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SQL from Zero to Hero

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С++ Essentials

laptop6 Courses
list124 Tasks

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4.3
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Game Development with Unity

laptop4 Courses
list164 Tasks

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Become a React Developer

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list73 Tasks

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Full Stack Web Development

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Courses & Projects

project

Predicting Potable Water Quality

Predicting Potable Water Quality

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

project

Predicting Red Wine Quality with Machine Learning

Predicting Red Wine Quality with Machine Learning

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

project

Uncovering Aviation Accident Risk Patterns

Uncovering Aviation Accident Risk Patterns

This project develops your ability to analyze aviation incident data, uncover risk patterns, and communicate key safety insights using real-world datasets.

project

Uncovering Netflix Trends

Uncovering Netflix Trends

In this project, you'll analyze Netflix's content catalog to uncover genre trends, optimal content durations, and acquisition strategies for competitive benchmarking.

project

Unlocking Book Publishing Success with Data

Unlocking Book Publishing Success with Data

Explore data-driven strategies for book publishing success by analyzing authorship trends, publication timing, and the relationship between book length and ratings.

course

API Gateway in Spring Boot

API Gateway in Spring Boot

A beginner-friendly course introducing the fundamentals of API Gateways and their practical implementation using Spring Boot. Learn the basics, explore routing, filters, security, and request handling in a clear and simple way.

course

Active Learning with Python

Active Learning with Python

Explore the principles and practical techniques of Active Learning to maximize label efficiency in machine learning workflows. Learn the core concepts, sampling strategies, and hands-on iterative simulations using Python and scikit-learn.

project

Analyzing Book Popularity

Analyzing Book Popularity

A hands-on project guiding learners through data cleaning, feature engineering, and exploratory data analysis (EDA) to uncover what makes a book popular in a book exchange community. Learners will work with a real-world dataset, applying practical Python and pandas skills, and visualizing insights with seaborn.

project

Analyzing Social Influences on High School Performance (SHORT)

Analyzing Social Influences on High School Performance (SHORT)

Explore how romantic relationships may impact academic performance differently for male and female students using statistical analysis and visualization.

project

Animal Crossing Villager Personality Clustering & Dialogue Style Analysis

Animal Crossing Villager Personality Clustering & Dialogue Style Analysis

A hands-on guided project using the Animal Crossing: New Horizons villager dataset to explore feature engineering, clustering, and basic NLP for uncovering hidden personality archetypes and analyzing dialogue styles.

course

Animations in React with Framer Motion

Animations in React with Framer Motion

Master UI animation techniques in React using Framer Motion. Build animated components, control motion through state and variants, implement interactive gestures, and optimize animations for performance and accessibility. Apply animation patterns that scale across real application interfaces and navigation flows.

course

Applied Hypothesis Testing & A/B Testing

Applied Hypothesis Testing & A/B Testing

Master the principles and practical application of hypothesis testing and A/B testing. Learn statistical tests, experiment design, data preparation, and analysis techniques using Python to make data-driven decisions in real-world scenarios.

course

Attention Mechanisms Theory

Attention Mechanisms Theory

A fully theoretical, architecture-focused exploration of attention mechanisms in modern neural networks. This course provides deep conceptual understanding of how attention works, its inductive biases, scaling properties, and fundamental limitations.

course

Autoencoders and Representation Learning

Autoencoders and Representation Learning

A comprehensive, theory-driven exploration of autoencoders and representation learning, covering foundational concepts, key autoencoder variants, mathematical underpinnings, and practical interpretability insights. This course is designed for learners seeking a deep conceptual understanding of autoencoders, their architectures, and their role in modern machine learning.

