Data from: @laobaishare
- Introducing computer science and programming using Python.
·The concept of computing
· Python programming language
·Some simple algorithms
·Testing and debugging
·Informal introduction to algorithm complexity
·Data structure
🔗 https://edx.org/course/introduction-to-computer-science-and-programming-7
- Python Machine Learning
- Principles of machine learning problems
- Implementation and analysis models
- Choose the right model for different applications
- Machine learning project implementation: training, verification, tuning and feature engineering
🔗 https://edx.org/course/machine-learning-with-python-from-linear-models-to
- Introduction to computational thinking and data science.
·Drawing using pylab package
·Random programming and statistical thinking
·Monte Carlo simulation
🔗 http://edx.org/course/introduction-to-computational-thinking-and-data-4
4. Computational thinking for modeling and simulation
- Interpolation methods and their influence on model convergence
- numerical integration techniques
- The process of numerical differentiation
- Solving linear and nonlinear equations
🔗 http://edx.org/course/entrepreneurship-101-who-is-your-customer
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