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TEST TRACK 12

Beginner

Full Stack Web Development

Beginner

Become a React Developer

Intermediate

Mastering Data Visualization

Intermediate

SQL from Zero to Hero

Beginner

С++ Essentials

Beginner

Python from Zero to Hero

Beginner

Machine Learning Mastery

Intermediate

Python Beyond Intermediate

Beginner

Java Essentials

Beginner

Game Development with Unity

Beginner

Become a Django Developer

Advanced

Flask for Dummies

Intermediate

Frontend Development Foundations

Beginner

Web Developer from Zero to Hero

Beginner

Preparation for Data Science

Intermediate

Deep Learning Odyssey

Advanced

Web Development with C#

Beginner

TEST E2E TRACK BEGINNER

Beginner

Test Track

Skilled Python BackEnd Developer

Advanced

Test Recalculate

Beginner

Excel Essentials

Beginner

Full-Stack .NET Developer Journey

Intermediate

Full-Stack .NET Developer Journey

Intermediate

Test track with rating

Advanced

TEST TEST TRACK

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Beginner

track

Only for Ultimate

Data Analyst Foundation

Beginner

C++ Mastery

Advanced

Java Web

Advanced

Become a QA Engineer

Beginner

Video Production with Adobe

Beginner

UI/UX Design Tools

Beginner

Test image upload track

Beginner

Essential Office Skills

Beginner

GitHub from Zero to Hero

Beginner

No-Code Website Development

Beginner

C Programming & Low-Level Development

Beginner

testes

Beginner

Test translation track

Intermediate

Test CMS Track

Beginner

Python for Data Analysis

Intermediate

Digital Marketing Essentials

Beginner

Complete Social Media Management

Beginner

Business AI Toolkit

Beginner

Courses & Projects

Creating Plots for Data Visualization

We'll explore various data visualization techniques and learn how to use them effectively. We'll cover topics such as box plots, line plots, bar plots, scatter plots, histograms, subplots, and heat maps. By the end of this project, you'll be able to create visualizations that communicate your data stories clearly and effectively.

Gaining Insights with Data Visualization

In this project, we are going to understand the meaning of Data Visualization and its powers.

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.

Image Synthesis Through Generative Networks

Discover the artistry behind image generation using generative networks in our course. From theory to practice, delve into the world of generative networks, unlocking the secrets to crafting captivating images from data.

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.

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.

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.

Software Architecture Fundamentals

Software architecture is essential for building scalable, maintainable, and high-performing software systems. This course provides a comprehensive introduction to core design principles and practices, covering both high-level and low-level concepts. We will explore key architectures and modern development techniques, gaining the skills needed to design effective solutions for real-world projects.

Unveiling the Power of Data Manipulation with Pandas

In this project, we are going to understand what Pandas is and why it is so powerful.

Building Image Manipulation Pipeline

This project focuses on improving and mastering the essential skills of image manipulation using Python. We will perform all basic operations, from importing and displaying images to saving, resizing, and enhancing them through techniques like smoothing and erosion. Additionally, the project covers more advanced manipulations, such as scaling, rotating, shifting, and edge detection, along with drawing shapes like lines and rectangles. By the end of this project, you will have a comprehensive understanding of how to handle and manipulate images effectively using Python.

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.

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!

Cluster Analysis

Gain a solid understanding of cluster analysis, a key unsupervised learning technique for uncovering patterns in unlabeled data. Explore the essentials of K-Means, Hierarchical Clustering, DBSCAN, and GMMs, and get hands-on experience with real datasets to build confidence in applying clustering to real-world problems.

Clustering Demystified

In this project, we are going to understand what a cluster is and how to use it in Python.

Data Anomaly Detection

Anomaly detection is integral to any data scientist's work: high-quality, cleaned, and well-prepared data is the key to success for almost any machine learning problem.

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Technologies

Topic

Level

Type of lesson

Career tracks

TEST TRACK 12

Full Stack Web Development

Become a React Developer

Mastering Data Visualization

SQL from Zero to Hero

С++ Essentials

Python from Zero to Hero

Machine Learning Mastery

Python Beyond Intermediate

Java Essentials

Game Development with Unity

Become a Django Developer

Flask for Dummies

Frontend Development Foundations

Web Developer from Zero to Hero

Preparation for Data Science

Deep Learning Odyssey

Web Development with C#

TEST E2E TRACK BEGINNER

Test Track

Skilled Python BackEnd Developer

Test Recalculate

Excel Essentials

Full-Stack .NET Developer Journey

Full-Stack .NET Developer Journey

Test track with rating

TEST TEST TRACK

Data Analyst Foundation

C++ Mastery

Java Web

Become a QA Engineer

Video Production with Adobe

UI/UX Design Tools

Test image upload track

Essential Office Skills

GitHub from Zero to Hero

No-Code Website Development

C Programming & Low-Level Development

testes

Test translation track

Test CMS Track

Python for Data Analysis

Digital Marketing Essentials

Complete Social Media Management

Business AI Toolkit

Courses & Projects

Career tracks

TEST TRACK 12

Full Stack Web Development

Become a React Developer

Mastering Data Visualization

SQL from Zero to Hero

С++ Essentials

Python from Zero to Hero

Machine Learning Mastery

Python Beyond Intermediate

Java Essentials

Game Development with Unity

Become a Django Developer

Flask for Dummies

Frontend Development Foundations

Web Developer from Zero to Hero

Preparation for Data Science

Deep Learning Odyssey

Web Development with C#

TEST E2E TRACK BEGINNER

Test Track

Skilled Python BackEnd Developer

Test Recalculate

Excel Essentials

Full-Stack .NET Developer Journey

Full-Stack .NET Developer Journey

Test track with rating

TEST TEST TRACK

Data Analyst Foundation