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Programming courses

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

GrundläggandeFärdighetsnivå
4.7+
19.2K
3 hours
Master the fundamentals of programming in Python. No prior knowledge required!

track

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!

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Gör En Bedömning

Bläddra bland Programming kurser och spår

course

Intermediate GitHub Concepts

MellanliggandeFärdighetsnivå
4.5+
1.9K
3 hours
Level up your GitHub skills with our intermediate course on GitHub Projects, Administration, and advanced security features.

course

Advanced Git

AvanceradFärdighetsnivå
4.5+
1.6K
3 hours
Master Git’s advanced features to streamline data science and engineering workflows, from complex merging to large-scale project optimization.

course

Intermediate Java

GrundläggandeFärdighetsnivå
4.6+
1.6K
4 hours
Learn to write cleaner, smarter Java code with methods, control flow, and loops.

course

Introduction to Testing in Python

AvanceradFärdighetsnivå
4.5+
1.4K
4 hours
Master Python testing: Learn methods, create checks, and ensure error-free code with pytest and unittest.

course

DevOps Concepts

GrundläggandeFärdighetsnivå
4.6+
1.3K
4 hours
In this Introduction to DevOps, you’ll master the DevOps basics and learn the key concepts, tools, and techniques to improve productivity.

course

Regular Expressions in Python

GrundläggandeFärdighetsnivå
4.5+
1.3K
4 hours
Learn about string manipulation and become a master at using regular expressions.

course

Intermediate Docker

MellanliggandeFärdighetsnivå
4.5+
1.2K
4 hours
Master multi-stage builds, Docker networking tools, and Docker Compose for optimal containerized applications!

course

Introduction to Bash Scripting

MellanliggandeFärdighetsnivå
4.6+
1K
4 hours
Bash scripting allows you to build analytics pipelines in the cloud and work with data stored across multiple files.

course

Writing Efficient R Code

MellanliggandeFärdighetsnivå
4.5+
1K
4 hours
Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.

course

Intermediate SQL Server

MellanliggandeFärdighetsnivå
4.7+
1K
4 hours
In this course, you will use T-SQL, the flavor of SQL used in Microsofts SQL Server for data analysis.

course

Developing Python Packages

MellanliggandeFärdighetsnivå
4.4+
886
4 hours
Learn to create your own Python packages to make your code easier to use and share with others.

course

Data Types and Exceptions in Java

MellanliggandeFärdighetsnivå
4.6+
805
4 hours
Learn to work with Plain Old Java Objects, master the Collections Framework, and handle exceptions like a pro, with logging to back it all up!

course

Introduction to Optimization in Python

MellanliggandeFärdighetsnivå
4.5+
731
4 hours
Learn to solve real-world optimization problems using Pythons SciPy and PuLP, covering everything from basic to constrained and complex optimization.

course

Input/Output and Streams in Java

MellanliggandeFärdighetsnivå
4.5+
696
4 hours
Advance your Java skills by learning to handle files, process data, and build clean, reusable code using real-world techniques.

course

Building Web Applications with Shiny in R

MellanliggandeFärdighetsnivå
4.3+
687
4 hours
Shiny is an R package that makes it easy to build interactive web apps directly in R, allowing your team to explore your data as dashboards or visualizations.

course

Introduction to Julia

GrundläggandeFärdighetsnivå
4.7+
451
4 hours
Julia is a new programming language designed to be the ideal language for scientific computing, machine learning, and data mining.

course

Working with Dates and Times in R

MellanliggandeFärdighetsnivå
4.7+
389
4 hours
Learn the essentials of parsing, manipulating and computing with dates and times in R.

Relaterade resurser på 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

Ready to apply your skills?

Projects allow you to apply your knowledge to a wide range of datasets to solve real-world problems in your browser

    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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