🖥 25 free data science courses, Gen AI, ML, ...
◀️ From reputable universities and institutions

⛓ In universities, I am always asked about free resources for learning data science, and I thought it would be better to share these resources with you here. I hope this collection will be of great help to those who want to become professionals in the field of data science! 💯


🔄 Data science courses

⏺ Python for Everybody course ➡️ link

⏺ Data analysis with Python course ➡️ link

⏺ Databases and SQL course ➡️ link

⏺ Intro to Inferential Statistics course ➡️ link

⏺ Machine Learning Zoomcamp course ➡️ link


🔄 Data engineering courses

⏺ Data Engineering course ➡️ link

⏺ Data Engineer Learning course ➡️ link

⏺ Database Engineer course ➡️ link

⏺ Big Data Specialization course ➡️ link

⏺ Data Engineering Zoomcamp course ➡️ link


🔵 Machine learning courses

⏺ Intro to ML course ➡️ link

⏺ ML for Everybody course ➡️ link

⏺ ML course in Python with Scikit-Learn ➡️ link

⏺ ML Crash Course ➡️ link

⏺ Course CS229: ML ➡️ link


🟡 MLOps courses

⏺ Python Essentials for MLOps course ➡️ link

⏺ MLOps for Beginners course ➡️ link

⏺ MLOps Specialization course ➡️ link

⏺ MLOps Specialization course ➡️ link

⏺ Made with ML course ➡️ link


🔄 Productive artificial intelligence courses

⏺ Generative AI for Beginners course ➡️ link

⏺ Generative AI Fundamentals course ➡️ link

⏺ Intro to Generative AI course ➡️ link

⏺ Generative AI course with LLMs ➡️ link

⏺ Generative AI for Everyone course ➡️ link

🪄 https://t.me/codeprogrammer 🖼
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🎁 205+ free data science and ML courses
✅ from the Udacity platform

✅ Udacity platform It has a wide range of machine learning and data science courses, some of these courses are free and some are paid.

✅ In this PDF file, I collected all the free Udacity courses on machine learning, data science, etc. and put them inside the PDF with an active link. Just click on the link of each course. So easily!👌🏼

🗂 +205 Udacity FREE Courses

🪄 https://t.me/codeprogrammer 🖼

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🟢 We present to you a list of our paid services:

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📌 Python For Everybody - Python Programming MADE EASY

👨‍🎨 Size :- 1.74 GB

✅ By: https://t.me/Python53

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📌 Python For Everybody - Python Programming MADE EASY

✅ By: https://t.me/Python53

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🔰 Learn Python 3 From Scratch: Python Basics And Fundamentals

A hands-on course to expose you to Python fundamentals and build your confidence with Python

✅ By: https://t.me/Python53

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⭐️ Learn Python 3 From Scratch: Python Basics And Fundamentals

✅ By: https://t.me/Python53

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☯️ Python in Excel

🌐 Author: Scott Simpson
🔰 Level: Beginner

⏰ Duration: 30m

🔄 Get a high-level overview of the Python in Excel features launched in the public beta preview.

📕 Topics: Microsoft Excel, Python

✅ By: https://t.me/Python53

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Python in Excel

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Python in Excel

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🎥 Full python Masterclass, From a beginner to employed - Udemy 👇

✅ By: https://t.me/Python53

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📽 Full python Masterclass, From a beginner to employed - udemy

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📽 Web Automation and Scraping using Python - Udemy

✅ By: https://t.me/Python53

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📽 Web Automation and Scraping using Python - Udemy

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🦾 Made With ML : Learn how to combine machine learning with software engineering to design, develop, deploy and iterate on production-grade ML applications.

A 100% free course that will help you learn how to write production-grade MLOps code.

The course will teach you everything from design, modeling, testing, working with learning models and much more for free!

More than 35 thousand stars on Github

Learn how to design, develop, deploy, and operate production-grade ML applications.

▪ Course
▪ Overview
▪ Jupyter notebook

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🔰 Learning Python

🎟2022-11-19 • ⏱ 3h 10m • 💡Beginner
🗣 Joe Marini

Python—the popular and highly-readable object-oriented language—is both powerful and relatively easy to learn. Whether you're new to programming or an experienced developer, this course can help you get started with Python. Joe Marini provides an overview of the installation process, basic Python syntax, and an example of how to construct and run a simple Python program. Learn to work with dates and times, read and write files, and retrieve and parse HTML, JSON, and XML data from the web.

📦 Topics: Python

✅ By: https://t.me/Python53

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Learning Python

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