Python for Beginners

Python for Beginners

Colleagues discuss Python coding on a computer screen

Learn how Python is used in practice to solve problems and structure code. Get a safe introduction to programming with concrete examples as a beginner.

Colleagues discuss Python coding on a computer screen

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Python for Beginners

Python is a widely used programming language that is used in web development, data analysis, and automation, among other things. In this course, you will get a practical introduction to how Python works, with a focus on those who do not have previous experience.

You will learn to write simple code, understand how programs are structured, and how you can use Python to solve specific tasks. Along the way, you will work with key concepts such as variables, data types and control structures, and gradually get a better overview of how code works in practice.

Through practical examples, you will develop a basic understanding that makes it possible to use Python in your own projects.

What you will learn in the course

  • write and understand simple Python code
  • Use variables, data types, and control structures such as conditions and loops
  • Work with data structures such as lists, dictionaries, and tuples
  • create functions and use modules in your own programs
  • use Python to solve practical tasks and problems

About the course

Read about how the course is structured and what you can do after completing the course.
How the course is structured

The course is divided into several parts and gives you a gradual introduction to Python – from the most basic concepts to more complex tasks. Along the way, you will work on practical examples that make it easier to understand how the language is used in practice.

You start with an introduction to Python and get started with the first programs. Next, you'll learn how to work with numbers, variables, and text, before moving on to logic and control flow through conditions and loops.

Furthermore, you will gain experience with central data structures such as lists, dictionaries, tuples and sets, and how these are used to organize and manage data. You will also learn how to write your own functions, work with parameters and structure the code so that it is reusable.

In the last parts of the course, you will work on error handling and how you can use and import modules to extend the functionality. The course also includes practical exercises that give you the opportunity to apply what you have learned, before it ends with a summary and the way forward.

Learning outcome

Through the course, you will develop a basic understanding of Python and how the language is used to solve problems. You will learn how to create and use variables, work with text and numbers, and use control structures such as conditions and loops to control the flow of the program.

You'll gain experience organizing data using lists, dictionaries, tuples, and sets, and learn how to write functions to structure and reuse code. In addition, you will gain insight into how to handle errors, and how you can use modules to extend the functionality of your applications.

Through practical assignments, you strengthen your understanding of how Python can be used in practice, and get a good foundation for further learning.

Practical information

  • The course is 100% online and can be taken at your own pace when it suits you. Estimated completion time is approx. 8 hours and 12 minutes, but will depend on how much you work on tasks along the way
  • No prior knowledge required
  • You get access within two working days and have perpetual access to the course. This gives you the opportunity to repeat and update the knowledge when you need it, whether it's months or years later
  • You will receive a course certificate after completing the course
  • Registration is binding, and the full course fee must be paid upon cancellation.
  • The course has been developed by Utdannet.no

Magnus Øye

Course instructor Magnus Kvendseth Øye is a dedicated and skilled senior software engineer at Capgemini, with a solid background in technical management and solution architecture. His specialties include clean and event-driven architecture and microservices, making him an expert in developing innovative, scalable, and maintainable systems that meet business needs effectively.

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