fundamentals

16 hours
7.8K
Build your Python programming skills. Learn how to work with modules and packages, work with built-in data types, and write custom functions.

Tracks

Machine Learning Fundamentals in Python

16 hours
6.7K
Learn the art of Machine Learning and come away as a boss at prediction, pattern recognition, and the beginnings of Deep and Reinforcement Learning.

Tracks

Machine Learning Scientist in Python

85 hours
6.1K
Discover machine learning with Python and work towards becoming a machine learning scientist. Explore supervised, unsupervised, and deep learning.

Tracks

Developing AI Applications

21 hours
6K
Learn to create AI-powered applications with the latest AI developer tools, including the OpenAI API, Hugging Face, and LangChain.

Tracks

Machine Learning Engineer

44 hours
4K
This career track teaches you everything you need to know about machine learning engineering and MLOps.

Tracks

Data Scientist in Python

26 hours
3.5K
Learn data science in Python, from data manipulation to machine learning, and gain the skills needed for the Data Scientist in Python certification!

Tracks

Python Developer

28 hours
3.1K
From testing code and implementing version control to web scraping and developing packages, take the next step in your Python developer journey!

Tracks

AI Engineering with LangChain

21 hours
2.7K
From prompt engineering to agentic systems—develop the complete skill set to build AI applications that scale, with an AI tutor by your side.
AI Native

Tracks

Data Manipulation in Python

16 hours
2.4K
Take the pain out of data manipulation using pandas. You’ll learn how to transform, sort, and filter data in DataFrames, ready for quick analysis.

Tracks

Python Programming

19 hours
2.4K
Level-up your programming skills. Learn how to optimize code, write functions and tests, and use best-practice software engineering techniques.

Tracks

Professional Data Engineer in Python

40 hours
2.2K
Dive deep into advanced skills and state-of-the-art tools revolutionizing data engineering roles today with our Professional Data Engineer track.

Tracks

Statistics Fundamentals in Python

20 hours
2K
Confidently learn to calculate statistics and probability, evaluate statistical models, and draw conclusions from hypothesis tests.

Tracks

Big Data with PySpark

25 hours
1.9K
Master how to process big data and leverage it efficiently with Apache Spark using the PySpark API.

Tracks

Data Visualization in Python

16 hours
1.6K
Supercharge your data science skills using Python's most popular and robust data visualization libraries.

Tracks

Natural Language Processing in Python

20 hours
1.5K
Learn how to transcribe, and extract exciting insights from books, review sites, and online articles with Natural Language Processing (NLP) in Python.

Tracks

Building APIs in Python

13 hours
1.5K
Building APIs in Python teaches you to create and manage APIs with Python and FastAPI through practical, hands-on courses and projects.

Tracks

Finance Fundamentals in Python

25 hours
1K
Gain the introductory skills you need to make data-driven financial decisions in Python—using pandas, NumPy, statsmodels, and pyfolio libraries.

Tracks

Importing & Cleaning Data in Python

13 hours
994
Gain the real-world data prepping skills you need to reveal the insights that matter! Discover how to import, clean, and work with APIs and web data.

Tracks

Developing Large Language Models

16 hours
987
Learn to develop large language models (LLMs) with PyTorch and Hugging Face, using the latest deep learning and NLP techniques.

แหล่งข้อมูลที่เกี่ยวข้องบน Python

blogs

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 นาที

blogs

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 นาที

cheat sheets

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 นาที

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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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