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Pattern Recognition for Fun and Profit with Udacity
To succeed in this course, you must be proficient at programming in Python and basic statistics. If you need a refresher on any of these topics, you can check out these courses:
- [Intro to Computer Science](https://www.udacity.com/course/cs101) (You should know basic data structures and control statements, and be able to write and import functions.)
- [Inferential Statistics](https://www.udacity.com/course/ud201)
- [Descriptive Statistics](https://www.udacity.com/course/ud827)
One additional course that would be nice to have is Intro to [Data Science](https://www.udacity.com/course/intro-to-data-science--ud359), as this will get you familiar with scientific problem-solving. However, completion of that class isn't required for success. We will also use a tiny bit of git, which you can also learn about on Udacity.
One thing that we don’t require is previous exposure to machine learning. If you’re a machine learning beginner, you’re in the right place.