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Web Development with C#

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Python from Zero to Hero

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SQL from Zero to Hero

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Π‘++ Essentials

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Game Development with Unity

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Java Essentials

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Full Stack Web Development

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Frontend Development Foundations

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Mastering Data Visualization

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Machine Learning Mastery

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Java Web

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Become a QA Engineer

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Video Production with Adobe

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UI/UX Design Tools

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Essential Office Skills

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Digital Marketing Essentials

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Complete Social Media Management

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Business AI Toolkit

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Deep Learning Odyssey

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Courses & Projects

course

Introduction to SQL

Introduction to SQL

This course is perfect for beginners ready to explore the world of SQL. Whether you're just starting out in database management or aiming to use SQL for your application development projects, this course covers the essentials. You'll quickly learn how to leverage the full potential of SQL, from querying and managing data to seamlessly integrating it into real-world applications. By the end of the course, you'll have the confidence and skills to solve practical problems with SQL and enhance your development process.

course

Intermediate SQL

Intermediate SQL

This course is perfect for those who already have a basic understanding of SQL and want to delve into more advanced concepts to craft more powerful queries. Throughout the course, you will become familiar with data grouping and filtering grouped data. You will also learn how to work with multiple tables simultaneously, including how to combine them. Additionally, you will explore different types of table joins and how to apply them in practice.

course

Pandas First Steps

Pandas First Steps

Pandas is an extremely user-friendly library for data analysis. It's also designed to handle large datasets, using data structures like DataFrame and Series. This makes it an invaluable tool for Data Science. In this guide, you'll get acquainted with a range of statistical functions, including how to find correlations, modes, medians, and maximum and minimum values within a dataset. You'll also learn how to handle missing values and manipulate specific values, as well as how to remove them.

course

Excel Formulas

Excel Formulas

Unlock the full potential of Excel by learning how to use formulas and functions to simplify tasks, analyze data, and work more efficiently. You'll explore everything from basic arithmetic and conditional logic to dynamic arrays and powerful lookup tools like VLOOKUP, MATCH, and INDIRECT. With practical examples and clear explanations, you'll build a solid foundation and discover smarter ways to manage and manipulate your spreadsheets.

course

Advanced Techniques in pandas

Advanced Techniques in pandas

This course contains a lot of useful functions for a future data analyst. You will learn different ways of extracting data and even set conditions on it. After it, you will be familiar with the methods of grouping data. Also, you will learn how to preprocess data. Each section has its data set so that the course will be gripping.

course

Ultimate NumPy

Ultimate NumPy

Unlock the full potential of Python's most essential library for numerical computing, NumPy. This comprehensive course is designed to take you from a beginner's understanding to an advanced level of proficiency in NumPy. Whether you're a data scientist, engineer, researcher, or developer, mastering NumPy is essential for efficient data manipulation, scientific computing, and machine learning.

course

Introduction to Neural Networks

Introduction to Neural Networks

Neural networks are powerful algorithms inspired by the structure of the human brain that are used to solve complex machine learning problems. You will build your own Neural Network from scratch to understand how it works. After this course, you will be able to create neural networks for solving classification and regression problems using the scikit-learn library.

course

Relational Database and Normalization

Relational Database and Normalization

This course delves into the theory behind relational databases. You'll learn what they are and see how they differ from non-relational databases. Throughout the course, we'll walk you through the ins and outs of database design and familiarize you with various types of relationships. Additionally, you'll explore the concepts of normalization and normal forms, equipping you with the knowledge to craft efficient and optimized databases.

course

ML Introduction with scikit-learn

ML Introduction with scikit-learn

Machine learning is now used everywhere. Want to learn it yourself? This course is an introduction to the world of Machine learning for you to learn basic concepts, work with Scikit-learn – the most popular library for ML and build your first Machine Learning project. This course is intended for students with a basic knowledge of Python, Pandas, and Numpy.

course

Ultimate Visualization with Python

Ultimate Visualization with Python

Data is everywhere around us, and making sense of it is extremely important. Visualization helps you deal with data by finding certain patterns and insights in it. You will develop a solid foundation of data visualization using Python and its libraries, such as matplotlib and seaborn, to get as much information from data as possible in a neat and concise way.

