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Students should have some familiarity with basic statistical and linear algebraic concepts such as mean, median, mode, standard deviation, correlation, and the difference between a vector and a matrix. Additionally, Python is a requirement for the course. In Python, it will be helpful to know basic data structures such as lists, tuples, and dictionaries, and what distinguishes them (that is, when they should be used). Python v2 is currently used in the course.
To ensure everyone begins the course on the same page, students are encouraged to complete the following pre-work (approximately 8 hours) before the first day of instruction:
- Exercises 1-7, 13, 18-21, 27-35, 38,39 of Learn Python The Hard Way.
- Videos 1-6 of Linear Algebra review from Andrew Ng’s Machine Learning course (labeled as: III. Linear Algebra Review (Week 1, Optional).
- The exercises in Chapters 2 and 3 of OpenIntro Statistics.