MIT just made its AI classes available online for free
These course is the first of a two-course sequence: Introduction to Computer Science and Programming Using Python, and Introduction to Computational Thinking and Data Science.
Together, they are designed to help people with no prior exposure to computer science or programming learn to think computationally and write programs to tackle useful problems. I go through the course and collect the main outline of each class.
The following ten classes are must-takes in 2024:
1. Using data to understand the world
a. Capabilities in data analysis
b. A few basic algorithms
c. A Computational Notion
d. Data Structures and Additional
Enrol today at MIT Understanding the World Through Data” at https:edx.org/learn/data-science.
2. Python-Based Machine Learning Model Selection
ML Project Management Issue Resolution Apps for the real world
The MIT machine learning programme uses Python to move from linear models to deep learning.
3. Statistics Fundamentals
Create estimators using the maximum likelihood and technique of momentsAnalyse dataConcepts related to probabilityPractical applications
Fundamentals of Statistics, Massachusetts Institute of Technology, https:edx.org/learn/statistics
4. An Overview of Python Programming and Computer Science
Easy to use for beginners Teach Python Address issues Practical exercises
Register today for the MIT Introduction to Computer Science and Python Programming course at
https:edx.org/learn/computer-science.
5. Likelihood The Data-Driven Science of Uncertainty
Concepts related to probability statistical techniques data analysis practical applications
probability, the science of uncertainty and data, at http edx. org
6. Analytics for Supply Chains
A data-driven strategyManagement of the supply chainAnalytical instrumentsUse in business applications
The MIT supply chain analytics is available at : https://www.edx.org/learn/supply-chain-design
7. An Overview of Data Science and Computational Thinking.
Monte Carlo models.using the PyLab programme for plotting.Probabilistic modelling and statistical reasoning.
Introduction to Computational Thinking and Data-4, available at http:edx. org
8. Starting my own business.
Finding commercial prospects.creating and evaluating your product.busting the biggest entrepreneurship myths.
Becoming an entrepreneur at MIT is available at https edx. org/ learn/entrepreneurship.
9. Using Computational Thinking in Simulation and Modelling
Concepts of modellingTechniques of simulation
The MIT uses computational thinking for modelling and simulation.
10. The Basics of Production Procedures
Production techniquesDesign ideasSciences of materials
The principles of manufacturing processes at the MIT can be found at https:edx. org/learn/manufacturing/
