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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

Kursus

Pengantar Python untuk Pengembang

DasarTingkat Keterampilan
3 hours
20.6K

Program

Python Developer

28 hours
3.6K
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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Ramban Programming Kursus dan Trek

Kursus

Pengantar Python

DasarTingkat Keterampilan
4 hours
145.8K
Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.

Kursus

Pengantar R

DasarTingkat Keterampilan
4 hours
37.2K

Kursus

Pengantar Fungsi di Python

DasarTingkat Keterampilan
3 hours
5.5K
Pelajari seni menulis fungsi sendiri dalam Python, serta konsep-konsep penting seperti lingkup (scoping) dan penanganan kesalahan (error handling).

Kursus

Git Tingkat Menengah

DasarTingkat Keterampilan
2 hours
5.5K
Temukan cabang dan repositori jarak jauh untuk pengendalian versi dalam proyek perangkat lunak dan data kolaboratif menggunakan Git!

Kursus

Pengantar Data Science dengan Python

DasarTingkat Keterampilan
4 hours
5.4K
Dive into data science using Python and learn how to effectively analyze and visualize your data. No coding experience or skills needed.

Kursus

Pengantar Java

DasarTingkat Keterampilan
4 hours
4.9K
Pelajari Java dari dasar dengan kursus ramah pemula ini, menguasai konsep dan keterampilan pemrograman yang esensial.

Kursus

Pengantar Docker

MenengahTingkat Keterampilan
4 hours
4.8K
Dapatkan pengenalan tentang Docker dan temukan pentingnya dalam kotak alat profesional data. Pelajari tentang kontainer Docker, gambar, dan lainnya.

Kursus

Introduction to GitHub Concepts

DasarTingkat Keterampilan
2 hours
4.7K
Learn how to use GitHubs various features, navigate the interface and perform everyday collaborative tasks.

Kursus

Data Structures and Algorithms in Python

LanjutanTingkat Keterampilan
4 hours
4.4K
Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!

Kursus

Introduction to Shell

DasarTingkat Keterampilan
4 hours
4.2K
The Unix command line helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds.

Kursus

Software Engineering Principles in Python

DasarTingkat Keterampilan
4 hours
3.3K
Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.

Kursus

Tipe Data di Python

MenengahTingkat Keterampilan
4 hours
3K
Perkuat dan perluas pemahaman Anda tentang tipe data Python seperti daftar, kamus, dan tuple, dan manfaatkan mereka untuk memecahkan masalah Data Science.

Kursus

Pengantar FastAPI

MenengahTingkat Keterampilan
4 hours
2.3K
Bangun API yang andal dan siap produksi dengan FastAPI, kuasai operasi HTTP, validasi, dan eksekusi asinkron untuk menciptakan alur data dan ML yang efisien.

Sumber daya terkait tentang Programming

blogs

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 mnt

blogs

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 mnt

Tutorials

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 mnt


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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