course

Axios for React Applications

Axios for React Applications

Learn how to integrate Axios into React applications for reliable data fetching and API communication. Practice performing HTTP requests, handling responses and errors, configuring Axios globally, and managing requests efficiently. Gain practical experience structuring API logic for scalable and maintainable React projects.
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Career tracks

track
lockOnly for Ultimate
track image

SQL from Zero to Hero

laptop7 Courses
list248 Tasks

Beginner

4.7
(4048)
track
lockOnly for Ultimate
track image

С++ Essentials

laptop6 Courses
list124 Tasks

Beginner

4.3
(1321)
track
lockOnly for Ultimate
track image

Game Development with Unity

laptop4 Courses
list164 Tasks

Beginner

4.4
(296)
track
lockOnly for Ultimate
track image

Become a React Developer

laptop4 Courses
list73 Tasks

Intermediate

4.3
(124)
track
lockOnly for Ultimate
track image

Full Stack Web Development

laptop7 Courses
list386 Tasks

Beginner

4.6
(1481)
track
track image
For Ultimate

Only for Ultimate

SQL from Zero to Hero

laptop7 Courses
list248 Tasks
4.7
track
track image
For Ultimate

Only for Ultimate

С++ Essentials

laptop6 Courses
list124 Tasks
4.3
track
track image
For Ultimate

Only for Ultimate

Game Development with Unity

laptop4 Courses
list164 Tasks
4.4
track
track image
For Ultimate

Only for Ultimate

Become a React Developer

laptop4 Courses
list73 Tasks
4.3
track
track image
For Ultimate

Only for Ultimate

Full Stack Web Development

laptop7 Courses
list386 Tasks
4.6
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Courses & Projects

Technologies

project

Predicting Potable Water Quality

Predicting Potable Water Quality

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

project

Predicting Red Wine Quality with Machine Learning

Predicting Red Wine Quality with Machine Learning

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

project

Uncovering Aviation Accident Risk Patterns

Uncovering Aviation Accident Risk Patterns

This project develops your ability to analyze aviation incident data, uncover risk patterns, and communicate key safety insights using real-world datasets.

project

Uncovering Netflix Trends

Uncovering Netflix Trends

In this project, you'll analyze Netflix's content catalog to uncover genre trends, optimal content durations, and acquisition strategies for competitive benchmarking.

project

Unlocking Book Publishing Success with Data

Unlocking Book Publishing Success with Data

Explore data-driven strategies for book publishing success by analyzing authorship trends, publication timing, and the relationship between book length and ratings.

course

API Gateway in Spring Boot

API Gateway in Spring Boot

A beginner-friendly course introducing the fundamentals of API Gateways and their practical implementation using Spring Boot. Learn the basics, explore routing, filters, security, and request handling in a clear and simple way.

course

Active Learning with Python

Active Learning with Python

Explore the principles and practical techniques of Active Learning to maximize label efficiency in machine learning workflows. Learn the core concepts, sampling strategies, and hands-on iterative simulations using Python and scikit-learn.

project

Analyzing Book Popularity

Analyzing Book Popularity

A hands-on project guiding learners through data cleaning, feature engineering, and exploratory data analysis (EDA) to uncover what makes a book popular in a book exchange community. Learners will work with a real-world dataset, applying practical Python and pandas skills, and visualizing insights with seaborn.

project

Analyzing Social Influences on High School Performance (SHORT)

Analyzing Social Influences on High School Performance (SHORT)

Explore how romantic relationships may impact academic performance differently for male and female students using statistical analysis and visualization.

project

Animal Crossing Villager Personality Clustering & Dialogue Style Analysis

Animal Crossing Villager Personality Clustering & Dialogue Style Analysis

A hands-on guided project using the Animal Crossing: New Horizons villager dataset to explore feature engineering, clustering, and basic NLP for uncovering hidden personality archetypes and analyzing dialogue styles.

course

Animations in React with Framer Motion

Animations in React with Framer Motion

Master UI animation techniques in React using Framer Motion. Build animated components, control motion through state and variants, implement interactive gestures, and optimize animations for performance and accessibility. Apply animation patterns that scale across real application interfaces and navigation flows.

course

Applied Hypothesis Testing & A/B Testing

Applied Hypothesis Testing & A/B Testing

Master the principles and practical application of hypothesis testing and A/B testing. Learn statistical tests, experiment design, data preparation, and analysis techniques using Python to make data-driven decisions in real-world scenarios.

course

Attention Mechanisms Theory

Attention Mechanisms Theory

A fully theoretical, architecture-focused exploration of attention mechanisms in modern neural networks. This course provides deep conceptual understanding of how attention works, its inductive biases, scaling properties, and fundamental limitations.

