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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

BeginnerSkill Level
3 hours
5.3K
Master the fundamentals of programming in Python. No prior knowledge required!

track

Python Developer

28 hours
143
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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77 results

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Introduction to Python

BeginnerSkill Level
4 hours
33.2K
Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.

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Introduction to R

BeginnerSkill Level
4 hours
15.3K
Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.

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Intermediate Python

BeginnerSkill Level
4 hours
18.6K
Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.

course

Intermediate R

BeginnerSkill Level
6 hours
5.9K
Continue your journey to becoming an R ninja by learning about conditional statements, loops, and vector functions.

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Introduction to the Tidyverse

BeginnerSkill Level
4 hours
7K
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.

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Introduction to Functions in Python

BeginnerSkill Level
3 hours
5.1K
Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.

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Python Toolbox

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

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Introduction to Data Science in Python

BeginnerSkill Level
4 hours
3K
Dive into data science using Python and learn how to effectively analyze and visualize your data. No coding experience or skills needed.

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Foundations of Git

BeginnerSkill Level
4 hours
2.5K
Familiarize yourself with Git for version control. Explore how to track, compare, modify, and revert files, as well as collaborate with colleagues using Git.

course

Introduction to Testing in Python

AdvancedSkill Level
4 hours
702
Master Python testing: Learn methods, create checks, and ensure error-free code with pytest and unittest.

course

Introduction to Git

BeginnerSkill Level
2 hours
2.2K
Discover the fundamentals of Git for version control in your software and data projects.

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Intermediate Python for Developers

BeginnerSkill Level
2 hours
3.9K
Dive into the Python ecosystem, discovering modules and packages along with how to write custom functions!

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Introduction to Docker

IntermediateSkill Level
4 hours
1.1K
Gain an introduction to Docker and discover its importance in the data professional’s toolkit. Learn about Docker containers, images, and more.

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Introduction to Java

IntermediateSkill Level
4 hours
623
Learn Java from the ground up with this beginner-friendly course, mastering essential programming concepts and skills.

course

Introduction to Shell

BeginnerSkill Level
4 hours
1.8K
The Unix command line helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds.

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Introduction to SQL Server

BeginnerSkill Level
4 hours
1.2K
Learn to use SQL Server to perform common data manipulation tasks and master common data manipulation tasks using this database system.

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Writing Functions in Python

IntermediateSkill Level
4 hours
2K
Learn to use best practices to write maintainable, reusable, complex functions with good documentation.

course

Introduction to GitHub Concepts

BeginnerSkill Level
2 hours
1.6K
Learn how to use GitHubs various features, navigate the interface and perform everyday collaborative tasks.

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Writing Efficient Python Code

IntermediateSkill Level
4 hours
1.3K
Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.

course

Data Types in Python

IntermediateSkill Level
4 hours
1.5K
Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.

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Intermediate Git

BeginnerSkill Level
2 hours
1.2K
Discover branches and remote repos for version control in collaborative software and data projects using Git!

course

Introduction to Kubernetes

IntermediateSkill Level
3 hours
595
In this course, you will learn the fundamentals of Kubernetes and deploy and orchestrate containers using Manifests and kubectl instructions.

course

Introduction to APIs in Python

IntermediateSkill Level
2 hours
754
Dive into the exciting world of APIs as we introduce you to the basics of consuming and working with Web APIs using Python.

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Software Engineering Principles in Python

IntermediateSkill Level
4 hours
1.2K
Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.

course

Intermediate SQL Server

IntermediateSkill Level
4 hours
668
In this course, you will use T-SQL, the flavor of SQL used in Microsofts SQL Server for data analysis.

course

Intermediate Docker

IntermediateSkill Level
4 hours
401
Master multi-stage builds, Docker networking tools, and Docker Compose for optimal containerized applications!

course

Writing Efficient R Code

IntermediateSkill Level
4 hours
796
Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.

course

Regular Expressions in Python

BeginnerSkill Level
4 hours
614
Learn about string manipulation and become a master at using regular expressions.

course

DevOps Concepts

BeginnerSkill Level
4 hours
361
In this Introduction to DevOps, you’ll master the DevOps basics and learn the key concepts, tools, and techniques to improve productivity.

course

Intermediate GitHub Concepts

BeginnerSkill Level
3 hours
656
Level up your GitHub skills with our intermediate course on GitHub Projects, Administration, and advanced security features.

course

Developing Python Packages

IntermediateSkill Level
4 hours
654
Learn to create your own Python packages to make your code easier to use and share with others.

course

Introduction to Bash Scripting

IntermediateSkill Level
4 hours
259
Bash scripting allows you to build analytics pipelines in the cloud and work with data stored across multiple files.

course

Introduction to FastAPI

IntermediateSkill Level
4 hours
269
Build robust, production-grade APIs with FastAPI, mastering HTTP operations, validation, and async execution to create efficient data and ML pipelines.

course

Building Web Applications with Shiny in R

IntermediateSkill Level
4 hours
225
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

BeginnerSkill Level
4 hours
90
Julia is a new programming language designed to be the ideal language for scientific computing, machine learning, and data mining.

course

Programming Paradigm Concepts

BeginnerSkill Level
2 hours
400
Explore a range of programming paradigms, including imperative and declarative, procedural, functional, and object-oriented programming.

course

Introduction to Optimization in Python

IntermediateSkill Level
4 hours
145
Learn to solve real-world optimization problems using Pythons SciPy and PuLP, covering everything from basic to constrained and complex optimization.

course

Introduction to Scala

IntermediateSkill Level
3 hours
106
Begin your journey with Scala, a popular language for scalable applications and data engineering infrastructure.

course

Python for Spreadsheet Users

BeginnerSkill Level
4 hours
119
Use your knowledge of common spreadsheet functions and techniques to explore Python!

course

Developing R Packages

IntermediateSkill Level
4 hours
106
Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.

course

Python for R Users

IntermediateSkill Level
5 hours
58
This course is for R users who want to get up to speed with Python!

course

R For SAS Users

BeginnerSkill Level
4 hours
34
Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.

course

Python for MATLAB Users

BeginnerSkill Level
4 hours
40
Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.

course

Intermediate Julia

BeginnerSkill Level
4 hours
50
Take your Julia skills to the next level with our intermediate Julia course. Learn about loops, advanced data structures, timing, and more.

course

Parallel Programming in R

IntermediateSkill Level
4 hours
26
Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.

course

Defensive R Programming

IntermediateSkill Level
4 hours
41
Learn defensive programming in R to make your code more robust.

course

Case Study: Building Software in Python

AdvancedSkill Level
3 hours
15
Build real-world applications with Python—practice using OOP and software engineering principles to write clean and maintainable code.

course

Scalable Data Processing in R

AdvancedSkill Level
4 hours
14
Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.

course

Concepts in Computer Science

BeginnerSkill Level
3 hours
6
Learn how computers work, design efficient algorithms, and explore computational theory to solve real-world problems.
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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

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

project

Performing a Code Review

1 hour
3.1K
Review a data analysis workflow for adherence to Python standards and best-practices.

project

Cleaning Bank Marketing Campaign Data

0.5 hours
12.1K
Tidy a bank marketing campaign dataset by splitting it into subsets, updating values, converting data types, and storing it as multiple csv files.
See More

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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