This book is written to help beginners in Data Science and covers the basics of statistics, data analytics and Python data analysis programming. It is intended to serve as a textbook for the first level course in Data Science. Topics covered in this book include Data Science fundamentals, statistics, data wrangling, data plotting and visualization, time-series data analysis, exploratory and predictive data analytics using machine learning techniques. This book is suitable for both postgraduate and undergraduate students of computer science and engineering (CSE) and information technology (IT). In fact this book is open to anyone who has an interest in data analytics and wants to build a career in Data Science. Some of the book's key features include simple and coherent explanations of concepts and techniques, as well as problem-solving solutions that are to the point. At the end of each chapter, a rich set of exercises is provided, as well as implementation of the concepts using the Python programming language with step-by-step comments to explain each instruction of the Python code, worked-out examples and case studies for data analytics, and identifies solutions using machine learning techniques with Python implementations.