Free Books:

C Programming
https://books.goalkicker.com/CBook/

Linux
https://books.goalkicker.com/LinuxBook/

Algorithms Book
https://books.goalkicker.com/AlgorithmsBook/

Android Notes
https://books.goalkicker.com/AndroidBook/

C#
https://books.goalkicker.com/CSharpBook/

Free Certificates to become a data analyst
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https://www.linkedin.com/posts/sql-analysts_freecertificates-dataanalysts-python-activity-7113004712412524545-Uw4k?utm_source=share&utm_medium=member_android

Official Python Docs
https://docs.python.org/3/

Tools:
http://docs.python-guide.org/en/latest/dev/virtualenvs/
http://www.pythonforbeginners.com/basics/python-pip-usage

Practice:
http://www.practicepython.org/
https://www.hackerrank.com
https://wiki.python.org/moin/PythonDecorators

Python GUI FAQ

https://docs.python.org/3/faq/gui.html

Model Checking, IIT Madras

🆓 Free Online Course
💻 55 Lecture Videos
⏰ 12 Modules
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Teacher 👨‍🏫 : Prof. B. Srivathsan

🔗 https://nptel.ac.in/courses/106106136

YT Playlists to Learn Complete SQL

Database Design Course freeCodeCamp
https://www.youtube.com/watch?v=ztHopE5Wnpc&pp=ygUPc3FsIGZ1bGwgY291cnNl

SQL (Full Course) - QAFox
https://www.youtube.com/watch?v=pVKT4N-Cgb8&list=PLsjUcU8CQXGFFAhJI6qTA8owv3z9jBbpd

SQL Tutorial - Full Database Course for Beginners - freeCodeCamp
https://www.youtube.com/watch?v=HXV3zeQKqGY&pp=ygUPc3FsIGZ1bGwgY291cnNl

SQL Tutorial for Beginners (and Technical Interview Questions Solved) - freeCodeCamp
https://www.youtube.com/watch?v=-fW2X7fh7Yg&pp=ygUPc3FsIGZ1bGwgY291cnNl

MySQL Tutorial for Beginners - Programming with Mosh
https://www.youtube.com/watch?v=7S_tz1z_5bA&pp=ygUPc3FsIGZ1bGwgY291cnNl

SQL Full Course | SQL For Beginners | Mysql Full Course - Simplilearn
https://www.youtube.com/watch?v=AA7i2GcTGwU&pp=ygUPc3FsIGZ1bGwgY291cnNl

🍻 Learn Computer Science in 2023 from Harvard, Stanford, MIT, IBM, Microsoft, Google 🍻

[Part - 3]

❯ JavaScript
http://learn.microsoft.com/training/paths/web-development-101/

❯ TypeScript
http://learn.microsoft.com/training/paths/build-javanoscript-applications-typenoscript/

❯ C#
http://learn.microsoft.com/users/dotnet/collections/yz26f8y64n7k07

❯ Mathematics (incl. Statistics)
ocw.mit.edu/search/?d=Mathematics&s=department_course_numbers.sort_coursenum

❯ Data Science
cognitiveclass.ai/courses/data-science-101

Here are 15 FREE Stanford courses you don't want to miss: 👇

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🔗 https://edx.org/learn/data-science/harvard-university-data-science-wrangling

📌2. Statistics:

🔗 https://edx.org/learn/data-science/harvard-university-data-science-inference-and-modeling

📌3. Python:

🔗 https://edx.org/learn/python/harvard-university-cs50-s-introduction-to-programming-with-python

📌4. Data Visualization:

🔗 https://edx.org/learn/data-visualization/harvard-university-data-science-visualization

📌5. Machine Learning:

🔗 https://edx.org/learn/machine-learning/harvard-university-data-science-machine-learning

📌6. Computer Science:

🔗 https://pll.harvard.edu/course/cs50-introduction-computer-science

📌7. Game Development:

🔗 https://pll.harvard.edu/course/cs50s-introduction-game-development

📌8. Programming:

