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Only for Ultimate
TEST TRACK 12
1 Course
1 Project
0 TaskBeginner
4.0
(19465)
track
Only for Ultimate
Full Stack Web Development
7 Courses386 TasksBeginner
4.5
(54)
track
Only for Ultimate
Become a React Developer 2024
4 Courses73 TasksIntermediate
4.8
(8)
track
Only for Ultimate
Mastering Data Visualization (2023)
5 Courses146 TasksIntermediate
5.0
(2)
track
Only for Ultimate
SQL from Zero to Hero 2023
7 Courses248 TasksBeginner
4.6
(114)
Courses & Projects
course
Quantization Theory for Neural Networks
A mathematically rigorous exploration of quantization for large neural networks, focusing on numerical representations, error propagation, and the theoretical limits of precision reduction. This course emphasizes the underlying numerical analysis, stability trade-offs, and information loss inherent in quantizing deep models.
2 hours
9 chaptersAdvanced
project
Quiz Application
Build a step-by-step Java console application that allows users to take a quiz, answer questions, and see their final score. Each chapter introduces a new programming concept and adds new functionality to the application, all within a single Main.java file.
Only for Ultimate
1 hour 7 chaptersBeginner
1 STUDYING NOW
course
Quiz Π‘hapters of Excel for Beginners
1 hour 8 chaptersBeginner
course
R for Biologists and Bioinformatics
A hands-on introduction to R programming tailored for biologists and bioinformaticians. Learn to analyze, visualize, and interpret biological data using R, with real-world examples from genomics, ecology, and experimental biology.
3 hours 20 chaptersIntermediate
HEALTH CARE
course
R for Biologists and Bioinformatics (Core)
A hands-on introduction to R programming tailored for biologists and bioinformaticians. Learn to analyze, visualize, and interpret biological data using R, with real-world examples from genomics, ecology, and experimental biology.
2 hours 24 chaptersBeginner
HEALTH CARE
course
R for Biologists and Bioinformatics (copy) 1768212304389
A hands-on introduction to R programming tailored for biologists and bioinformaticians. Learn to analyze, visualize, and interpret biological data using R, with real-world examples from genomics, ecology, and experimental biology.
3 hours 20 chaptersIntermediate
HEALTH CARE
course
R for Data Scientists
Master practical data science in R by learning data cleaning, modeling, evaluation, and machine learning workflows through hands-on code. Build fluency with R syntax, functions, and outputs for real-world data science tasks.
2 hours 13 chaptersIntermediate
course
R for Economists
Learn how economists use R to analyze macroeconomic and market data, build econometric models, and interpret results for policy and market decisions. Focus on regression, time series, and forecasting using real economic datasets.
2 hours 13 chaptersIntermediate
course
R for Engineers
Master R as a practical tool for engineering computation, simulation, optimization, and technical analysis. Apply numerical modeling, solve real-world engineering problems, and visualize results for informed decision-making.
1 hour 9 chaptersIntermediate
course
R for Financial Analysts
Learn to analyze financial data in R: work with time series, compute returns, assess risk, analyze portfolios, and visualize and forecast market data using practical, code-driven examples.
1 hour 10 chaptersIntermediate
course
R for Marketing Analysts
Learn to apply R for practical marketing analytics: measure KPIs, analyze customers and cohorts, evaluate campaigns, and visualize insights to drive business decisions.
1 hour 9 chaptersIntermediate
course
R for Mathematicians
Master mathematical computation in R: express vectors, matrices, and mathematical structures in code, apply numerical methods, and solve equations and optimization problems with mathematical rigor.
1 hour 9 chaptersIntermediate
course
R for Statisticians
Master rigorous statistical analysis in R: probability, inference, ANOVA, regression, simulation, and interpretation. Emphasizes statistical reasoning, uncertainty, and correct conclusions using R as a computational tool.
2 hours 13 chaptersIntermediate
course
RAG Theory Essentials
A comprehensive, theory-focused course on the core concepts, architectures, and evaluation strategies behind Retrieval-Augmented Generation (RAG) systems. Designed for learners seeking a deep understanding of why RAG exists, how retrieval and generation are integrated, and how to evaluate and improve RAG pipelines.
1 hour 9 chaptersIntermediate
project
Rainfall Prediction in Australia
A hands-on, end-to-end case study using the Australian weather dataset to tackle missing data, perform exploratory data analysis, engineer features, and build a Random Forest classifier to predict rainfall. This project is strictly linear, avoids function definitions, and demonstrates best practices for real-world data science workflows in Python.
