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R Programming for Data Science and Statistical Analysis

Learn R programming from scratch to perform statistical analysis, clean complex datasets, and build professional data visualizations with ggplot2.
★ 4.5 (5,893)

AI for Business: A Practical Introduction

Learn how machine learning, data analysis, and automation can drive growth and efficiency in your organization.
★ 3.9 (227)

Building Full-Stack Web Apps with Vue 3 and Firebase

Master Vue 3 and Firebase to build, secure, and deploy dynamic, real-time single-page applications from the ground up.
★ 4.7 (7,873)

Unsupervised Machine Learning and Clustering in Python

Discover how to find hidden patterns in unlabeled data using k-means, hierarchical clustering, and density estimation with practical Python implementations.
★ 4.7 (5,236)

Machine Learning with JavaScript and TensorFlow.js

Learn to build, train, and deploy machine learning models directly in the browser using JavaScript, even if you have no prior data science experience.
★ 4.7 (3,503)

Python Programming and Practical Problem Solving

Build a strong foundation in Python by learning to write clean, efficient code for automation, data analysis, and modern software development.
★ 4.4 (1,019)

Architecting .NET Core MVC Applications with Clean Architecture

Learn to structure scalable web applications using ASP.NET Core, Entity Framework Core, and Identity while building a real-world booking system.
★ 4.6 (2,841)

C# Programming for Beginners: Learn the Core Fundamentals

Master the essential syntax, logic, and structure of C# to confidently write your first programs and prepare for desktop, web, and mobile application development.
★ 4.2 (3,744)

Practical Python Programming and Blockchain Fundamentals

Learn Python from the ground up and apply your skills to build a functional blockchain through structured written lessons and practical coding exercises.
★ 4.8 (5,678)

Go Programming: Learn Golang from Scratch with Hands-On Projects

Build a solid foundation in Go by writing clean code, understanding language internals, and solving practical programming challenges from scratch.
★ 4.7 (3,991)

AWS Data Engineering: Building Analytics Pipelines

Learn to design, build, and manage robust data pipelines using AWS analytics services like Glue, Redshift, Athena, and Kinesis for modern cloud data architectures.
★ 4.4 (3,483)

Simulink and MATLAB for System Modeling and Simulation

Master the fundamentals of system simulation by building practical models and leveraging AI tools to streamline your engineering and mathematical workflows.
★ 4.5 (7,406)

Build and Monetize Your First Custom GPT

A beginner's guide to designing, launching, and earning from your own AI agents in the ChatGPT Store.
★ 4.5 (221)

Practical JavaScript Unit Testing with Vitest and Jest

Write reliable automated unit and integration tests for your frontend and backend JavaScript applications using modern testing frameworks.
★ 4.7 (5,379)

React Web Development: Build Practical Frontend Applications

Master React fundamentals, hooks, and REST API integration by reading step-by-step guides and building real-world frontend projects.
★ 4.6 (290)

Prompt Engineering: Frameworks and Techniques for LLMs

Learn to design, optimize, and evaluate prompts using structured frameworks to get reliable, high-quality outputs from large language models.
★ 4.5 (5,028)

Data Cleansing and Quality Management with SAP

Learn how to identify duplicates, resolve inaccuracies, and maintain high-quality master data using SAP governance tools and modern data profiling techniques.
★ 4.1 (152)

C# Clean Code: Refactoring Techniques for Readable Programs

Learn how to identify code smells, simplify complex logic, and write highly maintainable C# code using modern best practices.
★ 4.6 (5,653)

Full-Stack JavaScript: Build an Application with the MERN Stack

Learn to create modern, data-driven web applications from scratch using React, Node.js, Express, and MongoDB.
★ 3.9 (493)

SAP Query Reporting and Data Analysis Fundamentals

Learn to build custom business reports and extract actionable data insights directly from SAP without writing complex code.
★ 3.5 (168)

C Programming Foundations: A Step-by-Step Practical Guide

Master the core principles of software development by learning C syntax and logic through clear written explanations and practical coding exercises.
★ 4.3 (648)

Building a Social Network from Scratch with PHP, MySQL, and JavaScript

Develop a fully functional social media platform from scratch while mastering database relationships, secure user authentication, and dynamic front-end updates.
★ 4.7 (358)

Hands-On Git and GitHub: Step-by-Step Version Control

Learn to track code changes, collaborate on software projects, and master essential Git and GitHub workflows through step-by-step practical exercises.
★ 4.5 (1,041)

Python and Pandas for Machine Learning Foundations

Go from basic programming concepts to manipulating and preparing real-world data for machine learning models.
★ 4.7 (2,964)