Data Science
Hyperskill
Introduction to Data Science
Acquire essential skills in statistics and machine learning. Focus on data preprocessing, analysis, visualization, hypothesis testing, and machine learning model building.
In-IDE learning
Python Libraries - NumPy
This is an introductory course by JetBrains Academy about the most popular Python library - NumPy. It will be most beneficial for learners with some basic Python...
In-IDE learning
Machine Learning 101
This is an introductory Machine Learning course. Machine Learning 101 (Introduction to Machine Learning) is currently in an early access state. The materials will be...
Hyperskill
Databases with SQL and Python
Explore the world of SQL and its role in retrieving, storing, and processing data, empowering you to make informed decisions and drive impactful insights.
In-IDE learning
Gateway to Pandas
This is an introductory course about one of the most popular Python library - Pandas. - The course will be most beneficial for learners with some Python skills. - The...
Hyperskill
Pandas for Data Analysis
Become a data analysis expert with Pandas! Learn how to use Pandas for data manipulation, analysis, and insight extraction.
In-IDE learning
Reinforcement Learning Maze Solver
This is an introductory Reinforcement Learning tutorial by JetBrains Academy demonstrating the approach on a simple task of solving a labyrinth. You will implement a...
In-IDE learning
Machine Learning 101 - RU
This is an introductory Machine Learning course in Russian. The course is currently in an early access state. Курс Machine Learning 101 (Введение в машинное обучение...
Hyperskill
Chatbots with Python
Gain hands-on experience in building AI-driven chatbots and dialogue systems, working with advanced models, and enhancing data representations for effective language understanding.
Hyperskill
Data Scientist
Start your data science career with hands-on projects, mastering advanced concepts in programming, math, and statistics. Perfect for committed, motivated learners.
Hyperskill
MLOps Engineer
Bring the DevOps principles of continuous integration, continuous delivery, and continuous monitoring to the machine learning lifecycle by integrating MLOps in your pipeline. Learn essential concepts for effectively deploying and managing machine learning models in production environment.