course

Databases in Python

Databases in Python

"Databases in Python" is a hands-on course designed to teach you the fundamentals of working with databases using Python, focusing on the sqlite3 library and SQLAlchemy. You’ll learn how to store, modify, and retrieve data, build efficient queries, and configure databases for your projects. The course covers both SQL basics and the ORM (Object-Relational Mapping) approach, which allows you to interact with databases through Python objects. This course is perfect for beginners looking to deepen their skills in data management, application development, and information handling.

course

Introduction to NLP

Introduction to NLP

Let's explore the fundamentals of Natural Language Processing (NLP) as you delve into text preprocessing techniques and various text models used to represent text data. You will gain practical insights and hands-on experience with the tools and methods essential for analyzing and interpreting textual data effectively. This course equips you with the skills to transform raw text into meaningful information, paving the way for advanced applications in AI and machine learning.

course

Web Scraping with Python

Web Scraping with Python

Learn to extract valuable data from websites automatically. Master techniques to gather information efficiently, enabling you to perform in-depth analysis, make data-driven decisions, and unlock new insights from the vast ocean of online information.

course

Introduction to TensorFlow

Introduction to TensorFlow

Dive deep into the world of TensorFlow with our course, designed to give you a robust understanding of its core components. Begin with an exploration of tensors and the basics of TensorFlow framework. By the course's end, you'll have honed the skills to build tensor-driven systems, including crafting a basic neural network. Equip yourself with the knowledge to harness TensorFlow's full potential and set the foundation for advanced deep learning pursuits.

project

Identifying Spam Emails

Identifying Spam Emails

Classify emails as spam or non-spam by analyzing the content of the emails. Preprocess the text data using techniques like tokenization and vectorization, and apply machine learning to build and evaluate a classification model. Develop a reliable tool for identifying spam emails.
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Career tracks

track
lockOnly for Ultimate
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Web Development with C#

laptop7 Courses
list293 Tasks

Beginner

4.7
(2723)
track
lockOnly for Ultimate
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Python from Zero to Hero

laptop6 Courses
list195 Tasks

Beginner

4.6
(9801)
track
lockOnly for Ultimate
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SQL from Zero to Hero

laptop4 Courses
list115 Tasks

Beginner

4.7
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track
lockOnly for Ultimate
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Π‘++ Essentials

laptop6 Courses
list101 Tasks

Beginner

4.2
(624)
track
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Game Development with Unity

laptop4 Courses
list143 Tasks

Beginner

4.5
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track
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Become a React Developer

laptop4 Courses
list98 Tasks

Intermediate

4.3
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track
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Excel Essentials

laptop3 Courses
list39 Tasks

Beginner

4.6
(431)
track
lockOnly for Ultimate
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Java Essentials

laptop7 Courses
list376 Tasks

Beginner

4.5
(261)
track
lockOnly for Ultimate
track image

Full Stack Web Development

laptop7 Courses
list343 Tasks

Beginner

4.6
(979)
track
lockOnly for Ultimate
track image

Frontend Development Foundations

laptop6 Courses
list306 Tasks

Beginner

4.6
(935)
track
lockOnly for Ultimate
track image

Mastering Data Visualization

laptop5 Courses
list145 Tasks

Intermediate

4.6
(640)
track
lockOnly for Ultimate
track image

Machine Learning Mastery

laptop6 Courses
list177 Tasks

Intermediate

4.4
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C++ Mastery

laptop3 Courses
list70 Tasks

Advanced

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Java Web

laptop7 Courses
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Advanced

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Become a QA Engineer

laptop5 Courses
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Beginner

4.6
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Video Production with Adobe

laptop4 Courses
list125 Tasks

Beginner

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UI/UX Design Tools

laptop4 Courses
list162 Tasks

Beginner

4.7
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Essential Office Skills

laptop3 Courses
list75 Tasks

Beginner

4.7
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Digital Marketing Essentials

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Beginner

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Complete Social Media Management

