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course

Data Structure & Algorithms PART I

Data Structure & Algorithms PART I

Algorithms and Data structures are the basements of computer programming. Moreover, you will learn this topic with easy examples. After the course, you will be filled with ADS knowledge, analytical thinging and a perfect mood!

course

Dealing with Dates and Times in Python

Dealing with Dates and Times in Python

Dates and(or) times are one of the most common things in modern data: often we need to deal with observations containing dates and times. In this course, you will learn about datetime, pytz libraries, and how they help to deal with different formats of dates and times. Also, you will learn how to implement this knowledge to work with dirty or missing date/time values.

course

Django Project

Django Project

start

course

Django example

Django example

1

course

Django: First Dive

Django: First Dive

The Django Framework is the best choice to start learning Backend Development using Python! Here you will dive into the Backend, learn how to handle HTTP requests, pass and extract data, and create HTML pages using Templates. In particular, you will learn how to use Python to interact with a database in a very convenient way without using SQL.

course

Dynamic Programming

Dynamic Programming

This course introduces a Dynamic Programming approach for users familiar with the syntax and data structures of the Python programming language. Dynamic programming is a necessary topic for a technical interview, as are Binary Search, Sorting Algorithms, etc. Be prepared to solve a few problems on your own. Use the hints or Solutions section if you get stuck.

course

Error Handling in Python

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!

course

Expert React

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.

course

Explore the Linear Regression Using Python

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.

course

Foundations of Machine Learning Track Overview

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.

course

Game Design Introduction

Game Design Introduction

temp

project

Gradient descent for linear regression

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.

course

Greedy Algorithms using Python

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. We’ll start with classic problems, then move to the Greedy Algorithms in arrays, and finish with the hardest part – Greedy Algorithms on graphs, such as Kruskal’s Minimum Spanning Tree and Dijkstra Shortest Path Algorithm. That would be great if you’re already familiar with Algorithms at all and such concepts as Dynamic Programming.

course

HTML & JavaScript Interactivity for Beginners

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.

course

HTML for Beginners

HTML for Beginners

HTML (HyperText Markup Language) is a standard language for creating web pages. It describes the structure and content of a web page and consists of a series of tags that define the various elements of the page, such as headings, paragraphs, lists, links, and more. HTML is the foundation of the modern web.
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Frontend Development Foundations

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course

Data Structure & Algorithms PART I

Data Structure & Algorithms PART I

Algorithms and Data structures are the basements of computer programming. Moreover, you will learn this topic with easy examples. After the course, you will be filled with ADS knowledge, analytical thinging and a perfect mood!

course

Dealing with Dates and Times in Python

Dealing with Dates and Times in Python

Dates and(or) times are one of the most common things in modern data: often we need to deal with observations containing dates and times. In this course, you will learn about datetime, pytz libraries, and how they help to deal with different formats of dates and times. Also, you will learn how to implement this knowledge to work with dirty or missing date/time values.

course

Django Project

Django Project

start

course

Django example

Django example

1

course

Django: First Dive

Django: First Dive

The Django Framework is the best choice to start learning Backend Development using Python! Here you will dive into the Backend, learn how to handle HTTP requests, pass and extract data, and create HTML pages using Templates. In particular, you will learn how to use Python to interact with a database in a very convenient way without using SQL.

course

Dynamic Programming

Dynamic Programming

This course introduces a Dynamic Programming approach for users familiar with the syntax and data structures of the Python programming language. Dynamic programming is a necessary topic for a technical interview, as are Binary Search, Sorting Algorithms, etc. Be prepared to solve a few problems on your own. Use the hints or Solutions section if you get stuck.

course

Error Handling in Python

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!

course

Expert React

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.

course

Explore the Linear Regression Using Python

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.

course

Foundations of Machine Learning Track Overview

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.

course

Game Design Introduction

Game Design Introduction

temp

project

Gradient descent for linear regression

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.

course

Greedy Algorithms using Python

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. We’ll start with classic problems, then move to the Greedy Algorithms in arrays, and finish with the hardest part – Greedy Algorithms on graphs, such as Kruskal’s Minimum Spanning Tree and Dijkstra Shortest Path Algorithm. That would be great if you’re already familiar with Algorithms at all and such concepts as Dynamic Programming.

course

HTML & JavaScript Interactivity for Beginners

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.

course

HTML for Beginners

HTML for Beginners

HTML (HyperText Markup Language) is a standard language for creating web pages. It describes the structure and content of a web page and consists of a series of tags that define the various elements of the page, such as headings, paragraphs, lists, links, and more. HTML is the foundation of the modern web.

course

Data Structure & Algorithms PART I

Data Structure & Algorithms PART I

Algorithms and Data structures are the basements of computer programming. Moreover, you will learn this topic with easy examples. After the course, you will be filled with ADS knowledge, analytical thinging and a perfect mood!

course

Dealing with Dates and Times in Python

Dealing with Dates and Times in Python

Dates and(or) times are one of the most common things in modern data: often we need to deal with observations containing dates and times. In this course, you will learn about datetime, pytz libraries, and how they help to deal with different formats of dates and times. Also, you will learn how to implement this knowledge to work with dirty or missing date/time values.

course

Django Project

Django Project

start

course

Django example

Django example

1

course

Django: First Dive

Django: First Dive

The Django Framework is the best choice to start learning Backend Development using Python! Here you will dive into the Backend, learn how to handle HTTP requests, pass and extract data, and create HTML pages using Templates. In particular, you will learn how to use Python to interact with a database in a very convenient way without using SQL.

course

Dynamic Programming

Dynamic Programming

This course introduces a Dynamic Programming approach for users familiar with the syntax and data structures of the Python programming language. Dynamic programming is a necessary topic for a technical interview, as are Binary Search, Sorting Algorithms, etc. Be prepared to solve a few problems on your own. Use the hints or Solutions section if you get stuck.

course

Error Handling in Python

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!

course

Expert React

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.

course

Explore the Linear Regression Using Python

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.

course

Foundations of Machine Learning Track Overview

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.

course

Game Design Introduction

Game Design Introduction

temp

project

Gradient descent for linear regression

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.

course

Greedy Algorithms using Python

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. We’ll start with classic problems, then move to the Greedy Algorithms in arrays, and finish with the hardest part – Greedy Algorithms on graphs, such as Kruskal’s Minimum Spanning Tree and Dijkstra Shortest Path Algorithm. That would be great if you’re already familiar with Algorithms at all and such concepts as Dynamic Programming.

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HTML & JavaScript Interactivity for Beginners

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.

course

HTML for Beginners

HTML for Beginners

HTML (HyperText Markup Language) is a standard language for creating web pages. It describes the structure and content of a web page and consists of a series of tags that define the various elements of the page, such as headings, paragraphs, lists, links, and more. HTML is the foundation of the modern web.
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