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Introduction to Python | Mobile-Friendly

Introduction to Python | Mobile-Friendly

Python is an interpreted high-level, general-purpose programming language, which means it can be used in different spheres of human activity (unlike HTML, CSS, and JavaScript, which are mainly used in web development). Python can be used in software developing, data science, back-end development, etc. In this mobile-friendly version of the course, you will meet with the main aspects of Python.

course

Introduction to React

Introduction to React

In this course, we will learn how to use the JavaScript React library for making front-end applications. This course will help you understand the structure of a React application, how to add it to an existing website, and how to set up a React app from scratch. You will learn how to easily create React applications and expand them further for more advanced purposes. This course is intended for beginners though basic knowledge of JavaScript is required.

course

Introduction to Redux

Introduction to Redux

In this course, the user will learn how to use Redux and React to create powerful applications.

course

Introduction to Reinforcement Learning with Python

Introduction to Reinforcement Learning with Python

Reinforcement Learning (RL) is a powerful branch of machine learning focused on training intelligent agents through interaction with their environment. In this course, you'll learn how agents gradually discover effective behaviors through trial and error. Beginning with core concepts like Markov decision processes and multi-armed bandits, you'll work your way through dynamic programming, Monte Carlo methods, and temporal difference learning.

course

Introduction to SQL

Introduction to SQL

This course offers an easy-to-follow introduction to the basics of SQL databases and the Structured Query Language (SQL). Through engaging video lessons and thoughtfully crafted exercises, you’ll explore essential concepts step by step. Each topic is explained in detail and paired with hands-on practice to ensure you not only understand but also retain what you’ve learned.

course

Introduction to Scikit Learn

Introduction to Scikit Learn

it should be written

course

Introduction to Stream API

Introduction to Stream API

Learn to harness Stream API in Java for efficient and elegant data processing. Explore its architecture, key principles, and functional interfaces, along with powerful operations like filtering, mapping, sorting, and collecting results. Discover advanced techniques for performance optimization, error handling, and parallel processing to apply Stream API effectively in real-world scenarios.

course

Introduction to pandas [track]

Introduction to pandas [track]

This course is designed to teach you the very basics of pandas - a must-have Python library for every data analyst or data scientist (and not only). You will start from defining the basic objects, learn how to read data from files, and how to manipulate and aggregate loaded data.

project

Introduction to vibe coding

Introduction to vibe coding

Coding with AI is a hands-on course designed for professionals eager to enhance their everyday work processes without delving into full-scale programming. This course equips you with practical coding techniques and AI tools to automate repetitive tasks, seamlessly convert and organize documents, and perform advanced data analysis. Learn how to create dynamic reports from CSV files, extract critical information from PDFs, auto-categorize files, and even integrate live data feeds like currency updates—all through intuitive, step-by-step projects. With real-world examples and a focus on immediate applicability, Coding with AI empowers you to boost productivity and make smarter decisions with minimal technical background.

project

Investigating Diabetes Risk Factors

Investigating Diabetes Risk Factors

This course guides you through analyzing real-world health data to uncover key diabetes risk factors and inform targeted public health interventions.

project

Investigating Urban Air Pollution Trends

Investigating Urban Air Pollution Trends

This project introduces core techniques in environmental data analysis, focusing on sensor data cleaning, descriptive statistics, and short-term air quality trends.

project

Is the mushroom poisonous?

Is the mushroom poisonous?

In this project, we study a dataset in which the external characteristics of mushrooms are presented, and with their help, we will predict whether the mushroom is poisonous

course

Jupyter test course

Jupyter test course

Jupyter test course

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Jupyter-demo

Jupyter-demo

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project

Kipish Test

Kipish Test

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Career tracks

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TEST TRACK 12

laptop1 Course
pencil-with-line1 Project
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Beginner

4.0
(17164)
track
lockOnly for Ultimate
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Full Stack Web Development

laptop7 Courses
list424 Tasks

Beginner

4.5
(53)
track
lockOnly for Ultimate
track image

Become a React Developer

laptop4 Courses
list98 Tasks

Intermediate

4.8
(8)
track
lockOnly for Ultimate
track image

Mastering Data Visualization

laptop5 Courses
list146 Tasks

Intermediate

4.4
(9)
track
lockOnly for Ultimate
track image

SQL from Zero to Hero

laptop7 Courses
list249 Tasks

Beginner

4.6
(113)
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For Ultimate

Only for Ultimate

TEST TRACK 12

laptop1 Course
pencil-with-line1 Project
list0 Task
4.0
track
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For Ultimate

