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Stanford University is offering free online courses.
NO Payment Required!
Here are 10 FREE courses you will regret not taking in 2023 ⬇️
[Bookmark for future 🔖]
1. Database and SQL
Stanford's online offering in Databases is now available as a set of five self-paced courses.
→ Relational Databases and SQL
→ Advanced Topics in SQL
→ OLAP and Recursion
→ Modeling and Theory
→ Semistructured Data
https://t.co/Q5NCndX2c1
2. Designing Your Career
You’ll learn:
→ How to break into a new field of interest
→ New ways to understand and approach networking
→ A new angle on pursuing professional opportunities
https://t.co/FkDhqwa9fR
3. Introduction to Python Programming
Learn to solve practical problems with Python.
You'll learn the fundamentals of the Python programming language, along with programming best practices.
https://t.co/eQLIJNIu36
4. Introduction to Machine Learning Course
Machine Learning is a first-class ticket to the most exciting careers in data analysis today.
This is a class that will teach you the end-to-end process of investigating data through a machine learning lens.
https://t.co/Irg05uQNtr
5. Intro to Artificial Intelligence
You’ll learn the basics of modern AI as well as some of the representative applications of AI.
https://t.co/S2OVP8DQWu
6. Artificial Intelligence for Robotics
Programming a Robotic Car.
Learn how to program all the major systems of a robotic car from the leader of Google and Stanford's autonomous driving teams.
https://t.co/TpB1V8WiAK
7. Computer Science 101
Introduction to Computer Science for a zero-prior-experience audience.
Play with little phrases of code to understand what computers are all about.
https://t.co/ZLkRlJkU5a
8. R Programming Fundamentals
R is widely used by data analysts, statisticians, and data scientists around the world.
This course covers an introduction to R, from installation to basic statistical functions.
https://t.co/pkNaSQU9f6
9. Max MSP Programming Course
Max is a powerful platform that accommodates and connects a wide variety of tools for sound, graphics, and music.
Max allows most computer users to write a simple, meaningful program within a few minutes.
https://t.co/OMrROfsq3x
10. Statistical Learning
Learn some of the main tools used in statistical modeling and data science.
You’ll learn:
→ Overview of statistical learning
→ Linear regression
→ Classification
→ Resampling methods
https://t.co/tAqOEWHhCD
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𝗙𝗥𝗘𝗘 (𝗚𝗼𝗼𝗴𝗹𝗲) 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘆𝗼𝘂 𝘄𝗶𝗹𝗹 𝗿𝗲𝗴𝗿𝗲𝘁 𝗻𝗼𝘁 𝘁𝗮𝗸𝗶𝗻𝗴 𝗶𝗻 𝟮𝟬𝟮𝟯.
Bookmark this and follow the curriculum below 👇
1. Google Project Management
🔗https://t.co/VDHOcnjAe4
2. Agile Project Management
🔗https://t.co/NkDN0IbkMu
3. Project Execution: Running the Project
🔗https://t.co/ILB0LUBaMX
4. Foundations of Project Management
🔗https://t.co/ZImytJkulJ
5. Project Initiation: Starting a Successful Project
🔗https://t.co/20KxUdMp2x
6. Project Planning: Putting It All Together
🔗https://t.co/eqoo56LqzN
7. Google Analytics for Power Users
🔗https://t.co/24xCvhBnV1
8. Fundamentals of digital marketing
🔗https://t.co/sd1ZNVyyPi
9. Python Basics for Data Analysis
🔗https://t.co/qPy56YQ1DG
10. Data Science Foundations
🔗https://t.co/8XS2myuhSF
11. Advanced Google Analytics
🔗https://t.co/Fv6VLfFbtj
12. Google Cloud Computing Foundations:
🔗https://t.co/LxxSCUPLwb
13. Data, ML, and AI in Google Cloud
🔗https://t.co/6KSC5kHump
14. Machine Learning Crash Course
🔗https://t.co/eamdnyzcGD
15. Basics of Machine Learning
🔗https://t.co/8XS2myuhSF
What would you add?🤔
Don't miss out on these fantastic opportunities to boost your skills for 🆓
Repost this post to help others seize these free courses and enhance career prospects. 🔁
Happy Learning 😊
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