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Essential Office Skills

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Courses & Projects

project

Classifying Tweet Sentiments

Classifying Tweet Sentiments

We are going to classify tweets according to their sentiment, determining whether they express positive, negative, or neutral emotions. We will employ natural language processing techniques to preprocess the text data, and machine learning algorithms to build and evaluate sentiment classification models. By the end of the project, we aim to achieve a robust sentiment analysis tool that can accurately categorize the emotional tone of various tweets.

project

Clustering Media Content

Clustering Media Content

Now we are going to understand what a cluster is and how to use it in Python. We will explore the concept of clustering, which involves grouping a set of objects in such a way that objects in the same group (or cluster) are more similar to each other than to those in other groups. Additionally, we will demonstrate how to implement clustering algorithms using Python's popular libraries, such as scikit-learn, to identify patterns and insights within your data.

project

Predicting Profitable Euro-Dollar Exchange Signals

Predicting Profitable Euro-Dollar Exchange Signals

In this course, we will examine the currency exchange rate relative to the euro. Our analysis will include Exploratory Data Analysis (EDA), generating visualizations, and developing a strategy to determine opportune moments for purchasing dollars. This strategy will involve trend detection techniques and constructing moving average curves to identify potential profit opportunities.

course

Learning Statistics with Python

Learning Statistics with Python

This course gives you a basic knowledge of statistics. It is intended for students with basic knowledge of Python syntax as they will be working with NumPy and pandas modules. During the course, you will become familiar with the basic concepts and then gradually move on to more complex concepts and tasks.

course

C++ Pointers and References

C++ Pointers and References

Unlock the Power of Memory Manipulation. Dive deep into the fundamentals of programming with this comprehensive course designed for beginners and individuals seeking to strengthen their knowledge on pointers and references in C++. Mastering these essential concepts is crucial for unleashing the full potential of your programming skills.

course

Probability Theory Basics

Probability Theory Basics

Probability theory is a fundamental branch of mathematics that deals with the study of uncertainty and randomness. It provides a framework for understanding and quantifying uncertainty in various fields, including statistics, data analysis, machine learning, finance, physics, and more.

course

C++ Loops

C++ Loops

C++ Loops from scratch. Master one of the fundamental building blocks for programming. This course is perfect for beginners and those looking to solidify their understanding of loops.

course

C++ Functions

C++ Functions

Explore the world of C++ functions and delve into their fundamental concepts and practical applications. Gain proficiency in declaring, using, and optimizing functions, including parameter handling, scope management, and function overloading. Learn about recursion, templates, and lambda expression for robust C++ programming. Develop the skills to create modular, efficient, and reusable functions for real-world coding challenges.

project

Getting into NumPy Basics

Getting into NumPy Basics

In this project, we will delve into the fundamentals of NumPy, exploring its core features and uncovering the reasons behind its significant impact on scientific computing. By understanding its architecture and capabilities, we will grasp why it is considered an essential tool for data scientists, researchers, and developers working in the realm of data analysis, machine learning, and beyond.

project

Departments' Revenue Analysis

Departments' Revenue Analysis

We will use pandas to analyze departmental data by exploring, cleaning, and manipulating the dataset. Starting with basic inspection and data cleaning, we'll perform filtering, merge datasets, apply advanced filtering using multiple conditions, and finally group the data to extract meaningful insights.

course

Linear Regression with Python

Linear Regression with Python

Linear Regression is a crucial concept in predictive analytics. It is widely used by data scientists, data analytics, and statisticians as it is easy to build and interpret but powerful enough for many tasks.

course

Classification with Python

Classification with Python

In machine learning, classification is used in predictive modeling to assign input data with a class label. Sounds difficult? Don't worry! Let's cope with this! Welcome to the ML!

project

Organizing Date and Time Data for Analysis and Applications

Organizing Date and Time Data for Analysis and Applications

In this project, we are going to understand how to handle Date and Times in Python.