Only for Ultimate
1 hour 5 chaptersBeginner
Sorry... We can't find
what you're looking for
Career tracks
track
Only for UltimateTEST TRACK 12
1 Course1 Project0 TaskBeginner
4.0
(19465)
track
Only for UltimateFull Stack Web Development
7 Courses386 TasksBeginner
4.5
(54)
track
Only for UltimateBecome a React Developer 2024
4 Courses73 TasksIntermediate
4.8
(8)
track
Only for UltimateMastering Data Visualization (2023)
5 Courses146 TasksIntermediate
5.0
(2)
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
7 Courses386 Tasks 4.5
track
Only for Ultimate
Become a React Developer 2024
4 Courses73 Tasks 4.8
track
Only for Ultimate
Mastering Data Visualization (2023)
5 Courses146 Tasks 5.0
track
Only for Ultimate
SQL from Zero to Hero 2023
7 Courses248 Tasks 4.6
Courses & Projects
Technologies
course
Quantization Theory for Neural Networks
A mathematically rigorous exploration of quantization for large neural networks, focusing on numerical representations, error propagation, and the theoretical limits of precision reduction. This course emphasizes the underlying numerical analysis, stability trade-offs, and information loss inherent in quantizing deep models.
2 hours 9 chaptersAdvanced
project
Quiz Application
Build a step-by-step Java console application that allows users to take a quiz, answer questions, and see their final score. Each chapter introduces a new programming concept and adds new functionality to the application, all within a single Main.java file.
Only for Ultimate
1 hour 7 chaptersBeginner
1 STUDYING NOW
course
Quiz Π‘hapters of Excel for Beginners
1 hour 8 chaptersBeginner
course
R for Biologists and Bioinformatics
A hands-on introduction to R programming tailored for biologists and bioinformaticians. Learn to analyze, visualize, and interpret biological data using R, with real-world examples from genomics, ecology, and experimental biology.
3 hours 20 chaptersIntermediate
HEALTH CARE
course
R for Biologists and Bioinformatics (Core)
A hands-on introduction to R programming tailored for biologists and bioinformaticians. Learn to analyze, visualize, and interpret biological data using R, with real-world examples from genomics, ecology, and experimental biology.
2 hours 24 chaptersBeginner
HEALTH CARE
course
R for Biologists and Bioinformatics (copy) 1768212304389
A hands-on introduction to R programming tailored for biologists and bioinformaticians. Learn to analyze, visualize, and interpret biological data using R, with real-world examples from genomics, ecology, and experimental biology.
3 hours 20 chaptersIntermediate
HEALTH CARE
course
R for Data Scientists
Master practical data science in R by learning data cleaning, modeling, evaluation, and machine learning workflows through hands-on code. Build fluency with R syntax, functions, and outputs for real-world data science tasks.
2 hours 13 chaptersIntermediate
course
R for Economists
Learn how economists use R to analyze macroeconomic and market data, build econometric models, and interpret results for policy and market decisions. Focus on regression, time series, and forecasting using real economic datasets.
2 hours 13 chaptersIntermediate
course
R for Engineers
Master R as a practical tool for engineering computation, simulation, optimization, and technical analysis. Apply numerical modeling, solve real-world engineering problems, and visualize results for informed decision-making.
1 hour 9 chaptersIntermediate
course
R for Financial Analysts
Learn to analyze financial data in R: work with time series, compute returns, assess risk, analyze portfolios, and visualize and forecast market data using practical, code-driven examples.
1 hour 10 chaptersIntermediate
course
R for Marketing Analysts
Learn to apply R for practical marketing analytics: measure KPIs, analyze customers and cohorts, evaluate campaigns, and visualize insights to drive business decisions.
1 hour 9 chaptersIntermediate
course
R for Mathematicians
Master mathematical computation in R: express vectors, matrices, and mathematical structures in code, apply numerical methods, and solve equations and optimization problems with mathematical rigor.
1 hour 9 chaptersIntermediate
course
R for Statisticians
Master rigorous statistical analysis in R: probability, inference, ANOVA, regression, simulation, and interpretation. Emphasizes statistical reasoning, uncertainty, and correct conclusions using R as a computational tool.
2 hours 13 chaptersIntermediate
course
RAG Theory Essentials
A comprehensive, theory-focused course on the core concepts, architectures, and evaluation strategies behind Retrieval-Augmented Generation (RAG) systems. Designed for learners seeking a deep understanding of why RAG exists, how retrieval and generation are integrated, and how to evaluate and improve RAG pipelines.
