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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+
9,997 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+
105 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 NumPy

BasicSkill Level
4.8+
1,583 reviews
4 hr
Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.

Course

Introduction to Polars

BasicSkill Level
4.8+
561 reviews
3 hr
Learn how to efficiently transform, clean, and analyze data using Polars, a Python library for fast data manipulation.

Course

ETL and ELT in Python

IntermediateSkill Level
4.8+
2,797 reviews
4 hr
Learn to build effective, performant, and reliable data pipelines using Extract, Transform, and Load principles.

Course

Introduction to Data Engineering

IntermediateSkill Level
4.7+
891 reviews
4 hr
Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.

Course

Hypothesis Testing in Python

IntermediateSkill Level
4.7+
3,765 reviews
4 hr
Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.

Course

Multi-Agent Systems with LangGraph

AdvancedSkill Level
4.8+
762 reviews
2 hr 45 min
Build powerful multi-agent systems by applying emerging agentic design patterns in the LangGraph framework.

Course

Sampling in Python

IntermediateSkill Level
4.7+
3,983 reviews
4 hr
Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.

Course

Introduction to Testing in Python

AdvancedSkill Level
4.7+
1,446 reviews
4 hr
Master Python testing: Learn methods, create checks, and ensure error-free code with pytest and unittest.

Course

Streamlined Data Ingestion with pandas

IntermediateSkill Level
4.8+
2,033 reviews
4 hr
Learn to acquire data from common file formats and systems such as CSV files, spreadsheets, JSON, SQL databases, and APIs.

Course

Object-Oriented Programming in Python

AdvancedSkill Level
4.7+
810 reviews
4 hr
Dive in and learn how to create classes and leverage inheritance and polymorphism to reuse and optimize code.

Course

Intermediate Python for Finance

IntermediateSkill Level
4.7+
1,027 reviews
4 hr
Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.

Course

Experimental Design in Python

IntermediateSkill Level
4.7+
1,945 reviews
4 hr
Implement experimental design setups and perform robust statistical analyses to make precise and valid conclusions!

Course

Web Scraping in Python

IntermediateSkill Level
4.7+
1,105 reviews
4 hr
Learn to retrieve and parse information from the internet using the Python library scrapy.

Course

Linear Classifiers in Python

IntermediateSkill Level
4.8+
348 reviews
4 hr
In this course you will learn the details of linear classifiers like logistic regression and SVM.

Course

Building AI Agents with Google ADK

IntermediateSkill Level
4.8+
590 reviews
1 hr
Build a customer-support assistant step-by-step with Google’s Agent Development Kit (ADK).

Course

Time Series Analysis in Python

IntermediateSkill Level
4.8+
148 reviews
4 hr
In this four-hour course, you’ll learn the basics of analyzing time series data in Python.

Course

Explainable AI in Python

IntermediateSkill Level
4.8+
1,188 reviews
4 hr
Gain the essential skills using Scikit-learn, SHAP, and LIME to test and build transparent, trustworthy, and accountable AI systems.

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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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