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Game Development with Unity
4 Courses
214 TasksBeginner
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Video Production with Adobe
4 Courses123 TasksBeginner
5.0
(15)
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UI/UX Design Tools
4 Courses161 TasksBeginner
4.6
(34)
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Essential Office Skills
3 Courses75 TasksBeginner
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(1022)
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Business AI Toolkit
3 Courses42 TasksBeginner
4.1
(122)
Courses & Projects
project
Predicting Potable Water Quality
Build a predictive model to identify potable water using chemical measurements, evaluating model performance and feature importance for decision support.
1 hour
0 chapterIntermediate
ENVIRONMENT
project
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.
1 hour 0 chapterIntermediate
MARKETING & SALES
project
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.
1 hour 0 chapterBeginner
TRANSPORTATION & MOBILITY
project
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.
1 hour 0 chapterBeginner
SPORTS & MEDIA
project
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.
1 hour 0 chapterBeginner
SPORTS & MEDIA
course
AI Agents for Non-Technical Users
A practical, non-technical introduction to AI agents, focusing on real-world tools and workflows for everyday productivity, safety, and control. Learn how to set up, use, and trust AI agents in your daily work without coding.
1 hour 16 chaptersBeginner
1 STUDYING NOW
course
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.
1 hour 10 chaptersIntermediate
project
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.
Only for Ultimate
1 hour 7 chaptersBeginner
project
Analyzing Department Revenue
A hands-on project for professional developers to analyze and merge departmental performance and structure data using pandas. Learn to load, inspect, clean, filter, merge, and aggregate real-world datasets with persistent variables across chapters.
Only for Ultimate
1 hour 7 chaptersIntermediate
project
Animal Crossing Villager Personality Clustering
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.
Only for Ultimate
1 hour 6 chaptersIntermediate
course
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.
1 hour 13 chaptersBeginner
project
Anime Recommendation System
Build a content-based recommendation engine for anime using pandas and scikit-learn, focusing on feature engineering, EDA for hidden gems, similarity-based recommendations, and insightful visualizations – all without defining custom functions.
Only for Ultimate
1 hour 6 chaptersBeginner
course
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.
2 hours 9 chaptersAdvanced
course
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.
3 hours 17 chaptersAdvanced
course
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.
1 hour 10 chaptersIntermediate
Sorry... We can't find
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Unsure where
to begin?
Career tracks
track
Only for UltimateGame Development with Unity
4 Courses214 TasksBeginner
4.4
(363)
track
Only for UltimateVideo Production with Adobe
4 Courses123 TasksBeginner
5.0
(15)
track
Only for UltimateUI/UX Design Tools
4 Courses161 TasksBeginner
4.6
(34)
track
Only for UltimateEssential Office Skills
3 Courses75 TasksBeginner
4.5
(1022)
track
Only for UltimateBusiness AI Toolkit
3 Courses42 TasksBeginner
4.1
(122)
track
Only for Ultimate
Game Development with Unity
4 Courses214 Tasks 4.4
track
Only for Ultimate
Video Production with Adobe
4 Courses123 Tasks 5.0
track
Only for Ultimate
UI/UX Design Tools
4 Courses161 Tasks 4.6
track
Only for Ultimate
Essential Office Skills
3 Courses75 Tasks 4.5
track
Only for Ultimate
Business AI Toolkit
3 Courses42 Tasks 4.1
Courses & Projects
Technologies
project
Predicting Potable Water Quality
Build a predictive model to identify potable water using chemical measurements, evaluating model performance and feature importance for decision support.
1 hour 0 chapterIntermediate
ENVIRONMENT
project
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.
1 hour 0 chapterIntermediate
MARKETING & SALES
project
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.
1 hour 0 chapterBeginner
TRANSPORTATION & MOBILITY
project
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.
1 hour 0 chapterBeginner
SPORTS & MEDIA
project
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.
1 hour 0 chapterBeginner
SPORTS & MEDIA
course
AI Agents for Non-Technical Users
A practical, non-technical introduction to AI agents, focusing on real-world tools and workflows for everyday productivity, safety, and control. Learn how to set up, use, and trust AI agents in your daily work without coding.
1 hour 16 chaptersBeginner
1 STUDYING NOW
course
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.
1 hour 10 chaptersIntermediate
project
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.
Only for Ultimate
1 hour 7 chaptersBeginner
project
Analyzing Department Revenue
A hands-on project for professional developers to analyze and merge departmental performance and structure data using pandas. Learn to load, inspect, clean, filter, merge, and aggregate real-world datasets with persistent variables across chapters.
Only for Ultimate
1 hour 7 chaptersIntermediate
project
Animal Crossing Villager Personality Clustering
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.
Only for Ultimate
1 hour 6 chaptersIntermediate
course
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.
1 hour 13 chaptersBeginner
project
Anime Recommendation System
Build a content-based recommendation engine for anime using pandas and scikit-learn, focusing on feature engineering, EDA for hidden gems, similarity-based recommendations, and insightful visualizations – all without defining custom functions.
Only for Ultimate
1 hour 6 chaptersBeginner
course
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.
2 hours 9 chaptersAdvanced
course
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.
3 hours 17 chaptersAdvanced
course
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.
1 hour 10 chaptersIntermediate
project
Predicting Potable Water Quality
Build a predictive model to identify potable water using chemical measurements, evaluating model performance and feature importance for decision support.
1 hour 0 chapterIntermediate
ENVIRONMENT
project
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.
1 hour 0 chapterIntermediate
MARKETING & SALES
project
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.
1 hour 0 chapterBeginner
TRANSPORTATION & MOBILITY
project
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.
1 hour 0 chapterBeginner
SPORTS & MEDIA
project
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.
1 hour 0 chapterBeginner
SPORTS & MEDIA
course
AI Agents for Non-Technical Users
A practical, non-technical introduction to AI agents, focusing on real-world tools and workflows for everyday productivity, safety, and control. Learn how to set up, use, and trust AI agents in your daily work without coding.
1 hour 16 chaptersBeginner
1 STUDYING NOW
course
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.
1 hour 10 chaptersIntermediate
project
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.
Only for Ultimate
1 hour 7 chaptersBeginner
project
Analyzing Department Revenue
A hands-on project for professional developers to analyze and merge departmental performance and structure data using pandas. Learn to load, inspect, clean, filter, merge, and aggregate real-world datasets with persistent variables across chapters.
Only for Ultimate
1 hour 7 chaptersIntermediate
project
Animal Crossing Villager Personality Clustering
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.
Only for Ultimate
1 hour 6 chaptersIntermediate
course
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.
1 hour 13 chaptersBeginner
project
Anime Recommendation System
Build a content-based recommendation engine for anime using pandas and scikit-learn, focusing on feature engineering, EDA for hidden gems, similarity-based recommendations, and insightful visualizations – all without defining custom functions.
Only for Ultimate
1 hour 6 chaptersBeginner
course
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.
2 hours 9 chaptersAdvanced
course
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.
3 hours 17 chaptersAdvanced
course
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.
1 hour 10 chaptersIntermediate
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