MATLAB Complete Stanford University 4 weeks Short Course

7. Data Science: Machine Learning

Duration – 8 weeks
Time Commitment – 2-4 hours per week

In this course, you will learn popular machine learning algorithms, principal component analysis, and regularization by building a movie recommendation system. You will learn about training data, and how to use a set of data to discover potentially predictive relationships. As you build the movie recommendation system, you will learn how to train algorithms using training data so you can predict the outcome for future datasets. You will also learn about overtraining and techniques to avoid it such as cross-validation. All of these skills are fundamental to machine learning.

8. Data Science: Productivity Tools

Duration – 8 weeks
Time Commitment – 1-2 hours per week

This course explains how to use Unix/Linux as a tool for managing files and directories on your computer and how to keep the file system organized. You will be introduced to the version control systems git, a powerful tool for keeping track of changes in your scripts and reports. The course also introduces you to GitHub and demonstrate how you can use this service to keep your work in a repository that facilitates collaborations.

You can register for these courses by going to the official Stanford University.

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