We know very well that many of you out there are struggling with defining your path to success in the field of data science. At the same time, the world of business and technology is needing ever higher numbers of Data Scientists as business and technology leaders realize the importance of Data Science for new/existing products and business initiatives. While businesses are struggling to find the right kind of data scientists and the right kind of processes for solving their problems; data scientists are getting overwhelmed with a vast array of problems that they are expected to solve and the background knowledge and skills they need. Data Science is still a new field, and not many books are available that can introduce the subject systematically without getting readers overwhelmed and bogged down with endless complexity. This book will help you solve data science skills issue facing many organizations and individuals. In this book, we will get you started with mastering data science through a systematic set of practical exercises, and relevant background concepts. This book can be used as a textbook for an introductory course on data science as well as a reference for learning data science on your own if you have some background in programming, mathematics, algorithms, and related fields. In this book, I will help you build your concepts and background by introducing:* Introduction and Background to Data Science* Essential Python skills for Data Scientists* Exploratory Data Analysis and Visualization skills with many code examples and exercises* Essential algorithms such as Decision Trees, Clustering, Regression with help of code examples* Feature engineering* Evaluating classifier performance and optimization of parameters for improving performance* Implementing data science API's for linking your models with your web and mobile applications