Python Courses & Resources
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Master Python with step-by-step courses – from basics to advanced projects and practical applications.
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πŸ˜‰ A list of the best YouTube videos
βœ… To learn data science


1️⃣ SQL language


⬅️ Learning

πŸ’° 4-hour SQL course from zero to one hundred

πŸ’° Window functions tutorial

⬅️ Projects

πŸ“Ž Starting your first SQL project

πŸ’° Data cleansing project

πŸ’° Restaurant order analysis

⬅️ Interview

πŸ’° How to crack the SQL interview?

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2️⃣ Python


⬅️ Learning

πŸ’° 12-hour Python for Data Science course

⬅️ Projects

πŸ’° Python project for beginners

πŸ’° Analyzing Corona Data with Python

⬅️ Interview

πŸ’° Python interview golden tricks

πŸ’° Python Interview Questions

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3️⃣ Statistics and machine learning


⬅️ Learning

πŸ’° 7-hour course in applied statistics

πŸ’° Machine Learning Training Playlist

⬅️ Projects

πŸ’° Practical ML Project

⬅️ Interview

πŸ’° ML Interview Questions and Answers

πŸ’° How to pass a statistics interview?

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4️⃣ Product and business case studies


⬅️ Learning

πŸ’° Building strong product understanding

πŸ’° Product Metric Definition

⬅️ Interview

πŸ’° Case Study Analysis Framework

πŸ’° How to shine in a business interview?

#DataScience #SQL #Python #MachineLearning #Statistics #BusinessAnalytics #ProductCaseStudies #DataScienceProjects #InterviewPrep #LearnDataScience #YouTubeLearning #CodingInterview #MLInterview #SQLProjects #PythonForDataScience



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πŸ“Ί 12 comprehensive playlists to master
⬅️ machine learning, deep learning, and GenAI!


πŸ‘¨πŸ»β€πŸ’» Each playlist is designed to be simple and understandable for beginners, and then gradually dive deeper into the topics.


πŸ˜‰ Machine Learning Basics (39 videos)

πŸ˜‰ Python for ML (9 videos)

πŸ˜‰ Optimization for ML (5 videos)

πŸ˜‰ Machine Learning with Practical Exercises (37 videos)

πŸ˜‰ Building Decision Trees from Scratch (13 videos)

πŸ˜‰ Building Neural Networks from Scratch (35 videos)

πŸ˜‰ Graph Neural Networks (6 videos)

πŸ˜‰ Computer Vision from Scratch (19 videos)

πŸ˜‰ Building LLM from Scratch (43 videos)

πŸ˜‰ Reasoning in LLMs from Scratch (22 videos)

πŸ˜‰ Building DeepSeek from Scratch (29 videos)

πŸ˜‰ Machine Learning in Production Environment (6 videos)



🌐 #Data_Science #DataScience
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https://t.me/CodeProgrammer ❀️
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Python Data Visualization: Create impactful visuals, animations and dashboards [EN]

What you will learn
:

The Sneak Peek program provides early access to Pearson video courses, allowing subscribers to study materials as they are being developed. Content can be updated throughout the entire creation cycle, including editing and post-production.

⚑ tags: #python #datascience

πŸ–₯ By: https://t.me/Python53

⭐️ BEST DATA SCIENCE CHANNELS ON TELEGRAM ⭐️
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Python_Data_Visualization_Create_impactful_visuals,_animations_and.rar
1.4 GB
Python Data Visualization: Create impactful visuals, animations and dashboards [EN]

⚑ tags: #python #datascience #ai

πŸ–₯ By: https://t.me/Python53

⭐️ BEST DATA SCIENCE CHANNELS ON TELEGRAM ⭐️
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🐍 10 Free Courses to Learn Python

πŸ‘©πŸ»β€πŸ’» These top-notch resources can take your #Python skills several levels higher. The best part is that they are all completely free!


1⃣ Comprehensive Python Course for Beginners

πŸ“ƒA complete video course that teaches Python from basic to advanced with clear and organized explanations.


2⃣ Intensive Python Training

πŸ“ƒA 4-hour intensive course, fast, focused, and to the point.


3⃣ Comprehensive Python Course

πŸ“ƒTraining with lots of real examples and exercises.


4⃣ Introduction to Python

πŸ“ƒLearn the fundamentals with a focus on logic, clean coding, and solving real problems.


5⃣ Automate Daily Tasks with Python

πŸ“ƒLearn how to automate your daily project tasks with Python.


6⃣ Learn Python with Interactive Practice

πŸ“ƒInteractive lessons with real data and practical exercises.


7⃣ Scientific Computing with Python

πŸ“ƒProject-based, for those who want to work with data and scientific analysis.


