🏳️‍🌈 5 free courses to master Python for data science

👨🏻‍💻 If you want to enter the data world, learning Python as the most important language in this field is essential! But there are many things to learn in Python: from Python basics to data analysis, machine learning and coding with Python. So how can you find the best resources to learn all of this?

1️⃣ Python course for beginners

⏪ This course is for beginners and in less than an hour, it will teach you the basics of Python programming such as variables, loops and lists.

📎 Link: Course Homepage

2️⃣ Python programming course (intermediate level)

⏪ Now that you have learned the basics, you can start this programming course. This course covers more advanced features of Python, such as lambda functions, generators, exception handling, and multithreading.

📎 Link: Course Homepage

3️⃣ Data analysis course with Python

⏪ This freeCodeCamp course teaches you NumPy, Pandas, Matplotlib and Seaborn libraries and includes data analysis projects.

📎 Link: Course Homepage

4️⃣ Machine learning course with Python and scikit-learn

⏪ This course teaches you machine learning algorithms with scikit-learn and how to design and implement machine learning projects.

📎 Link: Course Homepage

5️⃣ Data structure and algorithms course in Python

⏪ This free course teaches you the basic concepts of data structures and algorithms such as binary search, search trees, and sorting algorithms.

📎 Link: Course Homepage

http://t.me/codeprogrammer ⭐️

☕️ Coursera Membership Free

📝 List of SQL Data Science Interview Questions
✅ In famous companies in the world

👨🏻‍💻 If you are preparing for a data science job interview and are looking for questions in the SQL field, this list of SQL questions collected from large and famous companies can help you.👇

1️⃣ Amazon company SQL interview question

📎 Link: Amazon SQL Interview

2️⃣ Airbnb SQL interview question

📎 Link: Airbnb SQL Interview Question

3️⃣ Adobe SQL Interview Question

📎 Link: Adobe SQL Interview Question

4️⃣ Spotify SQL Interview Question

📎 Link: Spotify SQL Interview Question

5️⃣ L&T Company SQL Interview Question

📎 Link: L&T SQL Interview Question

6️⃣ Ameriprise LLC SQL query

📎 Link: Ameriprise LLC SQL Interview

7️⃣ SQL query from Tiger Analytics

📎 Link: Tiger Analytics SQL Interview

8️⃣ PWC SQL Interview Question

📎 Link: PWC SQL Interview Question

9️⃣ Honeywell SQL Interview Question

📎 Link: Honeywell SQL Interview

1️⃣ Angel One Company SQL Interview Question

📎 Link: Angel One SQL Interview

1️⃣ SQL interview questions of FAANG companies

📎 Link: FAANG SQL Interview Question

1️⃣ Accenture SQL Interview Question

📎 Link: Accenture SQL Interview

👉 BEST DATA SCIENCE CHANNELS ON TELEGRAM 👈

🙃 Prediction of the winning country of the 2024 Olympics

👨🏻‍💻 Our project is designed to predict the winner of the 2024 Olympics and use historical data to train a machine learning model.

📄 In this project, we train a machine learning model based on historical data by using the number of medals of countries participating in the 2021 Tokyo Olympics. This dataset includes information such as the number of medals, demographic information of countries and economic indicators. Then, based on the predicted medals, we will make a ranking to determine the winning country.

🖥 From the dataset and coding to analysis and project results, all are available in the following GitHub repo.👇

┌ 💸 Predictive Olympic Winner 2024
├ 📃 Report
└ 🐱 GitHub-Repos

http://t.me/codeprogrammer ⭐️

☕️ Coursera Membership Free

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In case you missed it, we just launched "Pretraining LLMs!"

In this course, you’ll gain in-depth knowledge of the steps to pretrain an LLM, encompassing all the steps, from data preparation to performance assessment.

Enroll for free today: https://www.deeplearning.ai/short-courses/pretraining-llms/

http://t.me/codeprogrammer ⭐️

☕️ Coursera Membership Free

💬 72 hours of free access
💻 To all courses on the 365DataScience site
🔻 Free access to data science courses
✅ Without any restrictions!
📆 From July 19 to July 22

👨🏻‍💻 365DataScience website has created free and unlimited access to data science courses for 72 hours from November 19 , without any restrictions and without the need for a credit card!💯

⬅️ From today! You have the opportunity to access all the following for free by creating an account with an email.

