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
5. Understanding Technology

This is CS50’s introduction to technology for students who don’t (yet!) consider themselves computer persons.

Check here 👇

https://t.co/wKHEgi72Iv
6. Introduction to Artificial Intelligence with Python

Learn to use machine learning in Python in this introductory course on artificial intelligence.

Check here 👇

https://t.co/uwoNh5YMXW
7. Introduction to Game Development

Learn about the development of 2D and 3D interactive games in this hands-on course, as you explore the design of games such as Super Mario Bros., Pokémon, Angry Birds, and more.

Check here 👇

https://t.co/uSNS8u5hse
8. CS50's Computer Science for Business Professionals

This is CS50’s introduction to computer science for business professionals.

Check here 👇

https://t.co/dZWQG7yvwf
9. Mobile App Development with React Native

Learn about mobile app development with React Native, a popular framework maintained by Facebook that enables cross-platform native apps using JavaScript without Java or Swift.

Check here 👇

https://t.co/4stZkyIwbr
10. Introduction to Data Science with Python

Join Harvard University instructor Pavlos Protopapas in this online course to learn how to use Python to harness and analyze data.

Check here 👇

https://t.co/L2EtWG8kob

More from Hasan Toor ✪

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
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
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

More from Learning

📚 Many influential business figures, including @JeffBezos, @ElonMusk, and @BillGates. say they learned some of their most important lessons from books.

Here are some that the tech giants recommended adding to your reading list this year. 👇

https://t.co/rhjcI1z3JC


Some of Bezos' favorite books were instrumental to the creation of products and services like the Kindle and Amazon Web Services.

One of those is Walmart founder Sam Walton’s autobiography in which he recalls his career.

https://t.co/rhjcI1z3JC


This Kazuo Ishiguro novel tells of an English butler in wartime England who begins to question his lifelong loyalty to his employer while on a vacation.

Bezos has said of the book, "Before reading it, I didn't think a perfect novel was possible."

https://t.co/rhjcI1z3JC


Bezos’ "favorite business book" draws on six years of research from the Stanford University Graduate School of Business that looks into what separates exceptional companies from their competitors.

https://t.co/rhjcI1z3JC


Elon Musk's must-reads include a number of sci-fi novels.

He read "The Hitchhiker's Guide to the Galaxy" as a teenager, even saying the spacecraft in it is his favorite spacecraft from science fiction.

https://t.co/rhjcI1z3JC

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I like this heuristic, and have a few which are similar in intent to it:


Hiring efficiency:

How long does it take, measured from initial expression of interest through offer of employment signed, for a typical candidate cold inbounding to the company?

What is the *theoretical minimum* for *any* candidate?

How long does it take, as a developer newly hired at the company:

* To get a fully credentialed machine issued to you
* To get a fully functional development environment on that machine which could push code to production immediately
* To solo ship one material quanta of work

How long does it take, from first idea floated to "It's on the Internet", to create a piece of marketing collateral.

(For bonus points: break down by ambitiousness / form factor.)

How many people have to say yes to do something which is clearly worth doing which costs $5,000 / $15,000 / $250,000 and has never been done before.