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This is a hands-on course that will help you understand the basics of object-oriented programming in Python. You will learn how to create classes, work with objects, use inheritance, and extend the capabilities of your programs.

Analyze real-world retail transaction data to uncover customer purchasing patterns, peak shopping periods, and top-selling products for data-driven business optimization.

In this project, you'll embark on a journey of game development, learning essential programming concepts while honing your creativity and problem-solving skills. Through step-by-step tutorials, you'll build a fully functional Snake game from scratch.

A terminal-based Hangman game built step by step using Python. The project combines string manipulation, control flow, user input handling, and modular design to create a fully playable game with visual ASCII output and optional hints. The final result demonstrates how small utility functions can be orchestrated into a complete interactive application.

Unlock the power of regular expressions in Python with our comprehensive course designed for both beginners and experienced developers. This course will take you through the essential functions of the re module, including search, findall, finditer, and more, using practical examples and hands-on exercises. You'll learn how to extract and manipulate text data efficiently, enabling you to tackle complex string processing tasks with confidence. Whether you're looking to enhance your data analysis skills or streamline your coding workflow, this course provides the tools and knowledge to master regular expressions and elevate your programming capabilities.

Build a modular C++ terminal application that estimates investment growth over time. The project guides you through implementing reusable functions for input collection, validation, interest calculations, and formatted reporting, all using standard C++ and procedural programming.

Explore how romantic relationships may impact academic performance differently for male and female students using statistical analysis and visualization.

Learn to build and evaluate a collaborative filtering recommender system using real-world user ratings data for personalized book recommendations.

This project teaches practical fraud detection using machine learning, focusing on data preprocessing, model training, evaluation, and threshold optimization.

Build a terminal-based C++ project to collect, filter, and report errors using small, value-returning functions. You'll design an error model, manage collections, filter and count errors, format them for output, and generate readable reports.

Explore Airbnb listings in New York by cleaning, filtering, and visualizing data to identify optimal neighborhoods, prices, and listing types.

A hands-on case study where you will analyze, visualize, and model individual health insurance costs using Python and pandas. You will clean and explore the data, extract insights, preprocess features, build a regression model, and interpret the results to understand what drives insurance pricing.