lethienhoavn

lethienhoavn / Data-Science-Courses

Public

Roadmap and Materials for learning practical Data Science

16
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100% credibility
Found Feb 20, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A GitHub repository sharing roadmaps, presentation slides, project ideas, and resources from Data Science and AI courses taught by the author.

How It Works

1
🔍 Find Free Learning Resources

You search online and stumble upon this collection of guides and lessons for learning data science and AI.

2
📋 Browse the Course List

You look at the easy-to-read menu showing full courses, quick bootcamps, and inspiring talks.

3
🗺️ See the Learning Roadmap

A big, clear picture shows the step-by-step path from basics to advanced skills, making it exciting to start.

4
📖 Pick a Lesson

You choose a topic like Python basics or customer growth models and click the link to open helpful slides.

5
💡 Study the Slides

You flip through colorful presentations full of simple explanations, tips, and real-world examples.

6
🚀 Check Student Projects

You get inspired by top student work and project ideas to try your own hands-on practice.

🎓 Master New Skills

You finish feeling confident with data science knowledge ready for your career or next adventure.

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AI-Generated Review

What is Data-Science-Courses?

This GitHub repo delivers structured roadmaps and Google Slides for practical data science courses, including a 62-session full bootcamp on Python, databases, backend engineering, DevOps, plus shorter ones on AI for customer growth, recommendation systems, and webinars. It solves the chaos of scattered data science courses online by offering industry-focused paths from basics to advanced ML deployment, with student project examples for real-world application. Users get direct links to slides covering tools like Pandas, SQL, Docker, and models like BG-NBD or NeuMF—no code, just ready-to-follow curricula.

Why is it gaining traction?

Unlike generic github data science courses lists, this stands out with bootcamp-proven materials from taught classes, emphasizing business problems like churn prediction and recsys via bandits or LLMs. The hook is the visual roadmaps and top student repos, giving devs a github repo roadmap to clone and build on immediately. Free certificates aren't here, but the hands-on project focus beats fluffy theory dumps.

Who should use this?

Early-career data scientists or devs switching from software engineering, especially those eyeing data science courses after 12th or in places like Bangalore, Pune, or online. Ideal for self-learners tackling customer retention models or building recsys prototypes without paid programs. Skip if you're deep into production-scale DS already.

Verdict

Grab it for a solid github roadmap example in data science courses—detailed tables and slides make it a quick self-study win despite 10 stars and 1.0% credibility score. Still early and link-heavy, so verify slides work; pair with your own projects for real gains.

(198 words)

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