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Even now, there are colossal streams of data yet to be explored – a level of insight that could prove groundbreaking if used in the right way. In 2013, less than 0.5% of all available data was analyzed, used, and understood. Why You Need To Read Data Science Booksīefore we tell you why each of our entries makes the best books on data science, it’s important to give you a little context on this most exciting of modern fields.
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So, what makes the best book for data science? Read on and find out.
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Wondering which data science book to read? Download our free guide! That being said, here, we explore 14 of the best data science books in the world today, highlighting the very features, topics, and insights that make each of these institutional data-centric bibles crucial for the success of your career and business.Įxclusive Bonus Content: The top books on data science summarized! It is also wise to clearly make a difference between data science and data analytics in a business context so that the exploration of the fields bring extra value for interested parties. By acquiring a deep working understanding of data science and its many business intelligence branches, you stand to gain an all-important competitive edge that will help to position your business as a leader in its field. The ever-evolving, ever-expanding discipline of data science is relevant to almost every sector or industry imaginable – on a global scale. At present, around 2.7 Zettabytes of data are floating around in our digital universe, just waiting to be analyzed and explored, according to AnalyticsWeek.īy gaining the ability to understand, quantify, and leverage the power of online data analysis to your advantage, you will gain a wealth of invaluable insights that will help your business flourish. “Big data is at the foundation of all the megatrends that are happening.” – Chris Lynch, big data expert