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.

👉 https://t.co/q8SIIUytbM
2. Introduction to Data Science

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

👉 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.

👉 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.

👉 https://t.co/B70J8zD74g
That's a wrap!

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More from Hasan Toor ✪

Harvard University is offering free online courses.

No application or fee required.

Here are 10 FREE courses you don't want to miss:

1. Introduction to Computer Science

An introduction to the intellectual enterprises of computer science and the art of programming.

Check here 👇

https://t.co/cPTPFJbBPI


2. Web Programming with Python and JavaScript

This course takes you deeply into the design and implementation of web apps with Python, JavaScript, and SQL using frameworks like Django, React, and Bootstrap.

Check here 👇

https://t.co/DemRj49O0l


3. Introduction to Programming with Scratch

A gentle introduction to programming that prepares you for subsequent courses in coding.

Check here 👇

https://t.co/r0iwWNMlXD


4. Introduction to Programming with Python

An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more.

Check here 👇

https://t.co/4JCHtRSXt6
Harvard University offers a ton of free online classes.

From Computer Science to Artificial Intelligence.

Here are 5 courses you don't want to miss:

1. Introduction to Computer Science

This is the best course to start with CS.

You'll learn about all the basic concepts and fundamentals of programming to start into tech field.

👉
https://t.co/cPTPFJbBPI


2. Introduction to Game Development

Learn about the development of 2D and 3D interactive games in this hands-on course.

This course will help you to explore the design of games such as Super Mario Bros., Pokémon, Angry Birds, and more.

👉 https://t.co/uSNS8u5hse


3. Web Programming with Python and JavaScript

This course will help you to go deep into the design and programming concepts.

Learn about the implementation of web apps with Python, JavaScript, and SQL using frameworks like Django, React & Bootstrap.

👉 https://t.co/DemRj49O0l


4. Mobile App Development with React Native

Learn about mobile app development.

React Native, a popular framework maintained by Facebook that enables cross-platform native apps using JavaScript without Java or Swift.

👉 https://t.co/4stZkyqVjT
ChatGPT is a phenomenal AI Tool.

But don't limit yourself to just ChatGPT.

Here're 8 AI-powered tools you should try in 2023:

1. KaiberAI

@KaiberAI helps you generate beautiful videos in minutes.

Transform your ideas into the visual stories of your dreams with this Amazing Tool.

New features:
1. Upload your custom music
2. Prompt Templates
3. Camera Movements:

Check here

https://t.co/ivnDRf628L


2. @tldview TLDV

Best ChatGPT Alternative for meetings.

Make your meetings 10X more productive with this amazing tool.

Try it now:

https://t.co/vOy3sS4QfJ


3. ComposeAI

Use ComposeAI for generating any text using AI.

It’s will help you write better content in seconds.

Try it here:

https://t.co/ksj5aop5ZI


4. Browser AI

Use this AI tool to extract and monitor data from any website.

Train a robot in 2 minutes to do your work.

No coding required.

https://t.co/nNiawtUMyO

More from Catagory jee

A thread 🧵on Resources-for-preparation-Of-Placements (Lecture video links)

**Programming Language Used : C++**

- Programming in C++ - (
https://t.co/gTcLJEMzwx)

- TakeUForward - ( https://t.co/udOwgbpG6O )

- CodeHelp - ( https://t.co/iph5urO1Q3 )

- Ayushi Sharma - ( https://t.co/pJUyl8ViF7 )

- COMPETITIVE PROGRAMMING -

**Programming Language Used : JAVA**

- Programming in JAVA - (https://t.co/fUMecrGVwY)

- Data Structure and Algorithams
- Kunal Kushwaha - (https://t.co/Pkvr5ZMcJ7)
- Pepcoding - (https://t.co/yNoYkSTTfv)
- Durga Sir -

- Anuj Bhaiya - (https://t.co/jHFrsvnwCy)

**Programming Language Used : Python**

- Programming in Python - (https://t.co/6zz3S1MpUO)

- DSA in Python - (https://t.co/vQ1EteJGnm)

- DS-ALGO - (https://t.co/KXE7NZf0ZD)

- Tech With Tim -

- Python Engineer - (https://t.co/VmGtEjiBVE)
**Placement Series**

- C++ - (https://t.co/nCnLHi00BK)

- JAVA - (https://t.co/Pkvr5Zu3uZ)

- JAVA - (https://t.co/pScvzpmlYu)

- PYTHON -
The epic thread 🧵 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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I'm going to do two history threads on Ethiopia, one on its ancient history, one on its modern story (1800 to today). 🇪🇹

I'll begin with the ancient history ... and it goes way back. Because modern humans - and before that, the ancestors of humans - almost certainly originated in Ethiopia. 🇪🇹 (sub-thread):


The first likely historical reference to Ethiopia is ancient Egyptian records of trade expeditions to the "Land of Punt" in search of gold, ebony, ivory, incense, and wild animals, starting in c 2500 BC 🇪🇹


Ethiopians themselves believe that the Queen of Sheba, who visited Israel's King Solomon in the Bible (c 950 BC), came from Ethiopia (not Yemen, as others believe). Here she is meeting Solomon in a stain-glassed window in Addis Ababa's Holy Trinity Church. 🇪🇹


References to the Queen of Sheba are everywhere in Ethiopia. The national airline's frequent flier miles are even called "ShebaMiles". 🇪🇹
So the cryptocurrency industry has basically two products, one which is relatively benign and doesn't have product market fit, and one which is malignant and does. The industry has a weird superposition of understanding this fact and (strategically?) not understanding it.


The benign product is sovereign programmable money, which is historically a niche interest of folks with a relatively clustered set of beliefs about the state, the literary merit of Snow Crash, and the utility of gold to the modern economy.

This product has narrow appeal and, accordingly, is worth about as much as everything else on a 486 sitting in someone's basement is worth.

The other product is investment scams, which have approximately the best product market fit of anything produced by humans. In no age, in no country, in no city, at no level of sophistication do people consistently say "Actually I would prefer not to get money for nothing."

This product needs the exchanges like they need oxygen, because the value of it is directly tied to having payment rails to move real currency into the ecosystem and some jurisdictional and regulatory legerdemain to stay one step ahead of the banhammer.