course

C++ Smart Pointers

C++ Smart Pointers

Unlock the power of memory management. Designed seasoned programmers, this course provides a deep dive into one of the most crucial aspects of modern development and revise about pointers and references. With Smart Pointers, you'll learn how to effectively manage memory allocation and deallocation, avoiding common pitfalls like memory leaks and dangling pointers. Our expert instructors guide you through the intricacies of unique_ptr, shared_ptr, and weak_ptr, empowering you to write safer and more robust code.

project

Excel Automation with Python (project)

Excel Automation with Python (project)

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

laptop7 Courses
list293 Tasks
Beginner
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Python from Zero to Hero

laptop6 Courses
list169 Tasks
Beginner
4.7
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lockOnly for Ultimate
track image

SQL from Zero to Hero

laptop4 Courses
list115 Tasks
Beginner
4.7
(2549)
track
lockOnly for Ultimate
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С++ Essentials

laptop6 Courses
list101 Tasks
Beginner
4.4
(446)
track
lockOnly for Ultimate
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Game Development with Unity

laptop4 Courses
list143 Tasks
Beginner
4.7
(67)
track
lockOnly for Ultimate
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Become a React Developer

laptop5 Courses
list119 Tasks
Intermediate
4.6
(63)
track
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Excel Essentials

laptop3 Courses
list39 Tasks
Beginner
4.7
(263)
track
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Data Analyst Foundation

laptop4 Courses
list96 Tasks
Beginner
4.8
(2428)
track
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Java Essentials

laptop7 Courses
list377 Tasks
Beginner
4.7
(181)
track
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Python Beyond Intermediate

laptop2 Courses
pencil-with-line1 Project
list65 Tasks
Beginner
4.7
(58)
track
lockOnly for Ultimate
track image

Full Stack Web Development

laptop7 Courses
list330 Tasks
Beginner
4.7
(826)
track
lockOnly for Ultimate
track image

Frontend Development Foundations

laptop6 Courses
list293 Tasks
Beginner
4.7
(797)
track
lockOnly for Ultimate
track image

Mastering Data Visualization

laptop5 Courses
list146 Tasks
Intermediate
4.7
(533)
track
lockOnly for Ultimate
track image

Supervised Machine Learning

laptop5 Courses
list123 Tasks
Intermediate
4.6
(121)
track
lockOnly for Ultimate
track image

C++ Mastery

laptop3 Courses
list71 Tasks
Advanced
4.8
(16)
track
lockOnly for Ultimate
track image

Java Web

laptop6 Courses
list239 Tasks
Advanced
4.7
(1133)
track
lockOnly for Ultimate
track image

Become a QA Engineer

laptop5 Courses
list223 Tasks
Beginner
4.7
(692)
track
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track image

Video Production with Adobe

laptop4 Courses
list125 Tasks
Beginner
5.0
(5)
track
lockOnly for Ultimate
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UI/UX Design Tools

laptop3 Courses
list119 Tasks
Beginner
5.0
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track
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Essential Office Skills

laptop3 Courses
list75 Tasks
Beginner
4.8
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project

Classifying Tweet Sentiments

Classifying Tweet Sentiments

We are going to classify tweets according to their sentiment, determining whether they express positive, negative, or neutral emotions. We will employ natural language processing techniques to preprocess the text data, and machine learning algorithms to build and evaluate sentiment classification models. By the end of the project, we aim to achieve a robust sentiment analysis tool that can accurately categorize the emotional tone of various tweets.

project

Clustering Media Content

Clustering Media Content

Now we are going to understand what a cluster is and how to use it in Python. We will explore the concept of clustering, which involves grouping a set of objects in such a way that objects in the same group (or cluster) are more similar to each other than to those in other groups. Additionally, we will demonstrate how to implement clustering algorithms using Python's popular libraries, such as scikit-learn, to identify patterns and insights within your data.