8⃣ Step-by-Step Python Training

πŸ“ƒStep-by-step and short training for beginners with interactive exercises.


9⃣ Google's Python Class

πŸ“ƒA course by Google engineers with real exercises and professional tips.


1⃣ Introduction to Programming with Python

πŸ“ƒUniversity-level content for conceptual learning and problem-solving with exercises and projects.

🌐 #DataScience #DataScience

βœ… https://t.me/CodeProgrammer βœ…
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Ex_Files_Data_Mining_Python_R.zip
1.5 MB
Data Science Foundations: Data Mining in Python

⚑ tags: #python #datascience

πŸ–₯ By: https://t.me/Python53

⭐️ BEST DATA SCIENCE CHANNELS ON TELEGRAM ⭐️
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πŸ’― This free course will increase your coding speed by 20 times!

πŸ‘¨πŸ»β€πŸ’» The new DeepLearning.AI course on Claude Code, a very advanced intelligent assistant for coding that works for you like a real agent.


βœ… Main skills:
πŸ›‘ Building RAG chatbots with full explanation
πŸ›‘ Configuring the CLAUDE.md file - project history logging
πŸ›‘ Writing complete tests and refactoring old code

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βœ… More advanced workflows:
πŸ›‘ Working with git worktree for multiple features simultaneously
πŸ›‘ Full GitHub automation
πŸ›‘ Implementing pre- and post-deploy hooks

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βœ… Real projects you will build in this course:
πŸ›‘ Converting notebooks into analytical dashboards
πŸ›‘ Connecting Figma designs to Claude
πŸ›‘ Building financial interfaces with Central Bank API
πŸ›‘ Automating UI tests with Playwright

πŸ–₯ Claude Code: Coding Assistant
πŸ–₯ Claude Code: Coding Assistant

🌐 #Data_Science #DataScience
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https://t.me/Python53
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πŸ”… Hands-On Data Science using SQL, Tableau, Python, and Spark

πŸ“ Get practical, hands-on data science experience using SQL, Tableau, Python, and Spark.

🌐 Author: Ben Sullins
πŸ”° Level: Intermediate
⏰ Duration: 1h 13m

πŸ“‹ Topics: #DataScience, #SQL, #Python
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Data scientists are in high demand right now: there's just too much data to analyze.

In this course, Tatev and Vae teach #Python for #DataScience.

You'll be doing projects and exploring EDA, A/B testing, BI, and more.

https://t.me/Python53 🌟
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Ex_Files_Python_for_Data_Science_Tips.zip
4.8 MB
πŸ”… Python for Data Science Tips, Tricks, and Techniques

πŸ“‹ Topics: #DataScience, #Python

https://t.me/Python53
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πŸ”– 26 lectures on Deep Learning for free 🧠✨

The material helps to go from a basic understanding to a confident DL base in just a few hours of viewing. πŸš€πŸ“š

A good option for getting started with neural networks and Data Science. πŸ€–πŸ“Š

⛓️ Watch the playlist πŸ‘‡
https://www.youtube.com/playlist?list=PLgPbN3w-ia_PeT1_c5jiLW3RJdR7853b9

#DeepLearning #DataScience #NeuralNetworks #AI #MachineLearning #Tech
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10 Best Advanced Machine Learning Courses You Must Know in 2026 πŸ€–πŸ“š

Are you looking for the Best Advanced Machine Learning Courses?… If yes, then this article is for you. In this article, you will find the 10 Best Advanced Machine Learning Courses. πŸ§ πŸ’‘

Link: https://www.mltut.com/best-advanced-machine-learning-courses/ πŸ”—

#MachineLearning #AI #DataScience #MLCourses #ArtificialIntelligence #TechLearning

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⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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A new collection of free courses has been added:

πŸ”— https://github.com/dair-ai/ML-Course-Notes

Those studying ML through dozens of random tabs and unclosed playlists may find this repository useful for organizing their learning. πŸ“š

Machine Learning Course Notes is an open collection of notes on machine learning, NLP, and AI, compiled around full-fledged courses, not just individual videos. 🧠

What's inside:

β€’ Courses from the Machine Learning Specialization, MIT 6.S191, CMU Neural Nets for NLP, CS224N, CS25, and others
β€’ A table with lectures, descriptions, videos, notes, and authors
β€’ Links to the original lectures and accompanying notes
β€’ WIP markers for incomplete materials
β€’ Instructions for contributors on adding and improving notes

The idea was appreciated. πŸ‘

Instead of another collection of hundreds of links, a course map has been created where one can systematically go through the material without getting lost after a week of studying. πŸ—ΊοΈ

#MachineLearning #AI #DataScience #TechCommunity #LearningResources #OpenSource

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