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Beginner

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Business AI Toolkit

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No-Code Website Development

laptop3 Courses
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Beginner

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Deep Learning Odyssey

laptop5 Courses
list175 Tasks

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Web Development with C#

laptop7 Courses
list293 Tasks
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Python from Zero to Hero

laptop6 Courses
list195 Tasks
4.6
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SQL from Zero to Hero

laptop4 Courses
list115 Tasks
4.7
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Π‘++ Essentials

laptop6 Courses
list101 Tasks
4.2
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Game Development with Unity

laptop4 Courses
list143 Tasks
4.5
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Become a React Developer

laptop4 Courses
list98 Tasks
4.3
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Excel Essentials

laptop3 Courses
list39 Tasks
4.6
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Java Essentials

laptop7 Courses
list376 Tasks
4.5
track
track image
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Full Stack Web Development

laptop7 Courses
list343 Tasks
4.6
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track image
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Frontend Development Foundations

laptop6 Courses
list306 Tasks
4.6
track
track image
For Ultimate

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Mastering Data Visualization

laptop5 Courses
list145 Tasks
4.6
track
track image
For Ultimate

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Machine Learning Mastery

laptop6 Courses
list177 Tasks
4.4
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C++ Mastery

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list70 Tasks
4.3
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Java Web

laptop7 Courses
list278 Tasks
4.7
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Become a QA Engineer

laptop5 Courses
list237 Tasks
4.6
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Video Production with Adobe

laptop4 Courses
list125 Tasks
5.0
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UI/UX Design Tools

laptop4 Courses
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4.7
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Essential Office Skills

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4.7
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Digital Marketing Essentials

laptop6 Courses
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Complete Social Media Management

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Business AI Toolkit

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pencil-with-line2 Projects
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4.6
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No-Code Website Development

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Deep Learning Odyssey

laptop5 Courses
list175 Tasks
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course

Introduction to SQL

Introduction to SQL

This course is perfect for beginners ready to explore the world of SQL. Whether you're just starting out in database management or aiming to use SQL for your application development projects, this course covers the essentials. You'll quickly learn how to leverage the full potential of SQL, from querying and managing data to seamlessly integrating it into real-world applications. By the end of the course, you'll have the confidence and skills to solve practical problems with SQL and enhance your development process.

course

Intermediate SQL

Intermediate SQL

This course is perfect for those who already have a basic understanding of SQL and want to delve into more advanced concepts to craft more powerful queries. Throughout the course, you will become familiar with data grouping and filtering grouped data. You will also learn how to work with multiple tables simultaneously, including how to combine them. Additionally, you will explore different types of table joins and how to apply them in practice.

course

Pandas First Steps

Pandas First Steps

Pandas is an extremely user-friendly library for data analysis. It's also designed to handle large datasets, using data structures like DataFrame and Series. This makes it an invaluable tool for Data Science. In this guide, you'll get acquainted with a range of statistical functions, including how to find correlations, modes, medians, and maximum and minimum values within a dataset. You'll also learn how to handle missing values and manipulate specific values, as well as how to remove them.

course

Excel Formulas

Excel Formulas

Unlock the full potential of Excel by learning how to use formulas and functions to simplify tasks, analyze data, and work more efficiently. You'll explore everything from basic arithmetic and conditional logic to dynamic arrays and powerful lookup tools like VLOOKUP, MATCH, and INDIRECT. With practical examples and clear explanations, you'll build a solid foundation and discover smarter ways to manage and manipulate your spreadsheets.

course

Advanced Techniques in pandas

Advanced Techniques in pandas

This course contains a lot of useful functions for a future data analyst. You will learn different ways of extracting data and even set conditions on it. After it, you will be familiar with the methods of grouping data. Also, you will learn how to preprocess data. Each section has its data set so that the course will be gripping.

course

Ultimate NumPy

Ultimate NumPy

Unlock the full potential of Python's most essential library for numerical computing, NumPy. This comprehensive course is designed to take you from a beginner's understanding to an advanced level of proficiency in NumPy. Whether you're a data scientist, engineer, researcher, or developer, mastering NumPy is essential for efficient data manipulation, scientific computing, and machine learning.

course

Introduction to Neural Networks

Introduction to Neural Networks

Neural networks are powerful algorithms inspired by the structure of the human brain that are used to solve complex machine learning problems. You will build your own Neural Network from scratch to understand how it works. After this course, you will be able to create neural networks for solving classification and regression problems using the scikit-learn library.

