Technologies
Topic
Level
Type of lesson
Career tracks
track
Only for Ultimate
TEST TRACK 12
1 Course
1 Project
0 TaskBeginner
4.0
(15570)
track
Only for Ultimate
Full Stack Web Development
7 Courses345 TasksBeginner
4.5
(70)
track
Only for Ultimate
Become a React Developer
4 Courses98 TasksIntermediate
4.8
(8)
track
Only for Ultimate
Mastering Data Visualization
5 Courses146 TasksIntermediate
4.4
(9)
track
Only for Ultimate
SQL from Zero to Hero
4 Courses115 TasksBeginner
4.7
(102)
Courses & Projects
course
Error Handling in Python
Have you encountered errors in Python when running the program? No programmers prevent this. If you want to learn how to perceive, process, and use errors correctly - this course is for you. Here is information about the types of errors, how to deal with them, and how to use them to your advantage! Ready? Let's start!
1 hour
9 chaptersIntermediate
project
Excel Automation with Python
In this project, we will study how to create, modify, and extract data from Excel spreadsheets using Python code.
Only for Ultimate
1 hour 4 chaptersIntermediate
course
Expert React
Unlock the full potential of React and become a proficient Frontend developer with this course. Whether you're a beginner or an experienced developer looking to level up your skills, this hands-on course will take you on an exciting journey through the core concepts of React and its ecosystem, considering such valuable topics as React Router, Redux Toolkit, Formik, and Jest.
6 hours 51 chaptersIntermediate
course
Explain Unit test on grid chapter
1 hour 3 chaptersBeginner
course
Explore the Linear Regression Using Python
Regression is one of the machine learning algorithms. In this course you will learn how to work with data, build the model and make predictions about the future values.
4 hours 21 chaptersAdvanced
project
Exploring Building Design for Energy Efficiency
Explore how different architectural design features impact building energy performance by analyzing and visualizing heating and cooling loads from building simulation data.
1 hour 0 chapterBeginner
ENERGY
project
Exploring Heart Disease Patterns in Clinical Data
Explore real-world patient heart health data to uncover relationships between chest pain types, demographics, and heart disease prevalence using Python analytics.
1 hour 0 chapterBeginner
HEALTH CARE
project
Exploring New York Airbnb Listings
Explore Airbnb listings in New York by cleaning, filtering, and visualizing data to identify optimal neighborhoods, prices, and listing types.
1 hour 0 chapterBeginner
REAL ESTATE
project
Exploring Urban Air Quality Patterns
This project introduces core techniques in environmental data analysis, focusing on sensor data cleaning, descriptive statistics, and short-term air quality trends.
1 hour 0 chapterBeginner
ENVIRONMENT
course
Foundations of Machine Learning Track Overview
Now we will briefly describe all the courses on the track and consider how you can apply the gained knowledge in practice.
1 hour 6 chaptersBeginner
course
Generative AI
This course provides a comprehensive introduction to Generative AI, covering its theoretical foundations, practical applications, and ethical considerations. Learners will explore various generative models, their training methods, and real-world use cases while also addressing the challenges and risks associated with AI-generated content.
4 hours 21 chaptersAdvanced
1 STUDYING NOW
course
Google Spreadsheets Tutorial
Learn how to create and customize spreadsheets in Google Sheets, work with formulas and functions, including logical operations, format data, and sort and filter information. Master data visualization with charts and ensure data security during collaboration.
6 hours 69 chaptersBeginner
project
Gradient descent for linear regression
The starting point for all optimization theory and machine learning is the idea that we can use calculus to automatically step by step change the result towards improvement. In this course, we will apply this idea to a linear model.
Only for Ultimate
1 hour 8 chaptersIntermediate
course
Greedy Algorithms using Python
Meet the Greedy Algorithms course that introduces you the Greedy paradigm, which can be used in a huge amount of problems. Weβll start with classic problems, then move to the Greedy Algorithms in arrays, and finish with the hardest part β Greedy Algorithms on graphs, such as Kruskalβs Minimum Spanning Tree and Dijkstra Shortest Path Algorithm.
That would be great if youβre already familiar with Algorithms at all and such concepts as Dynamic Programming.
2 hours 13 chaptersIntermediate
course
HTML & JavaScript Interactivity for Beginners
You'll be familiar with the basic DOM manipulation of HTML elements with JavaScript. A static web page can only be made dynamic by changing the state of the HTML elements via DOM with the help of JavaScript. So first, you'll learn the fundamentals of DOM manipulation of HTML elements, attributes, and styles.
Then you'll discover the event handling, adding event listeners to HTML elements, and form processing. You'll also find the importance of HTML APIs before practicing what you have learned.
