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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

Курс

Introduction to Python for Developers

БазовыйУровень навыков
4.8+
10 701 отзыв
3 ч
Master the fundamentals of programming in Python. No prior knowledge required!

Трек

Python-разработчик

4.3+
14 отзывов
28 ч
От тестирования кода и внедрения контроля версий до веб-скрейпинга и разработки пакетов — сделайте следующий шаг в вашем пути Python-разработчика!

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Просматривайте курсы и треки Programming

Курс

Introduction to Python

БазовыйУровень навыков
4.8+
8 867 отзывов
4 ч
Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.

Курс

Intermediate Python

БазовыйУровень навыков
4.8+
4 778 отзывов
4 ч
Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.

Курс

Introduction to R

БазовыйУровень навыков
4.8+
2 368 отзывов
4 ч
Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.

Курс

Introduction to Python for Developers

БазовыйУровень навыков
4.8+
10 701 отзыв
3 ч
Master the fundamentals of programming in Python. No prior knowledge required!

Курс

Introduction to Git

БазовыйУровень навыков
4.8+
10 494 отзыва
2 ч
Discover the fundamentals of Git for version control in your software and data projects.

Курс

Intermediate Python for Developers

БазовыйУровень навыков
4.8+
7 742 отзыва
2 ч
Dive into the Python ecosystem, discovering modules and packages along with how to write custom functions!

Курс

Intermediate Git

БазовыйУровень навыков
4.8+
6 369 отзывов
2 ч
Discover branches and remote repos for version control in collaborative software and data projects using Git!

Курс

Introduction to the Tidyverse

БазовыйУровень навыков
4.8+
1 116 отзывов
4 ч
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.

Курс

Introduction to GitHub Concepts

БазовыйУровень навыков
4.7+
3 435 отзывов
2 ч
Learn how to use GitHubs various features, navigate the interface and perform everyday collaborative tasks.

Курс

PostgreSQL Summary Stats and Window Functions

Средний уровеньУровень навыков
4.7+
7 104 отзыва
4 ч
Learn how to create queries for analytics and data engineering with window functions, the SQL secret weapon!

Курс

Intermediate R

БазовыйУровень навыков
4.8+
957 отзывов
6 ч
Continue your journey to becoming an R ninja by learning about conditional statements, loops, and vector functions.

Курс

Introduction to Java

БазовыйУровень навыков
4.8+
1 986 отзывов
4 ч
Learn Java from the ground up with this beginner-friendly course, mastering essential programming concepts and skills.

Курс

Data Structures and Algorithms in Python

Продвинутый уровеньУровень навыков
4.7+
1 129 отзывов
4 ч
Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!

Курс

Python Toolbox

БазовыйУровень навыков
4.8+
1 230 отзывов
4 ч
Continue to build your modern Data Science skills by learning about iterators and list comprehensions.

Курс

Introduction to APIs in Python

Средний уровеньУровень навыков
4.8+
3 835 отзывов
2 ч
Dive into the exciting world of APIs as we introduce you to the basics of consuming and working with Web APIs using Python.

Курс

Introduction to Functions in Python

БазовыйУровень навыков
4.8+
1 248 отзывов
3 ч
Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.

Курс

Software Development with Claude Code

Средний уровеньУровень навыков
4.8+
235 отзывов
4 ч
Claude Code brings AI assistance to your terminal. Learn the workflows that turn it into a reliable tool for real software development.

Курс

Introduction to Docker

Средний уровеньУровень навыков
4.7+
2 611 отзывов
4 ч
Gain an introduction to Docker and discover its importance in the data professional’s toolkit. Learn about Docker containers, images, and more.

Курс

Introduction to Shell

БазовыйУровень навыков
4.8+
3 450 отзывов
4 ч
The Unix command line helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds.

Курс

Software Engineering Principles in Python

БазовыйУровень навыков
4.7+
680 отзывов
4 ч
Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.

Курс

Introduction to Data Science in Python

БазовыйУровень навыков
4.8+
467 отзывов
4 ч
Dive into data science using Python and learn how to effectively analyze and visualize your data. No coding experience or skills needed.

Курс

Writing Efficient Python Code

Средний уровеньУровень навыков
4.8+
2 388 отзывов
4 ч
Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.

Курс

Introduction to SQL Server

БазовыйУровень навыков
4.8+
389 отзывов
4 ч
Learn to use SQL Server to perform common data manipulation tasks and master common data manipulation tasks using this database system.

Курс

Writing Functions in Python

Средний уровеньУровень навыков
4.8+
2 644 отзыва
4 ч
Learn to use best practices to write maintainable, reusable, complex functions with good documentation.

Курс

Введение в FastAPI

Средний уровеньУровень навыков
4.7+
1 486 отзывов
4 ч
Создавайте надежные production-grade API с FastAPI, осваивая HTTP-операции, валидацию и async execution для эффективных data и ML pipelines.

Курс

Containerization and Virtualization Concepts

Средний уровеньУровень навыков
4.8+
2 525 отзывов
2 ч
Learn the essentials of VMs, containers, Docker, and Kubernetes. Understand the differences to get started!

Курс

Intermediate GitHub Concepts

Средний уровеньУровень навыков
4.7+
2 011 отзывов
3 ч
Level up your GitHub skills with our intermediate course on GitHub Projects, Administration, and advanced security features.

Курс

Data Types in Python

Средний уровеньУровень навыков
4.8+
498 отзывов
4 ч
Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.

Связанные ресурсы по теме Programming

блог

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 мин

блог

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 мин

Учебное руководство

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 мин

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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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    Успевайте в обучении на ходу с помощью наших мобильных курсов и ежедневных 5-минутных заданий по программированию.