course

Relational Database and Normalization

Relational Database and Normalization

This course delves into the theory behind relational databases. You'll learn what they are and see how they differ from non-relational databases. Throughout the course, we'll walk you through the ins and outs of database design and familiarize you with various types of relationships. Additionally, you'll explore the concepts of normalization and normal forms, equipping you with the knowledge to craft efficient and optimized databases.

course

ML Introduction with scikit-learn

ML Introduction with scikit-learn

Machine learning is now used everywhere. Want to learn it yourself? This course is an introduction to the world of Machine learning for you to learn basic concepts, work with Scikit-learn – the most popular library for ML and build your first Machine Learning project. This course is intended for students with a basic knowledge of Python, Pandas, and Numpy.

course

Ultimate Visualization with Python

Ultimate Visualization with Python

Data is everywhere around us, and making sense of it is extremely important. Visualization helps you deal with data by finding certain patterns and insights in it. You will develop a solid foundation of data visualization using Python and its libraries, such as matplotlib and seaborn, to get as much information from data as possible in a neat and concise way.

course

Databases in Python

Databases in Python

"Databases in Python" is a hands-on course designed to teach you the fundamentals of working with databases using Python, focusing on the sqlite3 library and SQLAlchemy. You’ll learn how to store, modify, and retrieve data, build efficient queries, and configure databases for your projects. The course covers both SQL basics and the ORM (Object-Relational Mapping) approach, which allows you to interact with databases through Python objects. This course is perfect for beginners looking to deepen their skills in data management, application development, and information handling.

course

Introduction to NLP

Introduction to NLP

Let's explore the fundamentals of Natural Language Processing (NLP) as you delve into text preprocessing techniques and various text models used to represent text data. You will gain practical insights and hands-on experience with the tools and methods essential for analyzing and interpreting textual data effectively. This course equips you with the skills to transform raw text into meaningful information, paving the way for advanced applications in AI and machine learning.

course

Web Scraping with Python

Web Scraping with Python

Learn to extract valuable data from websites automatically. Master techniques to gather information efficiently, enabling you to perform in-depth analysis, make data-driven decisions, and unlock new insights from the vast ocean of online information.

course

Introduction to TensorFlow

Introduction to TensorFlow

Dive deep into the world of TensorFlow with our course, designed to give you a robust understanding of its core components. Begin with an exploration of tensors and the basics of TensorFlow framework. By the course's end, you'll have honed the skills to build tensor-driven systems, including crafting a basic neural network. Equip yourself with the knowledge to harness TensorFlow's full potential and set the foundation for advanced deep learning pursuits.

project

Identifying Spam Emails

Identifying Spam Emails

Classify emails as spam or non-spam by analyzing the content of the emails. Preprocess the text data using techniques like tokenization and vectorization, and apply machine learning to build and evaluate a classification model. Develop a reliable tool for identifying spam emails.

course

Introduction to SQL

Introduction to SQL

This course is perfect for beginners ready to explore the world of SQL. Whether you're just starting out in database management or aiming to use SQL for your application development projects, this course covers the essentials. You'll quickly learn how to leverage the full potential of SQL, from querying and managing data to seamlessly integrating it into real-world applications. By the end of the course, you'll have the confidence and skills to solve practical problems with SQL and enhance your development process.

course

Intermediate SQL

Intermediate SQL

This course is perfect for those who already have a basic understanding of SQL and want to delve into more advanced concepts to craft more powerful queries. Throughout the course, you will become familiar with data grouping and filtering grouped data. You will also learn how to work with multiple tables simultaneously, including how to combine them. Additionally, you will explore different types of table joins and how to apply them in practice.

course

Pandas First Steps

Pandas First Steps

Pandas is an extremely user-friendly library for data analysis. It's also designed to handle large datasets, using data structures like DataFrame and Series. This makes it an invaluable tool for Data Science. In this guide, you'll get acquainted with a range of statistical functions, including how to find correlations, modes, medians, and maximum and minimum values within a dataset. You'll also learn how to handle missing values and manipulate specific values, as well as how to remove them.

