Hoppa till huvudinnehåll
Hem

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.

Skapa ditt gratiskonto

eller

Genom att fortsätta accepterar du våra Användarvillkor, vår Integritetspolicy och att dina uppgifter lagras i USA.
Group

Utbilda 2 eller fler personer?

Testa DataCamp for Business

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!

Är du osäker på var du ska börja?

Gör En Bedömning

Bläddra bland Programming kurser och spår

course

Optimizing Code in Java

AvanceradFärdighetsnivå
4.7+
311
3 hours
Learn key techniques to optimize Java performance, from algorithm efficiency to JVM tuning and multithreading.

course

Querying a PostgreSQL Database in Java

AvanceradFärdighetsnivå
4.5+
308
3 hours
Connect Java to PostgreSQL with JDBC. Write secure queries, manage transactions, and handle large datasets efficiently.

course

Case Study: Building Software in Python

AvanceradFärdighetsnivå
4.6+
290
3 hours
Build real-world applications with Python—practice using OOP and software engineering principles to write clean and maintainable code.

course

Introduction to Scala

MellanliggandeFärdighetsnivå
4.6+
267
3 hours
Begin your journey with Scala, a popular language for scalable applications and data engineering infrastructure.

course

Introduction to Testing in Java

AvanceradFärdighetsnivå
4.6+
259
3 hours
Learn how to write effective tests in Java using JUnit and Mockito to build robust, reliable applications with confidence.

course

Concepts in Computer Science

GrundläggandeFärdighetsnivå
4.6+
240
3 hours
Learn how computers work, design efficient algorithms, and explore computational theory to solve real-world problems.

course

Python for R Users

MellanliggandeFärdighetsnivå
4.6+
212
5 hours
This course is for R users who want to get up to speed with Python!

course

Python for Spreadsheet Users

GrundläggandeFärdighetsnivå
4.8+
176
4 hours
Use your knowledge of common spreadsheet functions and techniques to explore Python!

course

Developing R Packages

MellanliggandeFärdighetsnivå
4.3+
166
4 hours
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

Programming Paradigm Concepts

GrundläggandeFärdighetsnivå
4.7+
165
2 hours
Explore a range of programming paradigms, including imperative and declarative, procedural, functional, and object-oriented programming.

course

Importing Data in Java

MellanliggandeFärdighetsnivå
4.6+
163
3 hours
Learn to import, manipulate, and transform data in Java using the Tablesaw library. Work with CSV files, tabular structures, and complex JSON formats.

course

Python for MATLAB Users

GrundläggandeFärdighetsnivå
4.5+
143
4 hours
Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.

course

R For SAS Users

GrundläggandeFärdighetsnivå
4.5+
140
4 hours
Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.

course

Parallel Programming with Dask in Python

MellanliggandeFärdighetsnivå
4.7+
120
4 hours
Learn how to use Python parallel programming with Dask to upscale your workflows and efficiently handle big data.

course

Intermediate Regular Expressions in R

MellanliggandeFärdighetsnivå
4.7+
93
4 hours
Manipulate text data, analyze it and more by mastering regular expressions and string distances in R.

course

Intermediate Julia

GrundläggandeFärdighetsnivå
4.6+
79
4 hours
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

MellanliggandeFärdighetsnivå
4.8+
66
4 hours
Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.

course

Optimizing R Code with Rcpp

MellanliggandeFärdighetsnivå
4.5+
61
4 hours
Use C++ to dramatically boost the performance of your R code.

course

Defensive R Programming

MellanliggandeFärdighetsnivå
4.9+
58
4 hours
Learn defensive programming in R to make your code more robust.

course

Scalable Data Processing in R

AvanceradFärdighetsnivå
4.5+
40
4 hours
Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.

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.

    Andra tekniker och ämnen

    technologies

    topics

    Utveckla dina datakunskaper med DataCamp för mobilen

    Gör framsteg när du är på språng med våra mobila kurser och dagliga 5-minuters kodningsutmaningar.