1 hour 9 chaptersIntermediate
project
Rainfall Prediction in Australia
A hands-on, end-to-end case study using the Australian weather dataset to tackle missing data, perform exploratory data analysis, engineer features, and build a Random Forest classifier to predict rainfall. This project is strictly linear, avoids function definitions, and demonstrates best practices for real-world data science workflows in Python.
Only for Ultimate
1 hour 5 chaptersBeginner
course
Quantization Theory for Neural Networks
A mathematically rigorous exploration of quantization for large neural networks, focusing on numerical representations, error propagation, and the theoretical limits of precision reduction. This course emphasizes the underlying numerical analysis, stability trade-offs, and information loss inherent in quantizing deep models.
2 hours 9 chaptersAdvanced
project
Quiz Application
Build a step-by-step Java console application that allows users to take a quiz, answer questions, and see their final score. Each chapter introduces a new programming concept and adds new functionality to the application, all within a single Main.java file.
Only for Ultimate
1 hour 7 chaptersBeginner
1 STUDYING NOW
course
Quiz Π‘hapters of Excel for Beginners
1 hour 8 chaptersBeginner
course
R for Biologists and Bioinformatics
A hands-on introduction to R programming tailored for biologists and bioinformaticians. Learn to analyze, visualize, and interpret biological data using R, with real-world examples from genomics, ecology, and experimental biology.
3 hours 20 chaptersIntermediate
HEALTH CARE
course
R for Biologists and Bioinformatics (Core)
A hands-on introduction to R programming tailored for biologists and bioinformaticians. Learn to analyze, visualize, and interpret biological data using R, with real-world examples from genomics, ecology, and experimental biology.
2 hours 24 chaptersBeginner
HEALTH CARE
course
R for Biologists and Bioinformatics (copy) 1768212304389
A hands-on introduction to R programming tailored for biologists and bioinformaticians. Learn to analyze, visualize, and interpret biological data using R, with real-world examples from genomics, ecology, and experimental biology.
3 hours 20 chaptersIntermediate
HEALTH CARE
course
R for Data Scientists
Master practical data science in R by learning data cleaning, modeling, evaluation, and machine learning workflows through hands-on code. Build fluency with R syntax, functions, and outputs for real-world data science tasks.
2 hours 13 chaptersIntermediate
course
R for Economists
Learn how economists use R to analyze macroeconomic and market data, build econometric models, and interpret results for policy and market decisions. Focus on regression, time series, and forecasting using real economic datasets.
2 hours 13 chaptersIntermediate
course
R for Engineers
Master R as a practical tool for engineering computation, simulation, optimization, and technical analysis. Apply numerical modeling, solve real-world engineering problems, and visualize results for informed decision-making.
1 hour 9 chaptersIntermediate
course
R for Financial Analysts
Learn to analyze financial data in R: work with time series, compute returns, assess risk, analyze portfolios, and visualize and forecast market data using practical, code-driven examples.
1 hour 10 chaptersIntermediate
course
R for Marketing Analysts
Learn to apply R for practical marketing analytics: measure KPIs, analyze customers and cohorts, evaluate campaigns, and visualize insights to drive business decisions.
1 hour 9 chaptersIntermediate
course
R for Mathematicians
Master mathematical computation in R: express vectors, matrices, and mathematical structures in code, apply numerical methods, and solve equations and optimization problems with mathematical rigor.
1 hour 9 chaptersIntermediate
course
R for Statisticians
Master rigorous statistical analysis in R: probability, inference, ANOVA, regression, simulation, and interpretation. Emphasizes statistical reasoning, uncertainty, and correct conclusions using R as a computational tool.
2 hours 13 chaptersIntermediate
course
RAG Theory Essentials
A comprehensive, theory-focused course on the core concepts, architectures, and evaluation strategies behind Retrieval-Augmented Generation (RAG) systems. Designed for learners seeking a deep understanding of why RAG exists, how retrieval and generation are integrated, and how to evaluate and improve RAG pipelines.
1 hour 9 chaptersIntermediate
project
Rainfall Prediction in Australia
A hands-on, end-to-end case study using the Australian weather dataset to tackle missing data, perform exploratory data analysis, engineer features, and build a Random Forest classifier to predict rainfall. This project is strictly linear, avoids function definitions, and demonstrates best practices for real-world data science workflows in Python.
Only for Ultimate
1 hour 5 chaptersBeginner
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