You’ll build a modern web application that combines a personal portfolio site with an interactive AI assistant. The project covers both frontend and backend development, including routing, layout and forms. You’ll also learn how to connect to the OpenAI API and create a chat interface powered by AI. By the end, you’ll have a functional site that’s both professional and smart.

This project empowers you to analyze marketing campaign data, evaluate communication effectiveness, and apply statistical methods for data-driven recommendations.

In this course, we will explore the basics of Pandas – a powerful Python library for organizing, manipulating and analyzing data. Each concept will be explained through short and clear video lessons, followed by fun and practical microtasks, which are designed to help you understand the syntax and remember how to use different features and functions in Pandas with confidence.

Dive into intensive SQL Bootcamp! Upgrade your skills in creating queries. A lot of practice, different tasks, and a huge database - learn how to manipulate data with SQL!

We invite you to become a hero in saving Australia from floods by predicting whether it will rain tomorrow!

Like football? Good! Here we will try to predict Release clause of your favourite football players using the data from Fifa 2019!

Build a predictive model to identify potable water using chemical measurements, evaluating model performance and feature importance for decision support.

Explore how machine learning can reveal key chemical traits that distinguish high-quality red wines using real-world data.

Here we will briefly describe all the courses on the track and consider how you can apply the gained knowledge in practice.

Preprocessing Data is an important step in the process of analyzing data and ML problem-solving. Preparing, cleaning, and scaling data can help to make the process easier and faster. Data preprocessing is a vast area: there are various methods and approaches, and in this course, you'll learn the main ones.

Principal component analysis is one of the most popular data dimensionality reduction algorithms. This course will help to understand how to create PCA models and analyze the results. Let's start!

We meet probability every day but do not even recognize it! This course will introduce you to the basic terms. We will combine math and programming learning with real-life examples.

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Product Management Foundations offers a practical introduction to the core principles, tools, and techniques every product manager needs. You'll explore how to define product vision, map user needs, and build roadmaps that align strategy with execution. Through hands-on exercises, you'll learn to create user personas, validate ideas through prototyping, and present your product with clarity and impact. By the end, you'll be equipped to guide a product from concept to pitch with confidence.

Learn the fundamental and advanced concepts needed to work with PyTorch efficiently. Gain a solid understanding tensors, including creation, operations, and reshaping. Explore the essentials of gradients, backpropagation, and linear regression before moving on to handling datasets. Master the skill needed build, train, and evaluate neural networks.