course

Autoencoders and Representation Learning

Autoencoders and Representation Learning

A comprehensive, theory-driven exploration of autoencoders and representation learning, covering foundational concepts, key autoencoder variants, mathematical underpinnings, and practical interpretability insights. This course is designed for learners seeking a deep conceptual understanding of autoencoders, their architectures, and their role in modern machine learning.

course

Axios for React Applications

Axios for React Applications

Learn how to integrate Axios into React applications for reliable data fetching and API communication. Practice performing HTTP requests, handling responses and errors, configuring Axios globally, and managing requests efficiently. Gain practical experience structuring API logic for scalable and maintainable React projects.

project

Predicting Potable Water Quality

Predicting Potable Water Quality

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

project

Predicting Red Wine Quality with Machine Learning

Predicting Red Wine Quality with Machine Learning

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

project

Uncovering Aviation Accident Risk Patterns

Uncovering Aviation Accident Risk Patterns

This project develops your ability to analyze aviation incident data, uncover risk patterns, and communicate key safety insights using real-world datasets.

project

Uncovering Netflix Trends

Uncovering Netflix Trends

In this project, you'll analyze Netflix's content catalog to uncover genre trends, optimal content durations, and acquisition strategies for competitive benchmarking.

project

Unlocking Book Publishing Success with Data

Unlocking Book Publishing Success with Data

Explore data-driven strategies for book publishing success by analyzing authorship trends, publication timing, and the relationship between book length and ratings.

course

API Gateway in Spring Boot

API Gateway in Spring Boot

A beginner-friendly course introducing the fundamentals of API Gateways and their practical implementation using Spring Boot. Learn the basics, explore routing, filters, security, and request handling in a clear and simple way.

course

Active Learning with Python

Active Learning with Python

Explore the principles and practical techniques of Active Learning to maximize label efficiency in machine learning workflows. Learn the core concepts, sampling strategies, and hands-on iterative simulations using Python and scikit-learn.

project

Analyzing Book Popularity

Analyzing Book Popularity

A hands-on project guiding learners through data cleaning, feature engineering, and exploratory data analysis (EDA) to uncover what makes a book popular in a book exchange community. Learners will work with a real-world dataset, applying practical Python and pandas skills, and visualizing insights with seaborn.

project

Analyzing Social Influences on High School Performance (SHORT)

Analyzing Social Influences on High School Performance (SHORT)

Explore how romantic relationships may impact academic performance differently for male and female students using statistical analysis and visualization.

project

Animal Crossing Villager Personality Clustering & Dialogue Style Analysis

Animal Crossing Villager Personality Clustering & Dialogue Style Analysis

A hands-on guided project using the Animal Crossing: New Horizons villager dataset to explore feature engineering, clustering, and basic NLP for uncovering hidden personality archetypes and analyzing dialogue styles.

course

Animations in React with Framer Motion

Animations in React with Framer Motion

Master UI animation techniques in React using Framer Motion. Build animated components, control motion through state and variants, implement interactive gestures, and optimize animations for performance and accessibility. Apply animation patterns that scale across real application interfaces and navigation flows.

course

Applied Hypothesis Testing & A/B Testing

Applied Hypothesis Testing & A/B Testing

Master the principles and practical application of hypothesis testing and A/B testing. Learn statistical tests, experiment design, data preparation, and analysis techniques using Python to make data-driven decisions in real-world scenarios.

course

Attention Mechanisms Theory

Attention Mechanisms Theory

A fully theoretical, architecture-focused exploration of attention mechanisms in modern neural networks. This course provides deep conceptual understanding of how attention works, its inductive biases, scaling properties, and fundamental limitations.

course

Autoencoders and Representation Learning

Autoencoders and Representation Learning

A comprehensive, theory-driven exploration of autoencoders and representation learning, covering foundational concepts, key autoencoder variants, mathematical underpinnings, and practical interpretability insights. This course is designed for learners seeking a deep conceptual understanding of autoencoders, their architectures, and their role in modern machine learning.

course

Axios for React Applications

Axios for React Applications

Learn how to integrate Axios into React applications for reliable data fetching and API communication. Practice performing HTTP requests, handling responses and errors, configuring Axios globally, and managing requests efficiently. Gain practical experience structuring API logic for scalable and maintainable React projects.
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