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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

Course

Introduction to Python

BasicSkill Level
4.8+
9,391 reviews
4 hr
Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.

Track

Python Data Fundamentals

4.7+
101 reviews
28 hr
Grow your data skills, discover how to manipulate and visualize data, and apply advanced analytics to make data-driven decisions.

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Browse Python courses and tracks

Course

Introduction to Python

BasicSkill Level
4.8+
9,391 reviews
4 hr
Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.

Course

Intermediate Python

BasicSkill Level
4.7+
5,052 reviews
4 hr
Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.

Course

Supervised Learning with scikit-learn

IntermediateSkill Level
4.7+
8,842 reviews
4 hr
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!

Course

Data Manipulation with pandas

BasicSkill Level
4.8+
14,936 reviews
4 hr
Learn how to import and clean data, calculate statistics, and create visualizations with pandas.
AI Tutor

Course

Intermediate Python for Developers

BasicSkill Level
4.8+
8,337 reviews
2 hr
Dive into the Python ecosystem, discovering modules and packages along with how to write custom functions!

Course

Introduction to Statistics in Python

IntermediateSkill Level
4.7+
8,435 reviews
4 hr
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.

Course

Exploratory Data Analysis in Python

IntermediateSkill Level
4.8+
7,456 reviews
4 hr
Learn how to explore, visualize, and extract insights from data using exploratory data analysis (EDA) in Python.

Course

Joining Data with pandas

IntermediateSkill Level
4.8+
9,271 reviews
4 hr
Learn to combine data from multiple tables by joining data together using pandas.

Course

Working with Hugging Face

BasicSkill Level
4.8+
5,820 reviews
2 hr
Navigate and use the extensive repository of models and datasets available on the Hugging Face Hub.

Course

Data Structures and Algorithms in Python

AdvancedSkill Level
4.7+
1,230 reviews
4 hr
Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!

Course

Unsupervised Learning in Python

IntermediateSkill Level
4.8+
1,136 reviews
4 hr
Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.

Course

Introduction to APIs in Python

IntermediateSkill Level
4.8+
4,130 reviews
2 hr
Dive into the exciting world of APIs as we introduce you to the basics of consuming and working with Web APIs using Python.

Course

Python Toolbox

BasicSkill Level
4.8+
1,303 reviews
4 hr
Continue to build your modern Data Science skills by learning about iterators and list comprehensions.

Course

Introduction to Functions in Python

BasicSkill Level
4.8+
1,318 reviews
3 hr
Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.

Course

Cleaning Data in Python

IntermediateSkill Level
4.7+
5,023 reviews
4 hr
Learn to diagnose and treat dirty data and develop the skills needed to transform your raw data into accurate insights!

Course

Software Engineering Principles in Python

BasicSkill Level
4.7+
744 reviews
4 hr
Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.

Course

Introduction to LLMs in Python

IntermediateSkill Level
4.7+
1,805 reviews
3 hr
Learn the nuts and bolts of LLMs and the revolutionary transformer architecture they are based on!

Course

Writing Efficient Python Code

IntermediateSkill Level
4.8+
2,561 reviews
4 hr
Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.

Course

Introduction to Python for Finance

BasicSkill Level
4.8+
478 reviews
4 hr
Build Python skills to elevate your finance career. Learn how to work with lists, arrays and data visualizations to master financial analyses.

Course

Introduction to Data Science in Python

BasicSkill Level
4.8+
504 reviews
4 hr
Dive into data science using Python and learn how to effectively analyze and visualize your data. No coding experience or skills needed.

Course

ETL and ELT in Python

IntermediateSkill Level
4.8+
2,648 reviews
4 hr
Learn to build effective, performant, and reliable data pipelines using Extract, Transform, and Load principles.

Course

Writing Functions in Python

IntermediateSkill Level
4.8+
2,830 reviews
4 hr
Learn to use best practices to write maintainable, reusable, complex functions with good documentation.

Related resources on Python

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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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