🔹 81 training courses
🔹 672 practical and applied exercises
🔹 Over 260 hours of instructional videos

🚀 By taking these courses, you can experience a completely organized roadmap, test your knowledge with practical exercises, work on real projects, and finally receive fully valid certificates at no cost.


🔸 Course access link: 👇

┌ 💸 Free Access July 19 – July 22
└ 🎬 +81 Data & AI Courses 100% FREE

http://t.me/codeprogrammer ⭐️

☕️ Register in Coursera Free

Public APIs

A collective list of API free

GitHub Repo:
https://github.com/public-apis/public-apis

➖➖➖➖➖➖➖➖➖➖➖

http://t.me/codeprogrammer ⭐️

☕️ Register in Coursera Free

🗂 A collection of the best free courses

📝 For data science, data engineering, MLOps, ML and GenAI

💠 data science

1️⃣ Python for Everybody Course : A great course for beginners to learn Python.

2️⃣ Data analysis with Python course : This course introduces you to data analysis techniques with Python.

3️⃣ Databases & SQL course : You will learn how to manage databases with SQL.

4️⃣ Intro to Inferential Statistics course : This course teaches you how to make predictions by learning statistics.

5️⃣ ML Zoomcamp course : a practical and practical course for learning machine learning.


🔺 Data engineering

1️⃣ Data Engineering Course : Learn the basics of data engineering.

2️⃣ Data Engineer Learning Path course : a comprehensive road map to become a data engineer.

3️⃣ Database Engineer course : get a specialized degree in database engineering.

4️⃣ Big Data Specialization Course : Get to know big data technologies and their applications.

5️⃣ The Data Eng Zoomcamp course : a practical course to learn data engineering.


🔺 machine learning

1️⃣ Intro to ML course : an introductory and self-paced course to start machine learning.

2️⃣ ML for Everybody course : A simple approach to learning machine learning concepts.

3️⃣ ML in Python course : focus on machine learning with Python and Scikit-Learn.

4️⃣ ML Crash Course : A quick but comprehensive introduction to machine learning.

5️⃣ CS229 : ML : An advanced course for those who want to deepen their knowledge.


🔻 Machine Learning Operations (MLOps)

1️⃣ Python Essentials for MLOps course : an essential course for MLOps enthusiasts..

2️⃣ MLOps for Beginners Course : A great starting point for MLOps newbies.

3️⃣ ML Engineering Course : A set of courses for deep entry into the world of MLOps.

4️⃣ MLOps Specialization Course : Focus on operational aspects of machine learning.

5️⃣ Made With ML course : a special course that combines machine learning with practical applications.


🔹 Generative artificial intelligence

1️⃣ Generative AI for Beginners course : building generative artificial intelligence apps.

2️⃣ Generative AI Fundamentals course : getting to know the basic principles of generative artificial intelligence.

3️⃣ Intro to Gen AI course : from learning large language models to understanding the principles of responsible artificial intelligence.

4️⃣ Generative AI with LLMs course : Learn business applications of artificial intelligence with AWS experts in a practical way.

5️⃣ Generative AI for Everyone course : This course tells you what generative artificial intelligence is, how it works, and what uses and limitations it has.

http://t.me/codeprogrammer ⭐️

☕️ #MachineLearning #Python #COURSES #GenerativeAI #LLM

🖥 Get Started with Python

A good course on Python from Google.

More than 30 hours of relevant materials that will help you get into the topic.

Here the basic concepts of programming in Python and other features are discussed. Ideal if you have long wanted to try yourself in IT.

📌 Course

http://t.me/codeprogrammer ⭐️

🔒 #Python #COURSES

This channels is for Programmers, Coders, Software Engineers.

0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages

✅ https://t.me/addlist/8_rRW2scgfRhOTc0

✅ https://t.me/Python53

⚡️ Google Recaptcha Solver

Google reCAPTCHA solution tool.

Solves captcha in less than 5 seconds! 🚀

This is a Python script to solve the Google reCAPTCHA challenge using the DrissionPage library.

sudo apt-get install ffmpeg

☀️ Github

http://t.me/codeprogrammer ❤️

🔒 #Python #COURSES