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Python courses

Python is one of the most popular programming languages for data science, automation, and web development. DataCamp’s Python courses offer hands-on, interactive training designed by experts to help you learn efficiently. Whether you're a beginner or looking to refine your skills, you'll practice with real-world exercises in an intuitive learning environment. Start coding in Python today and build the skills needed to advance your career.

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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 hours
135.5K
Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.

Track

Python Data Fundamentals

28 hours
73.5K
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

Building AI Agents with CrewAI

IntermediateSkill Level
1 hour
342
Build AI teams that work together, automate workflows, and generate content with CrewAI.

Course

Image Modeling with Keras

AdvancedSkill Level
4 hours
340
Learn to conduct image analysis using Keras with Python by constructing, training, and evaluating convolutional neural networks.

Course

Generalized Linear Models in Python

AdvancedSkill Level
5 hours
336
Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.

Course

Market Basket Analysis in Python

IntermediateSkill Level
4 hours
331
Explore association rules in market basket analysis with Python by bookstore data and creating movie recommendations.

Course

Case Study: Building Software in Python

AdvancedSkill Level
3 hours
324
Build real-world applications with Python—practice using OOP and software engineering principles to write clean and maintainable code.

Course

Foundations of Probability in Python

IntermediateSkill Level
5 hours
305
Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.

Course

Statistical Simulation in Python

IntermediateSkill Level
4 hours
272
Learn to solve increasingly complex problems using simulations to generate and analyze data.

Course

Foundations of Inference in Python

AdvancedSkill Level
4 hours
265
Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.

Course

Analyzing Financial Statements in Python

IntermediateSkill Level
4 hours
265
Learn to analyze financial statements using Python. Compute ratios, assess financial health, handle missing values, and present your analysis.

Course

Introduction to Amazon Bedrock

IntermediateSkill Level
3 hours
254
Learn to use Amazon Bedrock to access foundation AI models and build with AI - without managing complex infrastructure.

Course

Working with DeepSeek in Python

BasicSkill Level
3 hours
254
Discover what all of the DeepSeek hype was really about! Build applications using DeepSeeks R1 and V3 models.

Course

Building AI Agents with Haystack

IntermediateSkill Level
2 hours
236
Create a healthcare AI agent using Haystack, an open-source framework for orchestrating LLMs and external components.

Course

GARCH Models in Python

IntermediateSkill Level
4 hours
233
Learn about GARCH Models, how to implement them and calibrate them on financial data from stocks to foreign exchange.

Course

Machine Learning for Marketing in Python

IntermediateSkill Level
4 hours
215
From customer lifetime value, predicting churn to segmentation - learn and implement Machine Learning use cases for Marketing in Python.

Related resources on Python

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The 36 Top Python Interview Questions & Answers For 2026

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How to Learn Python From Scratch in 2026: An Expert Guide

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15 min

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Python Cheat Sheet for Beginners

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8 min


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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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