Manish Kumar

MIT University just released free online courses.

No payment required.

Here are 10 courses you don't want to miss in 2025: 

1. 𝐁𝐞𝐜𝐨𝐦𝐢𝐧𝐠 𝐚𝐧 𝐄𝐧𝐭𝐫𝐞𝐩𝐫𝐞𝐧𝐞𝐮𝐫

Topics:

• Overcoming the top myths of entrepreneurship

• Identifying business opportunities

• Performing market research and choosing your target customer

🔗 http://edx.sjv.io/Kj6PEv 

2. 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐭𝐨 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐚𝐧𝐝 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐔𝐬𝐢𝐧𝐠 𝐏𝐲𝐭𝐡𝐨𝐧.

Topics:

• A Notion of computation

• Python programming language

• Some simple algorithms

• Data Structures and more

🔗 http://edx.sjv.io/DK6BXG 

3. 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐏𝐲𝐭𝐡𝐨𝐧

Topics:

• ML problem principles

• Implement &amp; analyze models

• ML project implementation: Training, validation, tuning, and feature engineering

🔗 http://edx.sjv.io/1rY2q6 

𝟒. 𝐒𝐮𝐩𝐩𝐥𝐲 𝐂𝐡𝐚𝐢𝐧 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬

Topics:

• Basic analytical methods

• How to apply basic probability models

• Statistics in supply chains

• Formulating and solving optimization models

🔗 http://edx.sjv.io/ZQGmR0 

𝟓. 𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐭𝐡𝐞 𝐖𝐨𝐫𝐥𝐝 𝐓𝐡𝐫𝐨𝐮𝐠𝐡 𝐃𝐚𝐭𝐚.

Topics:

• Python programming and the Colab notebook programming environment

• Relationships between data using linear and polynomial regression models

And more

🔗 http://edx.sjv.io/B03Gk0 

𝟔. 𝐁𝐞𝐜𝐨𝐦𝐢𝐧𝐠 𝐚𝐧 𝐄𝐧𝐭𝐫𝐞𝐩𝐫𝐞𝐧𝐞𝐮𝐫

Topics:

• Overcoming the top myths of entrepreneurship

• Identifying business opportunities

• Performing market research and choosing your target customer

🔗 http://edx.sjv.io/Kj6PEv 

𝟕. 𝐂𝐨𝐦𝐩𝐮𝐭𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐓𝐡𝐢𝐧𝐤𝐢𝐧𝐠 𝐟𝐨𝐫 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠 𝐚𝐧𝐝 𝐒𝐢𝐦𝐮𝐥𝐚𝐭𝐢𝐨𝐧

Topics:

• Interpolation methods and their impact on model convergence

• Numerical integration techniques

• Solving linear and nonlinear equations

🔗 http://edx.sjv.io/baBqgm 

𝟖. 𝐅𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧𝐬 𝐨𝐟 𝐌𝐨𝐝𝐞𝐫𝐧 𝐅𝐢𝐧𝐚𝐧𝐜𝐞

Topics:

• Valuation of fixed income securities and common stocks

• Risk analysis, APT, Efficient Market Hypothesis

• Introduction to corporate finance and capital budgeting and more

🔗 http://edx.sjv.io/VmkQdJ 

𝟗. 𝐓𝐡𝐞 𝐒𝐞𝐜𝐫𝐞𝐭 𝐨𝐟 𝐋𝐢𝐟𝐞

Topics:

• How to describe the building blocks of life and how their interactions dictate structure and function in biology

• How to predict genotypes and phenotypes given genetics data and more

🔗 http://edx.sjv.io/XYar5y 

𝟏𝟎. 𝐓𝐡𝐞 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐨𝐟 𝐔𝐧𝐜𝐞𝐫𝐭𝐚𝐢𝐧𝐭𝐲 𝐚𝐧𝐝 𝐃𝐚𝐭𝐚

Topics:

• The basic structure and elements of probabilistic models

• Random variables, their distributions, means, and variance

• Inference methods and more

🔗 http://edx.sjv.io/B03GY0 

Stay ahead of the curve with the latest updates from around the Ai world!

Subscribe to our newsletter for concise, timely insights delivered straight to your inbox.

http://Innovatex.beehiiv.com

That's a wrap!

Hope you enjoyed it.

If you find this post helpful, please :

1. Follow me @manishkhosiya for more.
2. Like/Repost the first tweet below for support.
https://x.com/manishkhosiya/status/1910047569956262009