🔗 https://pll.harvard.edu/course/cs50s-introduction-programming-scratch

📌9. Web Programming:

🔗 https://learndigital.withgoogle.com/digitalgarage/course/effective-networking

📌10. Artificial Intelligence:

🔗 https://pll.harvard.edu/course/cs50s-introduction-artificial-intelligence-python/2023-05

📌11. AI for Beginners:

🔗 https://microsoft.github.io/AI-For-Beginners/

📌12. Data Science for Beginners:

🔗 https://microsoft.github.io/Data-Science-For-Beginners/#/

📌13. Machine Learning for Beginners:

🔗 https://microsoft.github.io/ML-For-Beginners/#/

📌14. R Programming Fundamentals:

🔗 https://online.stanford.edu/courses/xfds112-r-programming-fundamentals

📌15. Algorithms: Design and Analysis:

🔗 https://online.stanford.edu/courses/soe-ycsalgorithms1-algorithms-design-and-analysis-part-1

The Complete Photoshop Elements Manual
Papercut, 2023

Introduction to Data Science by University of Washington

🎬 95 video sessions
⏰ Duration: 16h
👨‍🏫 Instructor: Bill Howe, PhD
✅ Completely free

Course link

#datascience #ds #ml

Python from scratch
by University of Waterloo

0. Introduction
1. First steps
2. Built-in functions
3. Storing and using information
4. Creating functions
5. Booleans
6. Branching
7. Building better programs
8. Iteration using while
9. Storing elements in a sequence
10. Iteration using for
11. Bundling information into objects
12. Structuring data
13. Recursion

https://open.cs.uwaterloo.ca/python-from-scratch/

#python

Learn Python by spending $0 Online

Here's Top 10 Python Courses from freeCodeCamp to level up in Python.
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https://bit.ly/3POYsHY

Websites to practice javaScript:

1. Codewars
https://codewars.com

2. JS challenger
https://jschallenger.com

3. W3resource
https://w3resource.com/javanoscript-exercises/

4. JS hero
https://jshero.net/en/koans/var.html

5. Advanced Javanoscript Concepts
https://news.1rj.ru/str/javanoscript_courses/18

6. Exercism
https://exercism.org/tracks/javanoscript

7. Codecademy
https://codecademy.com

A lot of people are confused about whether they should go with Java or Python?

But here’s the thing: If you’re aiming for the top product based companies, it doesn’t matter which language or tech stack you are familiar with.

The focus of all tech giants is around DSA, which tests your logic and approach. As in most of these companies, the technology changes rapidly and these companies look for employees who can learn a new tech stack in no time.

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https://news.1rj.ru/str/programming_guide/940

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FREE online courses with certification by Kaggle 👇👇

No Payment Required!

18. Intro to Game AI and Reinforcement Learning Build your own video game bots, using classic and cutting-edge algorithms.
🔗 https://lnkd.in/df3WqAh4

