Videos:

1. Programming with Mosh

๐Ÿ”— https://t.co/yRU7Vrh0VP
2. Telusko

๐Ÿ”— https://t.co/STUqOJBx25
3. Edureka

๐Ÿ”— https://t.co/lBT9Fyp3Vt
Websites:

1. https://t.co/cEIAAIMTdr
2. https://t.co/Op9k7SY5cA
3. https://t.co/291S35Pi46
4. https://t.co/QAn1niKeDM
5. https://t.co/ZXsQFDcgt9
If you found this thread helpful,

1. Do Retweet the first tweet.
2. Follow me on Twitter and turn on notifications: @mdjunaidap
๐Ÿ”ฅ 700+ Tools & Resources for Developers, Designers, and Creators.

Learn.
Build.
Sell.

I've Curated incredible tools and learning resources for developers, designers & content creators.

https://t.co/2XaQR6Al8Y

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Master Full-Stack Development for Free.

Thread ๐Ÿงต

1. Mastering Frontend development:


2. Mastering Backend development:


If you enjoyed reading this thread,

1. Do Retweet the FIRST TWEET.
2. Follow me and turn on notifications: @mdjunaidap

๐Ÿ”ฅ 700+ Tools & Resources for Developers, Designers, and Creators.

Learn.
Build.
Sell.

I've Curated incredible tools and learning resources for developers, designers & content

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The average salary for a Data Scientist is $117,000.

Want to become a Google Certified Data Scientist?

Here are 4 free courses from Google you don't want to miss:

1. Learn Python basics for data analysis

This course is designed to teach you the fundamentals of the Python programming language, especially for the purpose of data analysis.

๐Ÿ‘‰
https://t.co/q8SIIUytbM


2. Introduction to Data Science

This course will give you a comprehensive introduction to Data Science and Analytics Landscape.

๐Ÿ‘‰ https://t.co/QwYX0U0mzY


3. Data Science with Python

This Data Science with Python program provides learners with a complete understanding of data analytics tools & techniques.

This program is an ideal kickstarter for anyone looking to become a data scientist today.

๐Ÿ‘‰ https://t.co/jVlrdbX654


4. Data Science with Python

Getting started with Python can help you gain knowledge on data analysis, visualization, NumPy, SciPy, web scraping, and natural language processing.

This program is an ideal kickstarter to become a data scientist today.

๐Ÿ‘‰ https://t.co/B70J8zD74g
The epic thread ๐Ÿงต on the best "free" resources to start coding and go professional.

Basic Programming and Computing Concepts

CS50 by Harvard
Source:
https://t.co/GYXktrSbCw

Prerequisites: None

Probably the best free course for beginners and professionals alike. It goes through the very basics of programming and painlessly shifts to advance topics.

Programming with Python

CS50P by Harvard
Source: https://t.co/vv7YUWWVV8

Prerequisites: CS50 will help but not necessary.

Takes forward the best things of CS50 but in Python. Undoubtedly, the best Python Course you will find on the internet.

Artificial Intelligence (Theory Focused)

CS50's Introduction to Artificial Intelligence with Python by Harvard
Source: https://t.co/ms2c5mxdTC

Prerequisites: CS50P

This is a more theory and concept focused Course that will be your entry point to AI.

AI with Tensorflow

Tensorflow 2.0 Beginner Tutorial by Aladdin Persson
Source: https://t.co/D7hpDOazZA

Prerequisites: CS50P and CS50 AI with Python

The best beginners tutorial on Tensorflow.

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Department List of UCAS-China PROFESSORs for ANSO, CSC and UCAS (fully or partial) Scholarship Acceptance
1) UCAS School of physical sciences Professor
https://t.co/9X8OheIvRw
2) UCAS School of mathematical sciences Professor

3) UCAS School of nuclear sciences and technology
https://t.co/nQH8JnewcJ
4) UCAS School of astronomy and space sciences
https://t.co/7Ikc6CuKHZ
5) UCAS School of engineering

6) Geotechnical Engineering Teaching and Research Office
https://t.co/jBCJW7UKlQ
7) Multi-scale Mechanics Teaching and Research Section
https://t.co/eqfQnX1LEQ
๐Ÿ˜Ž Microgravity Science Teaching and Research

9) High temperature gas dynamics teaching and research section
https://t.co/tVIdKgTPl3
10) Department of Biomechanics and Medical Engineering
https://t.co/ubW4xhZY2R
11) Ocean Engineering Teaching and Research

12) Department of Dynamics and Advanced Manufacturing
https://t.co/42BKXEugGv
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The YouTube algorithm that I helped build in 2011 still recommends the flat earth theory by the *hundreds of millions*. This investigation by @RawStory shows some of the real-life consequences of this badly designed AI.


This spring at SxSW, @SusanWojcicki promised "Wikipedia snippets" on debated videos. But they didn't put them on flat earth videos, and instead @YouTube is promoting merchandising such as "NASA lies - Never Trust a Snake". 2/


A few example of flat earth videos that were promoted by YouTube #today:
https://t.co/TumQiX2tlj 3/

https://t.co/uAORIJ5BYX 4/

https://t.co/yOGZ0pLfHG 5/