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TEST TRACK 12
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4.0
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Full Stack Web Development 2024
7 Courses386 TasksBeginner
4.5
(54)
track
Only for Ultimate
Become a React Developer 2024
4 Courses52 TasksIntermediate
4.8
(8)
track
Only for Ultimate
Mastering Data Visualization (2023)
5 Courses146 TasksIntermediate
4.1
(11)
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SQL from Zero to Hero 2023
7 Courses248 TasksBeginner
4.6
(114)
Courses & Projects
course
Practical AI for Work
A hands-on, beginner-friendly course designed for non-technical business users to understand and leverage AI tools and concepts in their daily work. The course covers foundational AI concepts, effective communication with AI, practical use of AI-powered tools, and building simple AI assistants.
1 hour
16 chaptersBeginner
14 STUDYING NOW
course
Practical Penetration Testing
A hands-on course guiding learners through the essentials of web application and API penetration testing, from foundational concepts to exploitation techniques and professional reporting. Includes real-world scenarios, practical tasks, and review questions to reinforce learning.
1 hour 12 chaptersBeginner
project
Predict Game Outcomes with a Decision Tree
Build a Decision Tree classifier to predict basketball game outcomes (Win/Loss/Draw) using real match statistics. This hands-on project guides you through the full machine learning workflow: data exploration, preprocessing, model training, evaluation, interpretation, and making predictions.
Only for Ultimate
1 hour 10 chaptersBeginner
project
Predicting Data Scientist Salaries
Build a complete data science workflow to predict dynamic taxi fares using linear regression. Explore, clean, and analyze real-world ride and weather data, engineer features from timestamps, and interpret model results to understand the impact of weather conditions, time of day, and surge pricing mechanisms.
Only for Ultimate
1 hour 6 chaptersBeginner
1 STUDYING NOW
project
Predicting Laptop Prices
A hands-on case study guiding you through building a laptop price prediction model using real-world data. You'll learn to load, clean, and engineer features from a dataset, perform exploratory analysis, encode categorical variables, build a regression model, and interpret its results.
Only for Ultimate
1 hour 7 chaptersBeginner
project
Predicting Viral Webtoons
A hands-on, linear-code case study where you build an end-to-end regression model to predict webcomic popularity using NLP and categorical features, following strict constraints: no custom functions, only vectorized pandas and scikit-learn tools, and a single dataset load.
Only for Ultimate
1 hour 7 chaptersIntermediate
course
Principal Component Analysis in Python
A comprehensive intermediate course guiding learners through the motivation, mathematical foundations, and practical implementation of Principal Component Analysis (PCA) for dimensionality reduction in data science and machine learning.
2 hours 12 chaptersIntermediate
course
Probabilistic Graphical Models Essentials
Master the foundations of probabilistic graphical models (PGMs), including Bayesian networks and Markov random fields. Learn how graph structure encodes independence, build toy models, and understand where PGMs excel in modern machine learning.
1 hour 10 chaptersIntermediate
course
Probability Distributions for Machine Learning
Build strong intuition for probability distributions central to machine learning. Explore the exponential family, Gaussian, Bernoulli, and Multinomial distributions, and understand their roles in modeling, loss functions, and inference, with minimal code and clear visualizations.
3 hours 15 chaptersAdvanced
project
Procedural Fantasy Map Generator
Build a beginner-friendly Python terminal project that generates a simple fantasy map using procedural generation and text symbols. Each run produces a unique map layout with water, plains, forests, mountains, and villages, all displayed in the terminal.
Only for Ultimate
1 hour 9 chaptersBeginner
project
Product Recommendation Engine
1 hour 0 chapterBeginner
course
Productivity Tools for Data Scientists
Master practical habits and tools to organize, automate, document, and reproduce your data science work. Learn to use Jupyter notebooks effectively, automate repetitive tasks, document your process, and ensure your analyses are always reproducible.
2 hours 12 chaptersIntermediate
course
Programming for Motion Designers
Discover how programming can empower motion designers to automate, enhance, and innovate their creative workflows. This course introduces Python programming concepts and demonstrates their practical applications in motion design, from automating repetitive tasks to generating dynamic visuals and analyzing animation data.
3 hours 15 chaptersAdvanced
course
Prompt Engineering Basics
A beginner-friendly, fully theoretical course introducing the core concepts and practical strategies of prompt engineering for large language models (LLMs). Learn how to structure, refine, and optimize prompts to achieve better AI-generated results.
1 hour 9 chaptersBeginner
course
Prompt Engineering for Work
Knowing how to talk to AI is the single most transferable skill in 2026. This course goes beyond the basics — teaching you how prompts actually work, what techniques produce reliable results, and how to apply them across the real tasks professionals face every day. From emails and reports to data analysis, brainstorming, and code, you'll leave with a practical prompt toolkit you can use immediately.