Only for Ultimate

Full Stack Web Development

laptop7 Courses
list424 Tasks
4.5
track
track image
For Ultimate

Only for Ultimate

Become a React Developer

laptop4 Courses
list98 Tasks
4.8
track
track image
For Ultimate

Only for Ultimate

Mastering Data Visualization

laptop5 Courses
list146 Tasks
4.4
track
track image
For Ultimate

Only for Ultimate

SQL from Zero to Hero

laptop7 Courses
list249 Tasks
4.6
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Courses & Projects

Technologies

course

Introduction to Python | Mobile-Friendly

Introduction to Python | Mobile-Friendly

Python is an interpreted high-level, general-purpose programming language, which means it can be used in different spheres of human activity (unlike HTML, CSS, and JavaScript, which are mainly used in web development). Python can be used in software developing, data science, back-end development, etc. In this mobile-friendly version of the course, you will meet with the main aspects of Python.

course

Introduction to React

Introduction to React

In this course, we will learn how to use the JavaScript React library for making front-end applications. This course will help you understand the structure of a React application, how to add it to an existing website, and how to set up a React app from scratch. You will learn how to easily create React applications and expand them further for more advanced purposes. This course is intended for beginners though basic knowledge of JavaScript is required.

course

Introduction to Redux

Introduction to Redux

In this course, the user will learn how to use Redux and React to create powerful applications.

course

Introduction to Reinforcement Learning with Python

Introduction to Reinforcement Learning with Python

Reinforcement Learning (RL) is a powerful branch of machine learning focused on training intelligent agents through interaction with their environment. In this course, you'll learn how agents gradually discover effective behaviors through trial and error. Beginning with core concepts like Markov decision processes and multi-armed bandits, you'll work your way through dynamic programming, Monte Carlo methods, and temporal difference learning.

course

Introduction to SQL

Introduction to SQL

This course offers an easy-to-follow introduction to the basics of SQL databases and the Structured Query Language (SQL). Through engaging video lessons and thoughtfully crafted exercises, you’ll explore essential concepts step by step. Each topic is explained in detail and paired with hands-on practice to ensure you not only understand but also retain what you’ve learned.

course

Introduction to Scikit Learn

Introduction to Scikit Learn

it should be written

course

Introduction to Stream API

Introduction to Stream API

Learn to harness Stream API in Java for efficient and elegant data processing. Explore its architecture, key principles, and functional interfaces, along with powerful operations like filtering, mapping, sorting, and collecting results. Discover advanced techniques for performance optimization, error handling, and parallel processing to apply Stream API effectively in real-world scenarios.

course

Introduction to pandas [track]

Introduction to pandas [track]

This course is designed to teach you the very basics of pandas - a must-have Python library for every data analyst or data scientist (and not only). You will start from defining the basic objects, learn how to read data from files, and how to manipulate and aggregate loaded data.

project

Introduction to vibe coding

Introduction to vibe coding

Coding with AI is a hands-on course designed for professionals eager to enhance their everyday work processes without delving into full-scale programming. This course equips you with practical coding techniques and AI tools to automate repetitive tasks, seamlessly convert and organize documents, and perform advanced data analysis. Learn how to create dynamic reports from CSV files, extract critical information from PDFs, auto-categorize files, and even integrate live data feeds like currency updates—all through intuitive, step-by-step projects. With real-world examples and a focus on immediate applicability, Coding with AI empowers you to boost productivity and make smarter decisions with minimal technical background.

project

Investigating Diabetes Risk Factors

Investigating Diabetes Risk Factors

This course guides you through analyzing real-world health data to uncover key diabetes risk factors and inform targeted public health interventions.

project

Investigating Urban Air Pollution Trends

Investigating Urban Air Pollution Trends

This project introduces core techniques in environmental data analysis, focusing on sensor data cleaning, descriptive statistics, and short-term air quality trends.

project

Is the mushroom poisonous?

