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 ✪

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:
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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:

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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

More from Learning

8 priceless websites for entrepreneurs in 2022 (all free):

https://t.co/sAdvTQUt14

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Think Google Slides but 10x more aesthetic:

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Ever lose inspiration when designing your deck?

This is a database of 790 pitch decks across every stage.

Learn how unicorns (Uber, Airbnb) pitched their vision 10 years earlier. 

See how Unicorns (Rippling, Ladder) raised their latest rounds.

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The entire discussion around Facebook’s disclosures of what happened in 2016 is very frustrating. No exec stopped any investigations, but there were a lot of heated discussions about what to publish and when.


In the spring and summer of 2016, as reported by the Times, activity we traced to GRU was reported to the FBI. This was the standard model of interaction companies used for nation-state attacks against likely US targeted.

In the Spring of 2017, after a deep dive into the Fake News phenomena, the security team wanted to publish an update that covered what we had learned. At this point, we didn’t have any advertising content or the big IRA cluster, but we did know about the GRU model.

This report when through dozens of edits as different equities were represented. I did not have any meetings with Sheryl on the paper, but I can’t speak to whether she was in the loop with my higher-ups.

In the end, the difficult question of attribution was settled by us pointing to the DNI report instead of saying Russia or GRU directly. In my pre-briefs with members of Congress, I made it clear that we believed this action was GRU.