In the Python Basics blended learning course, you’ll learn the fundamentals of Python, one of the most widely used programming languages for data analysis, automation, GIS, and software development. You’ll be introduced to the most important programming concepts and learn, step by step, how to write your own Python scripts.
Python is one of the most widely used programming languages in the world. The language is frequently used for data analysis, automation, GIS, artificial intelligence, and software development. This makes Python a valuable skill for anyone who wants to work smarter and more efficiently with data, processes, or digital applications.
In this blended learning course, you’ll be introduced step by step to the basics of programming in Python. You’ll learn how Python works, how to write simple scripts, and how to apply common programming concepts—such as variables, data types, conditionals, loops, functions, and data processing.
The course is suitable for beginners with no programming experience, as well as for professionals who want to learn to use Python in their daily work. Thanks to its practical structure, you’ll not only learn the theory but also apply Python directly in familiar situations.
In this blended learning course, you’ll learn the fundamentals of Python and develop a solid foundation for writing simple scripts on your own. You’ll start with the basic principles of programming and build your skills step by step.
Among other things, you’ll learn to work with variables, data types, operators, strings, lists, and dictionaries. Next, you’ll work with conditionals and loops, so you can have your programs make decisions and automate repetitive tasks.
After that, you’ll learn how to write functions, use modules, and process simple files. You’ll also gain insight into error messages and learn how to identify and resolve errors in your code. This will help you develop not only technical knowledge but also confidence in working independently with Python.
In short: this course is ideal for anyone who wants to get started with Python and lay a practical foundation for further exploration in data analysis, automation, GIS, or other technical applications.
Blended learning combines independent online learning with hands-on guidance. You’ll have access to online course materials that allow you to learn the basics of Python at your own pace. The theory is clearly explained and supported by practical assignments, so you can immediately apply what you’re learning.
During the guided sessions, you can ask questions, get additional explanations, and work on assignments that relate to real-world scenarios. You’ll learn how to use Python to automate simple tasks, process data, and translate logical steps into code.
By the end of this course, you’ll have a solid foundation in Python. You’ll be able to write simple Python scripts on your own, understand the most important programming concepts, and be well-prepared for advanced courses such as Python for Data Analysis, Python for Automation, or Python Geospatial Development.
You’ll receive 1-on-1 guidance. After signing up, our course coordinator will contact you to schedule your first session.
Do you have questions about the course content? Or are you unsure whether the course aligns with your learning goals or preferences? Would you prefer an in-house or private course? We’d be happy to help.
No, this course was designed specifically for beginners. You'll learn the basics of programming in Python step by step, and you don't need any prior programming experience to get started.
You'll learn how to work with variables, data types, lists, dictionaries, conditionals, loops, and functions. You'll also discover how to write simple Python scripts, process data, and solve common programming problems.
Yes, by the end of the course, you'll be able to automate simple tasks, process data, and write Python scripts on your own. The course provides a solid foundation that can be immediately applied in many different fields.
After completing this course, you will have the basic knowledge needed to move on to specialized topics such as data analysis, automation, web development, machine learning, or geospatial applications using Python.