project

Predicting Profitable Euro-Dollar Exchange Signals

Predicting Profitable Euro-Dollar Exchange Signals

In this course, we will examine the currency exchange rate relative to the euro. Our analysis will include Exploratory Data Analysis (EDA), generating visualizations, and developing a strategy to determine opportune moments for purchasing dollars. This strategy will involve trend detection techniques and constructing moving average curves to identify potential profit opportunities.

course

Learning Statistics with Python

Learning Statistics with Python

This course gives you a basic knowledge of statistics. It is intended for students with basic knowledge of Python syntax as they will be working with NumPy and pandas modules. During the course, you will become familiar with the basic concepts and then gradually move on to more complex concepts and tasks.

course

C++ Pointers and References

C++ Pointers and References

Unlock the Power of Memory Manipulation. Dive deep into the fundamentals of programming with this comprehensive course designed for beginners and individuals seeking to strengthen their knowledge on pointers and references in C++. Mastering these essential concepts is crucial for unleashing the full potential of your programming skills.

course

Probability Theory Basics

Probability Theory Basics

Probability theory is a fundamental branch of mathematics that deals with the study of uncertainty and randomness. It provides a framework for understanding and quantifying uncertainty in various fields, including statistics, data analysis, machine learning, finance, physics, and more.

course

C++ Loops

C++ Loops

C++ Loops from scratch. Master one of the fundamental building blocks for programming. This course is perfect for beginners and those looking to solidify their understanding of loops.

course

C++ Functions

C++ Functions

Explore the world of C++ functions and delve into their fundamental concepts and practical applications. Gain proficiency in declaring, using, and optimizing functions, including parameter handling, scope management, and function overloading. Learn about recursion, templates, and lambda expression for robust C++ programming. Develop the skills to create modular, efficient, and reusable functions for real-world coding challenges.

project

Getting into NumPy Basics

Getting into NumPy Basics

In this project, we will delve into the fundamentals of NumPy, exploring its core features and uncovering the reasons behind its significant impact on scientific computing. By understanding its architecture and capabilities, we will grasp why it is considered an essential tool for data scientists, researchers, and developers working in the realm of data analysis, machine learning, and beyond.

project

Departments' Revenue Analysis

Departments' Revenue Analysis

We will use pandas to analyze departmental data by exploring, cleaning, and manipulating the dataset. Starting with basic inspection and data cleaning, we'll perform filtering, merge datasets, apply advanced filtering using multiple conditions, and finally group the data to extract meaningful insights.

course

Linear Regression with Python

Linear Regression with Python

Linear Regression is a crucial concept in predictive analytics. It is widely used by data scientists, data analytics, and statisticians as it is easy to build and interpret but powerful enough for many tasks.

course

Classification with Python

Classification with Python

In machine learning, classification is used in predictive modeling to assign input data with a class label. Sounds difficult? Don't worry! Let's cope with this! Welcome to the ML!

project

Organizing Date and Time Data for Analysis and Applications

Organizing Date and Time Data for Analysis and Applications

In this project, we are going to understand how to handle Date and Times in Python.

course

C++ Smart Pointers

C++ Smart Pointers

Unlock the power of memory management. Designed seasoned programmers, this course provides a deep dive into one of the most crucial aspects of modern development and revise about pointers and references. With Smart Pointers, you'll learn how to effectively manage memory allocation and deallocation, avoiding common pitfalls like memory leaks and dangling pointers. Our expert instructors guide you through the intricacies of unique_ptr, shared_ptr, and weak_ptr, empowering you to write safer and more robust code.

project

Excel Automation with Python (project)

Excel Automation with Python (project)

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

project

Classifying Tweet Sentiments

Classifying Tweet Sentiments

We are going to classify tweets according to their sentiment, determining whether they express positive, negative, or neutral emotions. We will employ natural language processing techniques to preprocess the text data, and machine learning algorithms to build and evaluate sentiment classification models. By the end of the project, we aim to achieve a robust sentiment analysis tool that can accurately categorize the emotional tone of various tweets.