2 hours 14 chaptersIntermediate
Sorry... We can't find
what you're looking for
Career tracks
track
Only for UltimateTEST TRACK 12
1 Course1 Project0 TaskBeginner
4.0
(15570)
track
Only for UltimateFull Stack Web Development
7 Courses345 TasksBeginner
4.5
(70)
track
Only for UltimateBecome a React Developer
4 Courses98 TasksIntermediate
4.8
(8)
track
Only for UltimateMastering Data Visualization
5 Courses146 TasksIntermediate
4.4
(9)
track
Only for UltimateSQL from Zero to Hero
4 Courses115 TasksBeginner
4.7
(102)
track
Only for Ultimate
TEST TRACK 12
1 Course1 Project0 Task 4.0
track
Only for Ultimate
Full Stack Web Development
7 Courses345 Tasks 4.5
track
Only for Ultimate
Become a React Developer
4 Courses98 Tasks 4.8
track
Only for Ultimate
Mastering Data Visualization
5 Courses146 Tasks 4.4
track
Only for Ultimate
SQL from Zero to Hero
4 Courses115 Tasks 4.7
Courses & Projects
Technologies
course
Error Handling in Python
Have you encountered errors in Python when running the program? No programmers prevent this. If you want to learn how to perceive, process, and use errors correctly - this course is for you. Here is information about the types of errors, how to deal with them, and how to use them to your advantage! Ready? Let's start!
1 hour 9 chaptersIntermediate
project
Excel Automation with Python
In this project, we will study how to create, modify, and extract data from Excel spreadsheets using Python code.
Only for Ultimate
1 hour 4 chaptersIntermediate
course
Expert React
Unlock the full potential of React and become a proficient Frontend developer with this course. Whether you're a beginner or an experienced developer looking to level up your skills, this hands-on course will take you on an exciting journey through the core concepts of React and its ecosystem, considering such valuable topics as React Router, Redux Toolkit, Formik, and Jest.
6 hours 51 chaptersIntermediate
course
Explain Unit test on grid chapter
1 hour 3 chaptersBeginner
course
Explore the Linear Regression Using Python
Regression is one of the machine learning algorithms. In this course you will learn how to work with data, build the model and make predictions about the future values.
4 hours 21 chaptersAdvanced
project
Exploring Building Design for Energy Efficiency
Explore how different architectural design features impact building energy performance by analyzing and visualizing heating and cooling loads from building simulation data.
1 hour 0 chapterBeginner
ENERGY
project
Exploring Heart Disease Patterns in Clinical Data
Explore real-world patient heart health data to uncover relationships between chest pain types, demographics, and heart disease prevalence using Python analytics.
1 hour 0 chapterBeginner
HEALTH CARE
project
Exploring New York Airbnb Listings
Explore Airbnb listings in New York by cleaning, filtering, and visualizing data to identify optimal neighborhoods, prices, and listing types.
1 hour 0 chapterBeginner
REAL ESTATE
project
Exploring Urban Air Quality Patterns
This project introduces core techniques in environmental data analysis, focusing on sensor data cleaning, descriptive statistics, and short-term air quality trends.
1 hour 0 chapterBeginner
ENVIRONMENT
course
Foundations of Machine Learning Track Overview
Now we will briefly describe all the courses on the track and consider how you can apply the gained knowledge in practice.
1 hour 6 chaptersBeginner
course
Generative AI
This course provides a comprehensive introduction to Generative AI, covering its theoretical foundations, practical applications, and ethical considerations. Learners will explore various generative models, their training methods, and real-world use cases while also addressing the challenges and risks associated with AI-generated content.
4 hours 21 chaptersAdvanced
1 STUDYING NOW
course
Google Spreadsheets Tutorial
Learn how to create and customize spreadsheets in Google Sheets, work with formulas and functions, including logical operations, format data, and sort and filter information. Master data visualization with charts and ensure data security during collaboration.
6 hours 69 chaptersBeginner
project
Gradient descent for linear regression
The starting point for all optimization theory and machine learning is the idea that we can use calculus to automatically step by step change the result towards improvement. In this course, we will apply this idea to a linear model.
Only for Ultimate
1 hour 8 chaptersIntermediate
course
Greedy Algorithms using Python
Meet the Greedy Algorithms course that introduces you the Greedy paradigm, which can be used in a huge amount of problems. Weβll start with classic problems, then move to the Greedy Algorithms in arrays, and finish with the hardest part β Greedy Algorithms on graphs, such as Kruskalβs Minimum Spanning Tree and Dijkstra Shortest Path Algorithm.
That would be great if youβre already familiar with Algorithms at all and such concepts as Dynamic Programming.
