With data science making it into the list of the most promising careers, a lot of people have started to show interest in the same. In order to stay ahead in the race, having sound knowledge about data science is the key. No wonder, there are numerous ways in which one can gain knowledge. However, one such way that poses as a hub of truckloads of knowledge and is within everyone's reach is that of availing knowledge from the books. If you are looking forward to making a promising career in the magical field of data science, now is the time to pick up the right books on the same. With that being said, here are some of the top books to read on data science that would help you stand apart from the rest. Keep reading!

Data Science from the Scratch – by Joel Grus

Evidently enough, this book is for the ones who have just stepped into the magical world of data science. This book has concepts right from scratch that a beginner can very easily understand without any difficulty whatsoever. Additionally, if you are an experienced data scientist, you still can refer to this book to brush up on your concepts and have a clearer und

Data Science for Business

By Foster Provost and Tom Fawcett – Considering how vast the application of data science is, one can make use of it in order to have a competitive advantage. It is exactly here that this book comes in handy. This is a must-read book for those business people who would want to have a better understanding of how data science could be used to achieve a competitive advantage.

The Art of Statistics

By David Spiegelhalter – With the main objective of data science revolving around drawing meaningful conclusions out of the raw data, this book – The art of Statistics, serves to be no less than a saviour. It is an excellent book that helps in deriving meaningful insights from raw data and how can one deal with a variety of problems using Statistics.

Practical Statistics for Data scientist

By Peter Bruce, Andrew Bruce, and Peter Gedeck – For the ones looking for a high-level guide to learn about statistical methods in detail, this book is a must-read. As this book is a package of in-depth explanations of the mathematical concepts, it serves to be an excellent medium to gain knowledge about various important concepts using R and P

Storytelling with data – By Cole Nussbaumer Knaflic

Considering the fact that data visualization is a key aspect of data science, it is important that data scientists are well versed with data visualization as well. A data scientist should be able to design charts and dashboards to get the right insights out and help in making informed decisions for the organization. On that note, 'Storytelling with data' is one of the most sought-after books for data visualization and is a blessing for anyone who aims at getting better at presenting information in a clear, concise, and graphical way. With this book, you are not only aware of the fundamentals of data visualization but are also in a position to effectively communicate with data and deal with real-world problems and issues in the best possible manner.