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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
4.8+
136.5K
4 hours
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

74.2K
28 hours
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

Retrieval-Augmented Generation with LangChain

ระดับกลางระดับทักษะ
4.6+
0
2-3 hours
Learn to build knowledge-grounded LLM applications that retrieve relevant information from structured and unstructured sources before generating responses.
AI Native

Courses

LLM Tool Use with LangChain

ระดับกลางระดับทักษะ
4.4+
0
Over 3 hours
Learn to extend your LLM applications with external tools, so your applications can retrieve live data, perform computations, and take real-world actions.
AI Native

Tracks

Python Data Fundamentals

74.2K
28 hours
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

45.8K
90 hours
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

21.8K
36 hours
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

21.3K
26 hours
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

16.8K
40 hours
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

7.8K
32 hours
Learn Python for software development, from writing functions to defining classes. Get the necessary skills to kickstart your developer career!

Tracks

Developing AI Applications

7.7K
21 hours
Learn to create AI-powered applications with the latest AI developer tools, including the OpenAI API, Hugging Face, and LangChain.

Tracks

Python Programming Fundamentals

7.3K
16 hours
Build your Python programming skills. Learn how to work with modules and packages, work with built-in data types, and write custom functions.

Tracks

AI Engineering with LangChain

6.6K
21 hours
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

Machine Learning Fundamentals in Python

6.5K
16 hours
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

5.4K
85 hours
Discover machine learning with Python and work towards becoming a machine learning scientist. Explore supervised, unsupervised, and deep learning.

Tracks

Machine Learning Engineer

3.9K
44 hours
This career track teaches you everything you need to know about machine learning engineering and MLOps.

Tracks

Data Scientist in Python

3.2K
26 hours
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

3K
28 hours
From testing code and implementing version control to web scraping and developing packages, take the next step in your Python developer journey!

Tracks

Data Manipulation in Python

2.4K
16 hours
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

2.1K
19 hours
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

2K
40 hours
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

1.8K
20 hours
Confidently learn to calculate statistics and probability, evaluate statistical models, and draw conclusions from hypothesis tests.

Tracks

Big Data with PySpark

1.6K
25 hours
Master how to process big data and leverage it efficiently with Apache Spark using the PySpark API.

Tracks

Data Visualization in Python

1.5K
16 hours
Supercharge your data science skills using Pythons most popular and robust data visualization libraries.

Tracks

Building APIs in Python

1.4K
13 hours
Building APIs in Python teaches you to create and manage APIs with Python and FastAPI through practical, hands-on courses and projects.

Tracks

Natural Language Processing in Python

1.4K
20 hours
Learn how to transcribe, and extract exciting insights from books, review sites, and online articles with Natural Language Processing (NLP) in Python.

Tracks

Finance Fundamentals in Python

955
25 hours
Gain the introductory skills you need to make data-driven financial decisions in Python—using pandas, NumPy, statsmodels, and pyfolio libraries.

Tracks

Image Processing in Python

954
12 hours
Apply your Python skills to take on image data! From pre-processing to deep learning, youll discover the many ways you can leverage image data.

Tracks

Developing Large Language Models

912
16 hours
Learn to develop large language models (LLMs) with PyTorch and Hugging Face, using the latest deep learning and NLP techniques.

Tracks

Time Series in Python

884
20 hours
Gain the skills you need to manipulate, interpret, and visualize time series data in Python, using pandas, NumPy, and Matplotlib.

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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