2 hours 21 chaptersBeginner
1 STUDYING NOW
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Unsure where
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Career tracks
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Only for UltimateTEST TRACK 12
1 Course1 Project0 TaskBeginner
4.0
(21092)
track
Only for UltimateFull Stack Web Development 2024
7 Courses386 TasksBeginner
4.5
(54)
track
Only for UltimateBecome a React Developer 2024
4 Courses52 TasksIntermediate
4.8
(8)
track
Only for UltimateMastering Data Visualization (2023)
5 Courses146 TasksIntermediate
4.1
(11)
track
Only for UltimateSQL from Zero to Hero 2023
7 Courses248 TasksBeginner
4.6
(114)
track
Only for Ultimate
TEST TRACK 12
1 Course1 Project0 Task 4.0
track
Only for Ultimate
Full Stack Web Development 2024
7 Courses386 Tasks 4.5
track
Only for Ultimate
Become a React Developer 2024
4 Courses52 Tasks 4.8
track
Only for Ultimate
Mastering Data Visualization (2023)
5 Courses146 Tasks 4.1
track
Only for Ultimate
SQL from Zero to Hero 2023
7 Courses248 Tasks 4.6
Courses & Projects
Technologies
course
Practical AI for Work
A hands-on, beginner-friendly course designed for non-technical business users to understand and leverage AI tools and concepts in their daily work. The course covers foundational AI concepts, effective communication with AI, practical use of AI-powered tools, and building simple AI assistants.
1 hour 16 chaptersBeginner
14 STUDYING NOW
course
Practical Penetration Testing
A hands-on course guiding learners through the essentials of web application and API penetration testing, from foundational concepts to exploitation techniques and professional reporting. Includes real-world scenarios, practical tasks, and review questions to reinforce learning.
1 hour 12 chaptersBeginner
project
Predict Game Outcomes with a Decision Tree
Build a Decision Tree classifier to predict basketball game outcomes (Win/Loss/Draw) using real match statistics. This hands-on project guides you through the full machine learning workflow: data exploration, preprocessing, model training, evaluation, interpretation, and making predictions.
Only for Ultimate
1 hour 10 chaptersBeginner
project
Predicting Data Scientist Salaries
Build a complete data science workflow to predict dynamic taxi fares using linear regression. Explore, clean, and analyze real-world ride and weather data, engineer features from timestamps, and interpret model results to understand the impact of weather conditions, time of day, and surge pricing mechanisms.
Only for Ultimate
1 hour 6 chaptersBeginner
1 STUDYING NOW
project
Predicting Laptop Prices
A hands-on case study guiding you through building a laptop price prediction model using real-world data. You'll learn to load, clean, and engineer features from a dataset, perform exploratory analysis, encode categorical variables, build a regression model, and interpret its results.
Only for Ultimate
1 hour 7 chaptersBeginner
project
Predicting Viral Webtoons
A hands-on, linear-code case study where you build an end-to-end regression model to predict webcomic popularity using NLP and categorical features, following strict constraints: no custom functions, only vectorized pandas and scikit-learn tools, and a single dataset load.
Only for Ultimate
1 hour 7 chaptersIntermediate
course
Principal Component Analysis in Python
A comprehensive intermediate course guiding learners through the motivation, mathematical foundations, and practical implementation of Principal Component Analysis (PCA) for dimensionality reduction in data science and machine learning.
2 hours 12 chaptersIntermediate
course
Probabilistic Graphical Models Essentials
Master the foundations of probabilistic graphical models (PGMs), including Bayesian networks and Markov random fields. Learn how graph structure encodes independence, build toy models, and understand where PGMs excel in modern machine learning.
1 hour 10 chaptersIntermediate
course
Probability Distributions for Machine Learning
Build strong intuition for probability distributions central to machine learning. Explore the exponential family, Gaussian, Bernoulli, and Multinomial distributions, and understand their roles in modeling, loss functions, and inference, with minimal code and clear visualizations.
3 hours 15 chaptersAdvanced
project
Procedural Fantasy Map Generator
Build a beginner-friendly Python terminal project that generates a simple fantasy map using procedural generation and text symbols. Each run produces a unique map layout with water, plains, forests, mountains, and villages, all displayed in the terminal.
Only for Ultimate
1 hour 9 chaptersBeginner
project
Product Recommendation Engine
1 hour 0 chapterBeginner
course
Productivity Tools for Data Scientists
Master practical habits and tools to organize, automate, document, and reproduce your data science work. Learn to use Jupyter notebooks effectively, automate repetitive tasks, document your process, and ensure your analyses are always reproducible.
2 hours 12 chaptersIntermediate
course
Programming for Motion Designers
Discover how programming can empower motion designers to automate, enhance, and innovate their creative workflows. This course introduces Python programming concepts and demonstrates their practical applications in motion design, from automating repetitive tasks to generating dynamic visuals and analyzing animation data.
3 hours 15 chaptersAdvanced
course
Prompt Engineering Basics
A beginner-friendly, fully theoretical course introducing the core concepts and practical strategies of prompt engineering for large language models (LLMs). Learn how to structure, refine, and optimize prompts to achieve better AI-generated results.