17. Geospatial Analysis Create interactive maps, and discover patterns in geospatial data.

🔗 https://lnkd.in/dCmeymwN

16. Machine Learning Explainability Extract human-understandable insights from any model.

🔗 https://lnkd.in/gm9dx_dY

15. Intro to AI Ethics Explore practical tools to guide the moral design of AI systems.

🔗 https://lnkd.in/dha2pngP

14. Data Cleaning Master efficient workflows for cleaning real-world, messy data.

🔗 https://lnkd.in/dTyt5Vac

Python for Machine Learning& Data Science Masterclass

🔗 https://news.1rj.ru/str/datasciencefree/68

13. Time Series Apply machine learning to real-world forecasting tasks.

🔗 https://lnkd.in/dVMmmxgv

12. Computer Vision Build convolutional neural networks with TensorFlow and Keras.

🔗 https://lnkd.in/dsGDJnQs

11. Feature Engineering Better features make better models. Discover how to get the most out of your data.

🔗 https://lnkd.in/d64RhjZ2

10. Intro to Programming Get started with Python, if you have no coding experience.

🔗 https://lnkd.in/g4Kde5KF

9. Pandas Solve short hands-on challenges to perfect your data manipulation skills.

🔗 https://lnkd.in/g7TanChx

8. Python Learn the most important language for data science.

🔗 Link: https://lnkd.in/gEBU9KHV

7. Intro to Machine Learning Learn the core ideas in machine learning, and build your first models.

🔗 Link: https://lnkd.in/gd_NTFQa

6. Intermediate Machine Learning Handle missing values, non-numeric values, data leakage, and more

🔗 Link: https://lnkd.in/ghv8TCp4

5. Machine Learning Explainability Extract human-understandable insights from any model.

🔗 Link: https://lnkd.in/gm9dx_dY

Python for Data Analysis & Visualization

🔗 Link: https://bit.ly/45X2BzG

4. Intro to SQL Learn SQL for working with databases, using Google BigQuery.

🔗 Link: https://lnkd.in/dmGZe3rt

3. Advanced SQL Take your SQL skills to the next level.

🔗 Link: https://lnkd.in/g3kZNqg5

2. Data Visualization A great way to see the power of coding!

🔗 Link: https://lnkd.in/grQhVN4p

1. Intro to Deep Learning Use TensorFlow and Keras to build and train neural networks for structured data.

🔗 Link: https://lnkd.in/d-DBsbXD

📌 Kaggle group for projects & competition discussion

🔗 Link: https://news.1rj.ru/str/Kaggle_Group

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Free Books, Courses & Certificates to learn Data Analytics & Data Science for beginners

Free Courses, Projects & Internship for data analytics

FREE Data Analytics Online Courses from Udacity

Free courses to learn Data Science in 2023

Complete Roadmap with Free Resources to become a data analyst

Free Resources to learn Python

Free Certification Courses from Microsoft to try in 2023

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Few resources that can elevate your understanding of AI and LLM -

1. Machine Learning Crash Course: A practical introduction to ML fundamentals, featuring interactive exercises and real-world case studies.
🔗 https://developers.google.com/machine-learning/crash-course

2. TensorFlow APIs: Whether you're a beginner or an expert, these tutorials will help you master TensorFlow's suite to build and deploy ML models.
🔗 https://www.tensorflow.org/tutorials

3. ML Practitioner Guides: For the seasoned professionals, these guides offer deep dives into solving complex ML problems effectively.
🔗 https://developers.google.com/machine-learning/guides

4. AI Explanations: Understand the workings behind AI decisions with resources focused on interpretability.
🔗 https://cloud.google.com/ai-explanations

Leverage these resources to enhance your expertise and innovate in your field. 🌐

Free Data Science courses from Udemy and Udacity
👇👇

Data Analysis and Visualization

https://imp.i115008.net/JrBjZR

Data Analysis with R by Facebook

https://imp.i115008.net/gbJr5r

Introduction to Data Science using Python

https://bit.ly/47a3x59

Intro to Data for Data Science

https://ern.li/OP/1qvkxbfbmf8

Data Science with Analogies, Algorithms and Solved Problems

https://ern.li/OP/1qvkxbfcehz

Introduction to Data Science for Complete Beginners

https://bit.ly/3sh4oPO

ENJOY LEARNING 👍👍

Best Sources to learn Blockchain and Bitcoin
👇👇
https://news.1rj.ru/str/Bitcoin_Crypto_Web/22

Spend $0 to master new skills in 2023:

1. HTML - w3schools.com

2. CSS - css-tricks.com

3. JavaScript - learnjavanoscript.online

4. React - react-tutorial.app

5. Tailwind - scrimba.com

6. Vue - vueschool.io

7. Python - pythontutorial.net

8. SQL - t.me/sqlspecialist/349

9. Git - atlassian.com/git/tutorials

Share our channel for more free resources: https://news.1rj.ru/str/udacityfreecourse