Professional and emerging data scientists who want to sharpen their skills and see practical examples of working with big data: a data analyst who wants to effectively extract actionable information from large amounts of data and an aspiring statistician who is willing to get beyond the existing boundaries and become a data scientist.

The book style is pretty much hands-on, I don't delve into mathematical proofs or validations, with a few exceptions, and there are more in-depth texts that I recommend throughout the book. However, I will try my best to provide code samples and tricks that you can start using for the standard techniques and libraries as soon as possible.