project

Clustering Media Content

Clustering Media Content

Now we are going to understand what a cluster is and how to use it in Python. We will explore the concept of clustering, which involves grouping a set of objects in such a way that objects in the same group (or cluster) are more similar to each other than to those in other groups. Additionally, we will demonstrate how to implement clustering algorithms using Python's popular libraries, such as scikit-learn, to identify patterns and insights within your data.

project

Predicting Profitable Euro-Dollar Exchange Signals

Predicting Profitable Euro-Dollar Exchange Signals

In this course, we will examine the currency exchange rate relative to the euro. Our analysis will include Exploratory Data Analysis (EDA), generating visualizations, and developing a strategy to determine opportune moments for purchasing dollars. This strategy will involve trend detection techniques and constructing moving average curves to identify potential profit opportunities.

course

Learning Statistics with Python

Learning Statistics with Python

This course gives you a basic knowledge of statistics. It is intended for students with basic knowledge of Python syntax as they will be working with NumPy and pandas modules. During the course, you will become familiar with the basic concepts and then gradually move on to more complex concepts and tasks.

course

C++ Pointers and References

C++ Pointers and References

Unlock the Power of Memory Manipulation. Dive deep into the fundamentals of programming with this comprehensive course designed for beginners and individuals seeking to strengthen their knowledge on pointers and references in C++. Mastering these essential concepts is crucial for unleashing the full potential of your programming skills.

course

Probability Theory Basics

Probability Theory Basics

Probability theory is a fundamental branch of mathematics that deals with the study of uncertainty and randomness. It provides a framework for understanding and quantifying uncertainty in various fields, including statistics, data analysis, machine learning, finance, physics, and more.

course

C++ Loops

C++ Loops

C++ Loops from scratch. Master one of the fundamental building blocks for programming. This course is perfect for beginners and those looking to solidify their understanding of loops.

course

C++ Functions

C++ Functions

Explore the world of C++ functions and delve into their fundamental concepts and practical applications. Gain proficiency in declaring, using, and optimizing functions, including parameter handling, scope management, and function overloading. Learn about recursion, templates, and lambda expression for robust C++ programming. Develop the skills to create modular, efficient, and reusable functions for real-world coding challenges.

project

Getting into NumPy Basics

Getting into NumPy Basics

In this project, we will delve into the fundamentals of NumPy, exploring its core features and uncovering the reasons behind its significant impact on scientific computing. By understanding its architecture and capabilities, we will grasp why it is considered an essential tool for data scientists, researchers, and developers working in the realm of data analysis, machine learning, and beyond.

project

Departments' Revenue Analysis

Departments' Revenue Analysis

We will use pandas to analyze departmental data by exploring, cleaning, and manipulating the dataset. Starting with basic inspection and data cleaning, we'll perform filtering, merge datasets, apply advanced filtering using multiple conditions, and finally group the data to extract meaningful insights.

course

Linear Regression with Python

Linear Regression with Python

Linear Regression is a crucial concept in predictive analytics. It is widely used by data scientists, data analytics, and statisticians as it is easy to build and interpret but powerful enough for many tasks.

course

Classification with Python

Classification with Python

In machine learning, classification is used in predictive modeling to assign input data with a class label. Sounds difficult? Don't worry! Let's cope with this! Welcome to the ML!

project

Organizing Date and Time Data for Analysis and Applications

Organizing Date and Time Data for Analysis and Applications

In this project, we are going to understand how to handle Date and Times in Python.

course

C++ Smart Pointers

C++ Smart Pointers

Unlock the power of memory management. Designed seasoned programmers, this course provides a deep dive into one of the most crucial aspects of modern development and revise about pointers and references. With Smart Pointers, you'll learn how to effectively manage memory allocation and deallocation, avoiding common pitfalls like memory leaks and dangling pointers. Our expert instructors guide you through the intricacies of unique_ptr, shared_ptr, and weak_ptr, empowering you to write safer and more robust code.

project

Excel Automation with Python (project)

Excel Automation with Python (project)

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