The book allows you to master data science by starting “from scratch.” It is written in such a way that it facilitates the immersion in Data Science of an analyst who does not actually have deep knowledge in this applied discipline. At the same time, you will be convinced that the software libraries described in the book , platforms, modules, and tools packages designed for data science, are great at handling data analytics tasks. And if you have a knack for math and programming skills, Joel Gras will help you get comfortable with math and statistics. underlying data science, as well as the algorithmic techniques you'll need to work in the field. Featuring Python 3.6 and filled with new material on deep learning, statistics, and natural language processing, the book's updated second edition shows you how to find those precious stones in today's cluttered and redundant data flow.