Python is an interpreted high-level, general-purpose programming language, which means it can be used in different spheres of human activity (unlike HTML, CSS, and JavaScript, which are mainly used in web development). Python can be used in software developing, data science, back-end development, etc. In this mobile-friendly version of the course, you will meet with the main aspects of Python.

In this course, we will learn how to use the JavaScript React library for making front-end applications. This course will help you understand the structure of a React application, how to add it to an existing website, and how to set up a React app from scratch. You will learn how to easily create React applications and expand them further for more advanced purposes. This course is intended for beginners though basic knowledge of JavaScript is required.

In this course, the user will learn how to use Redux and React to create powerful applications.

Reinforcement Learning (RL) is a powerful branch of machine learning focused on training intelligent agents through interaction with their environment. In this course, you'll learn how agents gradually discover effective behaviors through trial and error. Beginning with core concepts like Markov decision processes and multi-armed bandits, you'll work your way through dynamic programming, Monte Carlo methods, and temporal difference learning.

This course offers an easy-to-follow introduction to the basics of SQL databases and the Structured Query Language (SQL). Through engaging video lessons and thoughtfully crafted exercises, you’ll explore essential concepts step by step. Each topic is explained in detail and paired with hands-on practice to ensure you not only understand but also retain what you’ve learned.

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Learn to harness Stream API in Java for efficient and elegant data processing. Explore its architecture, key principles, and functional interfaces, along with powerful operations like filtering, mapping, sorting, and collecting results. Discover advanced techniques for performance optimization, error handling, and parallel processing to apply Stream API effectively in real-world scenarios.

This course is designed to teach you the very basics of pandas - a must-have Python library for every data analyst or data scientist (and not only). You will start from defining the basic objects, learn how to read data from files, and how to manipulate and aggregate loaded data.

Coding with AI is a hands-on course designed for professionals eager to enhance their everyday work processes without delving into full-scale programming. This course equips you with practical coding techniques and AI tools to automate repetitive tasks, seamlessly convert and organize documents, and perform advanced data analysis. Learn how to create dynamic reports from CSV files, extract critical information from PDFs, auto-categorize files, and even integrate live data feeds like currency updates—all through intuitive, step-by-step projects. With real-world examples and a focus on immediate applicability, Coding with AI empowers you to boost productivity and make smarter decisions with minimal technical background.

This course guides you through analyzing real-world health data to uncover key diabetes risk factors and inform targeted public health interventions.

This project introduces core techniques in environmental data analysis, focusing on sensor data cleaning, descriptive statistics, and short-term air quality trends.

In this project, we study a dataset in which the external characteristics of mushrooms are presented, and with their help, we will predict whether the mushroom is poisonous

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