FREE MIT courses
𝟏. 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐭𝐨 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐚𝐧𝐝 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐔𝐬𝐢𝐧𝐠 𝐏𝐲𝐭𝐡𝐨𝐧
- A Notion of computation
- The Python programming language
- Some simple algorithms
- Testing and debugging
- An informal introduction to algorithmic complexity
- Data structures
Link: https://lnkd.in/gwhMpWck
𝟐. 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐭𝐨 𝐂𝐨𝐦𝐩𝐮𝐭𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐓𝐡𝐢𝐧𝐤𝐢𝐧𝐠 𝐚𝐧𝐝 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞
- Advanced programming in Python 3
- Dynamic programming
- Plotting with the pylab package
- Random walks
- Probability, Distributions
- Monte Carlo simulations
Link: https://lnkd.in/gfjuDp5y
𝟑. 𝐁𝐞𝐜𝐨𝐦𝐢𝐧𝐠 𝐚𝐧 𝐄𝐧𝐭𝐫𝐞𝐩𝐫𝐞𝐧𝐞𝐮𝐫
- Overcoming the top myths of entrepreneurship
- Defining your goals as an entrepreneur and startup
- Identifying business opportunities
- Performing market research and choosing your target customer
- Designing and testing your offering
Link: https://lnkd.in/gqkYmVAW
𝟒. 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐂𝐨𝐧𝐬𝐭𝐫𝐮𝐜𝐭𝐢𝐨𝐧
- Techniques for software development
- Software testing
- Design patterns
- Functional programming
Link: https://lnkd.in/ghtwpNFJ
𝟓. 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐏𝐲𝐭𝐡𝐨𝐧: 𝐟𝐫𝐨𝐦 𝐋𝐢𝐧𝐞𝐚𝐫 𝐌𝐨𝐝𝐞𝐥𝐬 𝐭𝐨 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠
- Classification, regression, clustering, and reinforcement learning
- Linear models, neural networks, and graphical models
- Implement and organize machine learning projects
Link: https://lnkd.in/g_T7tAdm
𝟔. 𝐒𝐭𝐚𝐫𝐭𝐮𝐩 𝐒𝐮𝐜𝐜𝐞𝐬𝐬: 𝐇𝐨𝐰 𝐭𝐨 𝐋𝐚𝐮𝐧𝐜𝐡 𝐚 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐂𝐨𝐦𝐩𝐚𝐧𝐲 𝐢𝐧 𝟔 𝐒𝐭𝐞𝐩𝐬
- Assess product ideas for rapid development and commercialization.
- Understand the start-up team and produce a prototype.
- Prepare and evaluate strategies to identify customers.
- Develop key steps toward making a pitch
Link: https://lnkd.in/gN3-_Utz
𝟕. 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬: 𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐚𝐥 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐨𝐦𝐩𝐮𝐭𝐚𝐭𝐢𝐨𝐧 𝐢𝐧 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬
- Model, form hypotheses, perform statistical analysis
- Use dimension reduction techniques such as principal component analysis - Visualize high-dimensional data
- Model time series using moving average
- Use Gaussian processes to model data
