C++ Conditional Statements

1 hour

13 chapters

Beginner

Welcome to a beginner-friendly course that will help you learn the core concepts of conditional statements in C++. Whether you're new to programming or looking to improve your understanding of conditional statements and how they influence the flow of your C++ programs, this course is designed to meet your needs.

View details

Introduction to TypeScript

3 hours

34 chapters

Beginner

This course is designed for absolute beginners who want to master the basics of the TypeScript programming language. TypeScript is a modern and powerful language that extends the capabilities of JavaScript, making your code more reliable and readable. We will start from the very basics, covering variables, data types, comparison operators, and conditional statements. Then, we will delve into working with arrays and loops. Upon completing this course, you will be ready to create simple programs in TypeScript and continue your learning journey into more advanced topics.

View details

Algorithms and Data Structures Overview

3 hours

23 chapters

Intermediate

The understanding of data structures and algorithms: this is what sets advanced professionals apart from the rest. In the modern world of growing data, it is very important to be able to process large amounts of data efficiently. In this course, you will study the most basic data structures that help us to deal with huge amounts of data as well as implement the most basic and crucial concepts on your own so you’ll get a deeper understanding of how each data structure works and you'll be able to decide what data structure best suited for your task.

View details

Introduction to TensorFlow

3 hours

18 chapters

Advanced

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.

View details

Advanced JavaScript Mastery

8 hours

45 chapters

Advanced

This course provides an in-depth exploration of key JavaScript principles, focusing on classes, DOM manipulation, event handling, and asynchronous programming. You'll learn to create dynamic and interactive elements, manage user interactions, and handle asynchronous operations. Through a blend of theory and hands-on challenges, this course helps you build practical JavaScript skills for real-world applications.

View details

Identifying Spam Emails

2 hours

11 chapters

Advanced

We are going to classify emails as spam or non-spam by analyzing the content of the emails. We will preprocess the text data using techniques like tokenization and vectorization, then apply machine learning to build and evaluate a classification model, namely Logistic Regression. By the end of the project, we aim to develop a reliable tool for identifying spam emails.

View details

C++ Templates

2 hours

17 chapters

Intermediate

Templates are a powerful feature that allows the creation of generic functions and classes. This course is designed to provide a comprehensive understanding of C++ templates, from basic syntax to advanced techniques. Participants will learn how to use templates to write efficient, reusable code and create generic algorithms and data structures.

View details

Networking Fundamentals

4 hours

42 chapters

Beginner

Networking Fundamentals is a comprehensive course designed for beginners and intermediate learners aiming to build practical skills in networking. Covering everything from foundational concepts to advanced applications, the course takes you through key topics including network types, IP addressing, protocols, and network security. By the end of this course, you'll be equipped with essential skills to troubleshoot, secure, and manage networks effectively, setting a solid foundation for further specialization in networking.

View details

Advanced Probability Theory

5 hours

27 chapters

Advanced

Statistics and probability theory are fundamental tools in data analysis, decision-making, and scientific research. They provide a systematic and quantitative way to understand and interpret data, make predictions, and draw conclusions based on evidence. Now we will consider all additional topics necessary for Data Science and Data Analytics.

View details

Automating Data Collection from Web Sources

1 hour

7 chapters

Intermediate

In this project, we are going to understand how to create a simple web scraper in Python.

View details

Clustering Demystified

1 hour

10 chapters

Intermediate

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.

View details

Predicting Profitable Euro-Dollar Exchange Signals

3 hours

20 chapters

Advanced

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.

View details

Tweet Sentiment Analysis

2 hours

10 chapters

Advanced

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.

View details

Learning Statistics with Python

6 hours

38 chapters

Advanced

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.

View details

Probability Theory Basics

3 hours

26 chapters

Intermediate

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.

View details