course

Excel Formulas

Excel Formulas

Unlock the full potential of Excel by learning how to use formulas and functions to simplify tasks, analyze data, and work more efficiently. You'll explore everything from basic arithmetic and conditional logic to dynamic arrays and powerful lookup tools like VLOOKUP, MATCH, and INDIRECT. With practical examples and clear explanations, you'll build a solid foundation and discover smarter ways to manage and manipulate your spreadsheets.

course

Advanced Techniques in pandas

Advanced Techniques in pandas

This course contains a lot of useful functions for a future data analyst. You will learn different ways of extracting data and even set conditions on it. After it, you will be familiar with the methods of grouping data. Also, you will learn how to preprocess data. Each section has its data set so that the course will be gripping.

course

Ultimate NumPy

Ultimate NumPy

Unlock the full potential of Python's most essential library for numerical computing, NumPy. This comprehensive course is designed to take you from a beginner's understanding to an advanced level of proficiency in NumPy. Whether you're a data scientist, engineer, researcher, or developer, mastering NumPy is essential for efficient data manipulation, scientific computing, and machine learning.

course

Introduction to Neural Networks

Introduction to Neural Networks

Neural networks are powerful algorithms inspired by the structure of the human brain that are used to solve complex machine learning problems. You will build your own Neural Network from scratch to understand how it works. After this course, you will be able to create neural networks for solving classification and regression problems using the scikit-learn library.

course

Relational Database and Normalization

Relational Database and Normalization

This course delves into the theory behind relational databases. You'll learn what they are and see how they differ from non-relational databases. Throughout the course, we'll walk you through the ins and outs of database design and familiarize you with various types of relationships. Additionally, you'll explore the concepts of normalization and normal forms, equipping you with the knowledge to craft efficient and optimized databases.

course

ML Introduction with scikit-learn

ML Introduction with scikit-learn

Machine learning is now used everywhere. Want to learn it yourself? This course is an introduction to the world of Machine learning for you to learn basic concepts, work with Scikit-learn – the most popular library for ML and build your first Machine Learning project. This course is intended for students with a basic knowledge of Python, Pandas, and Numpy.

course

Ultimate Visualization with Python

Ultimate Visualization with Python

Data is everywhere around us, and making sense of it is extremely important. Visualization helps you deal with data by finding certain patterns and insights in it. You will develop a solid foundation of data visualization using Python and its libraries, such as matplotlib and seaborn, to get as much information from data as possible in a neat and concise way.

course

Databases in Python

Databases in Python

"Databases in Python" is a hands-on course designed to teach you the fundamentals of working with databases using Python, focusing on the sqlite3 library and SQLAlchemy. You’ll learn how to store, modify, and retrieve data, build efficient queries, and configure databases for your projects. The course covers both SQL basics and the ORM (Object-Relational Mapping) approach, which allows you to interact with databases through Python objects. This course is perfect for beginners looking to deepen their skills in data management, application development, and information handling.

course

Introduction to NLP

Introduction to NLP

Let's explore the fundamentals of Natural Language Processing (NLP) as you delve into text preprocessing techniques and various text models used to represent text data. You will gain practical insights and hands-on experience with the tools and methods essential for analyzing and interpreting textual data effectively. This course equips you with the skills to transform raw text into meaningful information, paving the way for advanced applications in AI and machine learning.

course

Web Scraping with Python

Web Scraping with Python

Learn to extract valuable data from websites automatically. Master techniques to gather information efficiently, enabling you to perform in-depth analysis, make data-driven decisions, and unlock new insights from the vast ocean of online information.

course

Introduction to TensorFlow

Introduction to TensorFlow

Dive deep into the world of TensorFlow with our course, designed to give you a robust understanding of its core components. Begin with an exploration of tensors and the basics of TensorFlow framework. By the course's end, you'll have honed the skills to build tensor-driven systems, including crafting a basic neural network. Equip yourself with the knowledge to harness TensorFlow's full potential and set the foundation for advanced deep learning pursuits.

project

Identifying Spam Emails

Identifying Spam Emails

Classify emails as spam or non-spam by analyzing the content of the emails. Preprocess the text data using techniques like tokenization and vectorization, and apply machine learning to build and evaluate a classification model. Develop a reliable tool for identifying spam emails.
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