2 hours 13 chaptersIntermediate
course
HTML & JavaScript Interactivity for Beginners
You'll be familiar with the basic DOM manipulation of HTML elements with JavaScript. A static web page can only be made dynamic by changing the state of the HTML elements via DOM with the help of JavaScript. So first, you'll learn the fundamentals of DOM manipulation of HTML elements, attributes, and styles.
Then you'll discover the event handling, adding event listeners to HTML elements, and form processing. You'll also find the importance of HTML APIs before practicing what you have learned.
2 hours 14 chaptersIntermediate
course
Error Handling in Python
Have you encountered errors in Python when running the program? No programmers prevent this. If you want to learn how to perceive, process, and use errors correctly - this course is for you. Here is information about the types of errors, how to deal with them, and how to use them to your advantage! Ready? Let's start!
1 hour 9 chaptersIntermediate
project
Excel Automation with Python
In this project, we will study how to create, modify, and extract data from Excel spreadsheets using Python code.
Only for Ultimate
1 hour 4 chaptersIntermediate
course
Expert React
Unlock the full potential of React and become a proficient Frontend developer with this course. Whether you're a beginner or an experienced developer looking to level up your skills, this hands-on course will take you on an exciting journey through the core concepts of React and its ecosystem, considering such valuable topics as React Router, Redux Toolkit, Formik, and Jest.
6 hours 51 chaptersIntermediate
course
Explain Unit test on grid chapter
1 hour 3 chaptersBeginner
course
Explore the Linear Regression Using Python
Regression is one of the machine learning algorithms. In this course you will learn how to work with data, build the model and make predictions about the future values.
4 hours 21 chaptersAdvanced
project
Exploring Building Design for Energy Efficiency
Explore how different architectural design features impact building energy performance by analyzing and visualizing heating and cooling loads from building simulation data.
1 hour 0 chapterBeginner
ENERGY
project
Exploring Heart Disease Patterns in Clinical Data
Explore real-world patient heart health data to uncover relationships between chest pain types, demographics, and heart disease prevalence using Python analytics.
1 hour 0 chapterBeginner
HEALTH CARE
project
Exploring New York Airbnb Listings
Explore Airbnb listings in New York by cleaning, filtering, and visualizing data to identify optimal neighborhoods, prices, and listing types.
1 hour 0 chapterBeginner
REAL ESTATE
project
Exploring Urban Air Quality Patterns
This project introduces core techniques in environmental data analysis, focusing on sensor data cleaning, descriptive statistics, and short-term air quality trends.
1 hour 0 chapterBeginner
ENVIRONMENT
course
Foundations of Machine Learning Track Overview
Now we will briefly describe all the courses on the track and consider how you can apply the gained knowledge in practice.
1 hour 6 chaptersBeginner
course
Generative AI
This course provides a comprehensive introduction to Generative AI, covering its theoretical foundations, practical applications, and ethical considerations. Learners will explore various generative models, their training methods, and real-world use cases while also addressing the challenges and risks associated with AI-generated content.
4 hours 21 chaptersAdvanced
1 STUDYING NOW
course
Google Spreadsheets Tutorial
Learn how to create and customize spreadsheets in Google Sheets, work with formulas and functions, including logical operations, format data, and sort and filter information. Master data visualization with charts and ensure data security during collaboration.
6 hours 69 chaptersBeginner
project
Gradient descent for linear regression
The starting point for all optimization theory and machine learning is the idea that we can use calculus to automatically step by step change the result towards improvement. In this course, we will apply this idea to a linear model.
Only for Ultimate
1 hour 8 chaptersIntermediate
course
Greedy Algorithms using Python
Meet the Greedy Algorithms course that introduces you the Greedy paradigm, which can be used in a huge amount of problems. Weβll start with classic problems, then move to the Greedy Algorithms in arrays, and finish with the hardest part β Greedy Algorithms on graphs, such as Kruskalβs Minimum Spanning Tree and Dijkstra Shortest Path Algorithm.
That would be great if youβre already familiar with Algorithms at all and such concepts as Dynamic Programming.
2 hours 13 chaptersIntermediate
course
HTML & JavaScript Interactivity for Beginners
You'll be familiar with the basic DOM manipulation of HTML elements with JavaScript. A static web page can only be made dynamic by changing the state of the HTML elements via DOM with the help of JavaScript. So first, you'll learn the fundamentals of DOM manipulation of HTML elements, attributes, and styles.
Then you'll discover the event handling, adding event listeners to HTML elements, and form processing. You'll also find the importance of HTML APIs before practicing what you have learned.
2 hours 14 chaptersIntermediate
Sorry... We can't find
what you're looking for