Is the mushroom poisonous?

In this project, we study a dataset in which the external characteristics of mushrooms are presented, and with their help, we will predict whether the mushroom is poisonous

course

Jupyter test course

Jupyter test course

Jupyter test course

course

Jupyter-demo

Jupyter-demo

description

project

Kipish Test

Kipish Test

test

course

Introduction to Python | Mobile-Friendly

Introduction to Python | Mobile-Friendly

Python is an interpreted high-level, general-purpose programming language, which means it can be used in different spheres of human activity (unlike HTML, CSS, and JavaScript, which are mainly used in web development). Python can be used in software developing, data science, back-end development, etc. In this mobile-friendly version of the course, you will meet with the main aspects of Python.

course

Introduction to React

Introduction to React

In this course, we will learn how to use the JavaScript React library for making front-end applications. This course will help you understand the structure of a React application, how to add it to an existing website, and how to set up a React app from scratch. You will learn how to easily create React applications and expand them further for more advanced purposes. This course is intended for beginners though basic knowledge of JavaScript is required.

course

Introduction to Redux

Introduction to Redux

In this course, the user will learn how to use Redux and React to create powerful applications.

course

Introduction to Reinforcement Learning with Python

Introduction to Reinforcement Learning with Python

Reinforcement Learning (RL) is a powerful branch of machine learning focused on training intelligent agents through interaction with their environment. In this course, you'll learn how agents gradually discover effective behaviors through trial and error. Beginning with core concepts like Markov decision processes and multi-armed bandits, you'll work your way through dynamic programming, Monte Carlo methods, and temporal difference learning.

course

Introduction to SQL

Introduction to SQL

This course offers an easy-to-follow introduction to the basics of SQL databases and the Structured Query Language (SQL). Through engaging video lessons and thoughtfully crafted exercises, you’ll explore essential concepts step by step. Each topic is explained in detail and paired with hands-on practice to ensure you not only understand but also retain what you’ve learned.

course

Introduction to Scikit Learn

Introduction to Scikit Learn

it should be written

course

Introduction to Stream API

Introduction to Stream API

Learn to harness Stream API in Java for efficient and elegant data processing. Explore its architecture, key principles, and functional interfaces, along with powerful operations like filtering, mapping, sorting, and collecting results. Discover advanced techniques for performance optimization, error handling, and parallel processing to apply Stream API effectively in real-world scenarios.

course

Introduction to pandas [track]

Introduction to pandas [track]

This course is designed to teach you the very basics of pandas - a must-have Python library for every data analyst or data scientist (and not only). You will start from defining the basic objects, learn how to read data from files, and how to manipulate and aggregate loaded data.

project

Introduction to vibe coding

Introduction to vibe coding

Coding with AI is a hands-on course designed for professionals eager to enhance their everyday work processes without delving into full-scale programming. This course equips you with practical coding techniques and AI tools to automate repetitive tasks, seamlessly convert and organize documents, and perform advanced data analysis. Learn how to create dynamic reports from CSV files, extract critical information from PDFs, auto-categorize files, and even integrate live data feeds like currency updates—all through intuitive, step-by-step projects. With real-world examples and a focus on immediate applicability, Coding with AI empowers you to boost productivity and make smarter decisions with minimal technical background.

project

Investigating Diabetes Risk Factors

Investigating Diabetes Risk Factors

This course guides you through analyzing real-world health data to uncover key diabetes risk factors and inform targeted public health interventions.

project

Investigating Urban Air Pollution Trends

Investigating Urban Air Pollution Trends

This project introduces core techniques in environmental data analysis, focusing on sensor data cleaning, descriptive statistics, and short-term air quality trends.

project

Is the mushroom poisonous?

Is the mushroom poisonous?

In this project, we study a dataset in which the external characteristics of mushrooms are presented, and with their help, we will predict whether the mushroom is poisonous

course

Jupyter test course

Jupyter test course

Jupyter test course

course

Jupyter-demo

Jupyter-demo

description

project

Kipish Test

Kipish Test

test
not found

Sorry... We can't find
what you're looking for

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