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Programming is a highly versatile skill, enabling you to dictate instructions to computer programs. DataCamp combines short video with extensive hands-on coding exercises, enabling anyone to master programming at speed.

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Recommended for Programming beginners

Build your Programming skills with interactive courses curated by real-world experts

Course

Introduction to Python for Developers

BasicSkill Level
4.8+
18.9K
3 hours
Master the fundamentals of programming in Python. No prior knowledge required!

Track

Python Developer

2.9K
28 hours
From testing code and implementing version control to web scraping and developing packages, take the next step in your Python developer journey!

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Browse Programming courses and tracks

Course

Introduction to Python

BasicSkill Level
4.8+
135.2K
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.

Course

Introduction to R

BasicSkill Level
4.8+
31.8K
4 hours
Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.

Course

Intermediate Python

BasicSkill Level
4.8+
29.8K
4 hours
Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.

Course

Introduction to Git

BasicSkill Level
4.8+
12.3K
2 hours
Discover the fundamentals of Git for version control in your software and data projects.

Course

Intermediate Python for Developers

BasicSkill Level
4.8+
7.4K
2 hours
Dive into the Python ecosystem, discovering modules and packages along with how to write custom functions!

Course

Introduction to the Tidyverse

BasicSkill Level
4.8+
7K
4 hours
Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.

Course

Intermediate R

BasicSkill Level
4.8+
6.9K
6 hours
Continue your journey to becoming an R ninja by learning about conditional statements, loops, and vector functions.

Course

Introduction to Functions in Python

BasicSkill Level
4.8+
5.3K
3 hours
Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.

Course

Intermediate Git

BasicSkill Level
4.8+
5.2K
2 hours
Discover branches and remote repos for version control in collaborative software and data projects using Git!

Course

Introduction to GitHub Concepts

BasicSkill Level
4.7+
5K
2 hours
Learn how to use GitHubs various features, navigate the interface and perform everyday collaborative tasks.

Course

Introduction to Java

BasicSkill Level
4.8+
4.8K
4 hours
Learn Java from the ground up with this beginner-friendly course, mastering essential programming concepts and skills.

Course

Introduction to APIs in Python

IntermediateSkill Level
4.8+
4.7K
2 hours
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+
4.5K
4 hours
Continue to build your modern Data Science skills by learning about iterators and list comprehensions.

Course

Introduction to Docker

IntermediateSkill Level
4.7+
4.4K
4 hours
Gain an introduction to Docker and discover its importance in the data professional’s toolkit. Learn about Docker containers, images, and more.

Course

Introduction to Data Science in Python

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

Course

Introduction to Shell

BasicSkill Level
4.8+
3.5K
4 hours
The Unix command line helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds.

Course

Software Engineering Principles in Python

BasicSkill Level
4.7+
3.3K
4 hours
Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.

Course

Writing Efficient Python Code

IntermediateSkill Level
4.8+
2.9K
4 hours
Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.

Course

Introduction to SQL Server

BasicSkill Level
4.8+
2.7K
4 hours
Learn to use SQL Server to perform common data manipulation tasks and master common data manipulation tasks using this database system.

Course

Writing Functions in Python

IntermediateSkill Level
4.8+
2.3K
4 hours
Learn to use best practices to write maintainable, reusable, complex functions with good documentation.

Course

Introduction to FastAPI

IntermediateSkill Level
4.7+
2.2K
4 hours
Build robust, production-grade APIs with FastAPI, mastering HTTP operations, validation, and async execution to create efficient data and ML pipelines.

Course

Data Types in Python

IntermediateSkill Level
4.8+
2.1K
4 hours
Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.

Course

Introduction to Kubernetes

IntermediateSkill Level
4.8+
2.1K
3 hours
In this course, you will learn the fundamentals of Kubernetes and deploy and orchestrate containers using Manifests and kubectl instructions.

Related resources on Programming

blog

Introduction to Programming Paradigms

Explore the core concepts of major programming paradigms with Python examples, including object-oriented, functional, procedural, and declarative paradigms.
Samuel Shaibu's photo

Samuel Shaibu

12 min

blog

Will AI Replace Programming?

Will programmers disappear, or will their roles just be disrupted by the adoption of next-generation AI tools?
Javier Canales Luna's photo

Javier Canales Luna

8 min

Tutorial

Functional Programming vs Object-Oriented Programming in Data Analysis

Explore two of the most commonly used programming paradigms in data science: object-oriented programming and functional programming.
Amberle McKee's photo

Amberle McKee

15 min

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    Frequently asked questions

    What is programming?

    Programming refers to a technological process for telling a computer which tasks to perform in order to solve problems. 

    Programming is a collaboration between humans and computers in which humans create instructions for a computer to follow (code) in a language computers can understand.

    Which Programming course is the best for absolute beginners?

    Depending on which language you want to learn, anyone can take all introductory courses on DataCamp—no experience is required.

    Python is the world’s most popular programming language and a great place to start for any aspiring data professional.

    However, R, SQL, and Julia are other great leanguages you can start learning today.

    Introduction to Python—universally used, simple to read, and accessible to learn

    Introduction to R—powerful and  favored in specialized areas like statistical analysis and data visualization

    Introduction to SQL—most popular for database management

    Introduction to Julia—new and fast, ideal for scientific computing, machine learning, and data mining.

    You can start coding today with interactive exercises.

    How will programming help my career?

    Knowing how to code makes you more adaptable, and a better problem solver, and gives you an in-demand, high-earning skill. 

    Coders or computer programmers have the flexibility to choose the career path they want.

    And, you don’t need a school or university, you can learn programming quickly online through platforms like DataCamp.

    Starting from scratch? In 90 hours of study, you can go from zero to job-ready with our Associate Data Scientist in Python Career Track.

    Do I need any prior experience to take a Programming course?

    No, anyone can start programming instantly on DataCamp. 

    Choose your language, and start from scratch at your own pace with interactive, expert-led exercises.

    Which programming language should I learn?

    Python is the world’s most popular programming language and a great place to start for any aspiring data professional. 

    R is widely used in academic circles, especially for those focused on specialized areas like statistical analysis, data visualization, and research.  

    SQL is the world’s most popular database management language. It is used extensively for data retrieval, insertion, updating, and deleting. This makes it a fundamental tool for data analysis, database management, and in various applications where data storage and query are essential.

    Julia is a new and exciting programming language designed from its foundations to be the ideal language for scientific computing, machine learning, and data mining.

    How long does it take to learn programming?

    Each introductory course on DataCamp is between three to five hours, and requires no previous experience.

    In other words, you can quite quickly develop foundational skills and start coding.

    Career tracks, such as Associate Data Scientist in Python, involve multiple courses and projects, taking 90+ hours.

    This is similar across other programming languages. 

    There is no one-size-fits-all approach, and even advanced or professional programmers continue to develop their skills.

    However, if you dedicate a few weeks of part-time study, you can master the basics and prepare for more advanced programming.

    Is it easy to learn programming?

    Anyone can learn to code if you dedicate time. 

    DataCamp’s interactive approach means you don’t take on too much too soon, and you start applying your skills from day one, preparing you for real-world applications.

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    Grow your data skills with DataCamp for Mobile

    Make progress on the go with our mobile courses and daily 5-minute coding challenges.