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All Courses & Projects | Codefinity

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Full Stack Web Development

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4.5
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Become a React Developer

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Mastering Data Visualization

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SQL from Zero to Hero

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Courses & Projects

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!

project

Excel Automation with Python

Excel Automation with Python

In this project, we will study how to create, modify, and extract data from Excel spreadsheets using Python code.

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

Explain Unit test on grid chapter

Explain Unit test on grid chapter

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.

project

Exploring Building Design for Energy Efficiency

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.

project

Exploring Heart Disease Patterns in Clinical Data

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.

project

Exploring New York Airbnb Listings

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.

project

Exploring Urban Air Quality Patterns

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.

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

Generative AI

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.

course

Google Spreadsheets Tutorial

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.

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.
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Career tracks

track
lockOnly for Ultimate
track image

TEST TRACK 12

laptop1 Course
pencil-with-line1 Project
list0 Task

Beginner

4.0
(15570)
track
lockOnly for Ultimate
track image

Full Stack Web Development

laptop7 Courses
list345 Tasks

Beginner

4.5
(70)
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

laptop4 Courses
list115 Tasks

Beginner

4.7
(102)
track
track image
For Ultimate

Only for Ultimate

TEST TRACK 12

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

Only for Ultimate

Full Stack Web Development

laptop7 Courses
list345 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

laptop4 Courses
list115 Tasks
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Courses & Projects

Technologies

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!

project

Excel Automation with Python

Excel Automation with Python

In this project, we will study how to create, modify, and extract data from Excel spreadsheets using Python code.

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

Explain Unit test on grid chapter

Explain Unit test on grid chapter

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.

project

Exploring Building Design for Energy Efficiency

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.

project

Exploring Heart Disease Patterns in Clinical Data

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.

project

Exploring New York Airbnb Listings

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.

project

Exploring Urban Air Quality Patterns

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.

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

Generative AI

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.

course

Google Spreadsheets Tutorial

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.

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

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!

project

Excel Automation with Python

Excel Automation with Python

In this project, we will study how to create, modify, and extract data from Excel spreadsheets using Python code.

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

Explain Unit test on grid chapter

Explain Unit test on grid chapter

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.

project

Exploring Building Design for Energy Efficiency

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.

project

Exploring Heart Disease Patterns in Clinical Data

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.

project

Exploring New York Airbnb Listings

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.

project

Exploring Urban Air Quality Patterns

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.

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

Generative AI

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.

course

Google Spreadsheets Tutorial

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.

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.
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