All Courses & Projects

Pick the Right Investments for Your Life

Gain a solid understanding of how to select investments tailored to your life goals, from portfolio construction and fund selection to tax efficiency and practical portfolio management.

Ping Pong Game

Build a fully functional terminal-based Ping Pong game in Python using the curses library. This hands-on course guides you step-by-step through terminal graphics, game state management, real-time input, and game loop design.

Planning Your Financial Future for the Long Game

Stop reacting to money and start directing it. Calculate the exact number that makes work optional. Build a retirement that survives decades. Protect what gets accumulated. Navigate aging parents, generational wealth, and the family conversations nobody wants to have — until crisis forces them.

Pokemon Power Analysis

Embark on a hands-on data science adventure in the Pokémon universe! Analyze Pokémon stats, engineer features, and build a machine learning model to predict Legendary status. This project guides you through real-world data science workflows using pandas, seaborn, and scikit-learn, all while exploring the mysteries of Pokémon power.

Poll System

Build a beginner-friendly, step-by-step Java OOP project for a console-based Poll System. Learn to design and implement classes, methods, and a simple interactive menu using core Java concepts.

PowerShell Basics

This course introduces the essentials of PowerShell for those new to scripting and automation. You will learn how to run scripts, use basic commands, work with variables and types, manipulate objects, use pipelines, manage files, handle errors, and automate tasks. Each section builds practical skills with clear examples and hands-on code samples.

Practical AI for Work (copy) 1784029546618

A hands-on, beginner-friendly course designed for non-technical business users to understand and leverage AI tools and concepts in their daily work. The course covers foundational AI concepts, effective communication with AI, practical use of AI-powered tools, and building simple AI assistants.

Practical AI for Work (init script copy)

A hands-on, beginner-friendly course designed for non-technical business users to understand and leverage AI tools and concepts in their daily work. The course covers foundational AI concepts, effective communication with AI, practical use of AI-powered tools, and building simple AI assistants.

Practical AI for Work Clone

A hands-on, beginner-friendly course designed for non-technical business users to understand and leverage AI tools and concepts in their daily work. The course covers foundational AI concepts, effective communication with AI, practical use of AI-powered tools, and building simple AI assistants.

Practical Penetration Testing

A hands-on course guiding learners through the essentials of web application and API penetration testing, from foundational concepts to exploitation techniques and professional reporting. Includes real-world scenarios, practical tasks, and review questions to reinforce learning.

Predict Game Outcomes with a Decision Tree

Build a Decision Tree classifier to predict basketball game outcomes (Win/Loss/Draw) using real match statistics. This hands-on project guides you through the full machine learning workflow: data exploration, preprocessing, model training, evaluation, interpretation, and making predictions.

Predicting Data Scientist Salaries

Build a complete data science workflow to predict dynamic taxi fares using linear regression. Explore, clean, and analyze real-world ride and weather data, engineer features from timestamps, and interpret model results to understand the impact of weather conditions, time of day, and surge pricing mechanisms.

Predicting Laptop Prices

A hands-on case study guiding you through building a laptop price prediction model using real-world data. You'll learn to load, clean, and engineer features from a dataset, perform exploratory analysis, encode categorical variables, build a regression model, and interpret its results.

Predicting Viral Webtoons

A hands-on, linear-code case study where you build an end-to-end regression model to predict webcomic popularity using NLP and categorical features, following strict constraints: no custom functions, only vectorized pandas and scikit-learn tools, and a single dataset load.

Principal Component Analysis in Python

A comprehensive intermediate course guiding learners through the motivation, mathematical foundations, and practical implementation of Principal Component Analysis (PCA) for dimensionality reduction in data science and machine learning.

Technologies

Topic

Level

Type of lesson

Career tracks

Complete Claude Ecosystem

AI Toolkit for Business

AI-Assisted Web Developer

Business Intelligence Specialist

Python from Zero to Hero

Courses & Projects

Career tracks

Complete Claude Ecosystem

AI Toolkit for Business

AI-Assisted Web Developer

Business Intelligence Specialist

Python from Zero to Hero

track

Complete Claude Ecosystem

track

AI Toolkit for Business

track

AI-Assisted Web Developer

track

Business Intelligence Specialist

track

Python from Zero to Hero

Courses & Projects

Technologies