Data Science and Big Data Analytics

The book is about big data and data science fundamentals. It basically explains about data science life cycle and what are the major components of data science. Statistics and visualization are the main components of data science, and the book focuses on their Implementation of them in different programming languages like R. Machine learning is currently in trend, and we depend on technology one way or another. This interdependency has magnified the scope of data science and big data analytics. The book is written effectively a reader-friendly manner which targets an audience that is new to data science. The concepts are easy to understand and can be implemented in normal ways through the procedure and algorithms given in the book. Analytics is an evolving field as the amount collected is enormous and, day by day is multiplying by exponential factors.

The job roles and requirements can be fulfilled by learning the topics given in the book. There are two types of people who should read this book: people who don’t believe in the merits of big data and predictive analytics and people who are so interested in these topics that they love learning about the current use cases of these technologies.

Big data can be a great choice to begin your career in the IT industry. It is in great demand right now, and people can pursue a great career in this field. Data science involves a lot of research and many mechanisms; hence people have a wide range of learning options.

This book covers most of it and clears the basics of data science and big data analytics.