1 hour 9 chaptersBeginner
course
Prompt Engineering for Work
Knowing how to talk to AI is the single most transferable skill in 2026. This course goes beyond the basics — teaching you how prompts actually work, what techniques produce reliable results, and how to apply them across the real tasks professionals face every day. From emails and reports to data analysis, brainstorming, and code, you'll leave with a practical prompt toolkit you can use immediately.
2 hours 21 chaptersBeginner
1 STUDYING NOW
course
Practical AI for Work
A hands-on, beginner-friendly course designed for non-technical business users to understand and leverage AI tools and concepts in their daily work. The course covers foundational AI concepts, effective communication with AI, practical use of AI-powered tools, and building simple AI assistants.
1 hour 16 chaptersBeginner
14 STUDYING NOW
course
Practical Penetration Testing
A hands-on course guiding learners through the essentials of web application and API penetration testing, from foundational concepts to exploitation techniques and professional reporting. Includes real-world scenarios, practical tasks, and review questions to reinforce learning.
1 hour 12 chaptersBeginner
project
Predict Game Outcomes with a Decision Tree
Build a Decision Tree classifier to predict basketball game outcomes (Win/Loss/Draw) using real match statistics. This hands-on project guides you through the full machine learning workflow: data exploration, preprocessing, model training, evaluation, interpretation, and making predictions.
Only for Ultimate
1 hour 10 chaptersBeginner
project
Predicting Data Scientist Salaries
Build a complete data science workflow to predict dynamic taxi fares using linear regression. Explore, clean, and analyze real-world ride and weather data, engineer features from timestamps, and interpret model results to understand the impact of weather conditions, time of day, and surge pricing mechanisms.
Only for Ultimate
1 hour 6 chaptersBeginner
1 STUDYING NOW
project
Predicting Laptop Prices
A hands-on case study guiding you through building a laptop price prediction model using real-world data. You'll learn to load, clean, and engineer features from a dataset, perform exploratory analysis, encode categorical variables, build a regression model, and interpret its results.
Only for Ultimate
1 hour 7 chaptersBeginner
project
Predicting Viral Webtoons
A hands-on, linear-code case study where you build an end-to-end regression model to predict webcomic popularity using NLP and categorical features, following strict constraints: no custom functions, only vectorized pandas and scikit-learn tools, and a single dataset load.
Only for Ultimate
1 hour 7 chaptersIntermediate
course
Principal Component Analysis in Python
A comprehensive intermediate course guiding learners through the motivation, mathematical foundations, and practical implementation of Principal Component Analysis (PCA) for dimensionality reduction in data science and machine learning.
2 hours 12 chaptersIntermediate
course
Probabilistic Graphical Models Essentials
Master the foundations of probabilistic graphical models (PGMs), including Bayesian networks and Markov random fields. Learn how graph structure encodes independence, build toy models, and understand where PGMs excel in modern machine learning.
1 hour 10 chaptersIntermediate
course
Probability Distributions for Machine Learning
Build strong intuition for probability distributions central to machine learning. Explore the exponential family, Gaussian, Bernoulli, and Multinomial distributions, and understand their roles in modeling, loss functions, and inference, with minimal code and clear visualizations.
3 hours 15 chaptersAdvanced
project
Procedural Fantasy Map Generator
Build a beginner-friendly Python terminal project that generates a simple fantasy map using procedural generation and text symbols. Each run produces a unique map layout with water, plains, forests, mountains, and villages, all displayed in the terminal.
Only for Ultimate
1 hour 9 chaptersBeginner
project
Product Recommendation Engine
1 hour 0 chapterBeginner
course
Productivity Tools for Data Scientists
Master practical habits and tools to organize, automate, document, and reproduce your data science work. Learn to use Jupyter notebooks effectively, automate repetitive tasks, document your process, and ensure your analyses are always reproducible.
2 hours 12 chaptersIntermediate
course
Programming for Motion Designers
Discover how programming can empower motion designers to automate, enhance, and innovate their creative workflows. This course introduces Python programming concepts and demonstrates their practical applications in motion design, from automating repetitive tasks to generating dynamic visuals and analyzing animation data.
3 hours 15 chaptersAdvanced
course
Prompt Engineering Basics
A beginner-friendly, fully theoretical course introducing the core concepts and practical strategies of prompt engineering for large language models (LLMs). Learn how to structure, refine, and optimize prompts to achieve better AI-generated results.
1 hour 9 chaptersBeginner
course
Prompt Engineering for Work
Knowing how to talk to AI is the single most transferable skill in 2026. This course goes beyond the basics — teaching you how prompts actually work, what techniques produce reliable results, and how to apply them across the real tasks professionals face every day. From emails and reports to data analysis, brainstorming, and code, you'll leave with a practical prompt toolkit you can use immediately.
2 hours 21 chaptersBeginner
1 STUDYING NOW
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