Each day, our society creates 2.5 quintillion bytes of data. With this flood of data the need to unlock actionable value becomes more acute, rapidly increasing demand for Big Data skills and qualified data scientists. Data Science and Big Data Analytics is about harnessing the power of data for new insights. A data scientist is somebody who is inquisitive, who can stare at data and spot trends. Big Data brings new opportunities to modern society and challenges to data scientists. According to the optimists, big data in combination with the Internet of Things (IoT), a world where the vast majority of gadgets, machines, and humans are connected to the internet and to each other promises a future where all important decisions about business, life, and society would be taken purely and happily on the basis of data. Prime Minister Narendra Modi has launched an ambitious initiative to digitise India by making Internet access available to over two lakh villages by 2019, promoting e-governance, e-banking, e. education and e-health, and transforming India into a knowledge economy. Covering issues ranging from cyber security and promoting startups to digital highways and "Design in India," Government will invest Rs4.5 lakh crores in the Digital India program which will generate 18 lakh jobs."Reliance Industries (RIL) Chairman Mukesh Ambani said that he will invest Rs2.5 lakh crores which will create employment for over five lakh people. Cyrus Mistry said that Tata Group will hire 60,000 IT professionals, this year. K.M. Birla said that the Aditya Birla Group would invest Rs44,500 crores in next five years in the infra and digital space. That is why Data Scientists are in high demand. The scarcity of data analytics talent is acute and demand for talent is expected to be on the higher because of the present digital India initiative besides many global organizations are outsourcing their work at India. There is not enough talent to fill the jobs. Because the sexiest job of 21th century requires a mixture of broad, multidisciplinary skills ranging from an intersection of mathematics, statistics, computer science, communication and business. Bangalore becoming the data science hub of India both from new startup clusters as well as established analytics firm opening their shop in Bangalore. The book covers breadth of activities, methods and tools that Data Scientists use. It will guide how to become a successful data scientists coming from a number of different disciplines: biostatistics, econometrics, engineering, computer science, physics, applied mathematics, statistics, machine learning, and other interrelated disciplines.
