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Conversations on Analyzing Data with Udacity
We recommend you take [Machine Learning 1: Supervised Learning](https://www.udacity.com/ud675) prior to taking this course.
This class will assume that you have programming experience as you will be expected to work with python libraries such as numpy and scikit. A good grasp of probability and statistics is also required. Udacity's [Intro to Statistics](https://www.udacity.com/course/st101), especially [Lessons 8, 9 and 10](https://www.udacity.com/course/viewer#!/c-st101/l-48738235/m-48688822), may be a useful refresher.
An introductory course like Udacity's [Introduction to Artificial Intelligence](https://www.udacity.com/course/cs271) also provides a helpful background for this course.