What you need to know about data mining and data-analytic thinking - Data Science for Business

Data Science - I heard a lot about it on the internet, that incorporates varying elements and builds on techniques and theories from many fields, including math, statistics, data engineering, pattern recognition and learning, advanced computing, visualization, uncertainty modeling, data warehousing, and high performance computing with the goal of extracting meaning from data and creating data products.
I thought that is kind of things for skills for it. Anyway, Something data scientist should do... Using data benefit with business and organization. Using data to support business decision-making. So, some book is interesting. Data Science for Business What you need to know about data mining and data-analytic thinking By Foster Provost, Tom Fawcett. A book gives much more idea for readers to improve communication between business stakeholders and data scientists and how participate intelligently in your company’s data science project and  how to think data-analytically and etc.
As readers know that Data Science will talk a lot about algorithms, but this book is not a book about algorithms. It is intended for several sorts of readers:
• Business people who will be working with data scientists, managing data science–
oriented projects, or investing in data science ventures,
• Developers who will be implementing data science solutions, and
• Aspiring data scientists.
Book Website - I was excited for a book, it is already being used as a textbook by multiple universities in eight countries.
In a book, readers will find lots of examples and techniques.Leaning how to use data with business as data scientist.