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What Is Data Science?

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We've all heard it: according to Hal Varian, statistics is the next sexy job. Five years ago, in What is Web 2.0, Tim O'Reilly said that "data is the next Intel Inside." But what does that statement mean? Why do we suddenly care about statistics and about data? This report examines the many sides of data science -- the technologies, the companies and the unique skill sets. We've all heard it: according to Hal Varian, statistics is the next sexy job. Five years ago, in What is Web 2.0, Tim O'Reilly said that "data is the next Intel Inside." But what does that statement mean? Why do we suddenly care about statistics and about data? This report examines the many sides of data science -- the technologies, the companies and the unique skill sets.The web is full of "data-driven apps." Almost any e-commerce application is a data-driven application. There's a database behind a web front end, and middleware that talks to a number of other databases and data services (credit card processing companies, banks, and so on). But merely using data isn't really what we mean by "data science." A data application acquires its value from the data itself, and creates more data as a result. It's not just an application with data; it's a data product. Data science enables the creation of data products.


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We've all heard it: according to Hal Varian, statistics is the next sexy job. Five years ago, in What is Web 2.0, Tim O'Reilly said that "data is the next Intel Inside." But what does that statement mean? Why do we suddenly care about statistics and about data? This report examines the many sides of data science -- the technologies, the companies and the unique skill sets. We've all heard it: according to Hal Varian, statistics is the next sexy job. Five years ago, in What is Web 2.0, Tim O'Reilly said that "data is the next Intel Inside." But what does that statement mean? Why do we suddenly care about statistics and about data? This report examines the many sides of data science -- the technologies, the companies and the unique skill sets.The web is full of "data-driven apps." Almost any e-commerce application is a data-driven application. There's a database behind a web front end, and middleware that talks to a number of other databases and data services (credit card processing companies, banks, and so on). But merely using data isn't really what we mean by "data science." A data application acquires its value from the data itself, and creates more data as a result. It's not just an application with data; it's a data product. Data science enables the creation of data products.

30 review for What Is Data Science?

  1. 4 out of 5

    RM(Alwaysdaddygirl) Griffin (alwaysdaddyprincess)

    Good! Some reasons for 4 stars: -Interesting -I did not check all the references. There is a plethora of references. 🇺🇸

  2. 4 out of 5

    Gourav Kumar

    Precise and understandable 4 out 5 because it tells you what is data science and not how to be a data scientist. Great with explanations it covers all the aspects of data science

  3. 5 out of 5

    Santiago Ortiz

    This book is not about data science but about tools, it certainly doesn't answer title's question. This book is not about data science but about tools, it certainly doesn't answer title's question.

  4. 5 out of 5

    Ankur Pandey

    Quite informational but deviates from topic. Instead of data science it begins to discuss tools.

  5. 5 out of 5

    Sefa

    Quick read. Short introduction on what the data science is. It lists current popular technologies and gives an idea where to go from here.

  6. 4 out of 5

    Belhor Crowley

    A short but very helpful introduction to the art and science of "Data science"! More and more I feel like this is what I should do! A short but very helpful introduction to the art and science of "Data science"! More and more I feel like this is what I should do!

  7. 5 out of 5

    Gaurav Seth

    Basic Very basic. Doesn't go in deep. Fine for starters. Some examples are good but does not take a deep dip in data Basic Very basic. Doesn't go in deep. Fine for starters. Some examples are good but does not take a deep dip in data

  8. 5 out of 5

    Amyth Banerjee

    One of the most simple and comprehensive introduction to the world of Data science. A subject which otherwise maybe super technical and filled with lots of statistics and programming, this book focuses on the bigger picture and gives sufficient examples to understand the context. For those intending to get inducted into this field, it can't get better than this. One of the most simple and comprehensive introduction to the world of Data science. A subject which otherwise maybe super technical and filled with lots of statistics and programming, this book focuses on the bigger picture and gives sufficient examples to understand the context. For those intending to get inducted into this field, it can't get better than this.

  9. 5 out of 5

    Ed Barton

    Good Intro The question that comprises the title is far bigger than can be covered in this short read. However, the book gives you the first overviews of data science, data science tools, and the challenges faced by data scientists. If you’re getting into the field, this is a good spot to start your research.

  10. 5 out of 5

    Anne

    Just a lot of name-dropping, and a lot less explaining. Although I got a picture of what data science is more or less, I think it could have been said in 2 pages, and could have done with a other 20 pages going in-depth on the processes, instead of the name-dropping.

  11. 4 out of 5

    Antariksa Akhmadi

    Very brief introduction to what data science is, how does one work with it, and why people make such a big deal out of it. Although this book won't teach you how to be a data scientist, I think this is a decent point of departure for anyone wishing to learn to analyze data. Very brief introduction to what data science is, how does one work with it, and why people make such a big deal out of it. Although this book won't teach you how to be a data scientist, I think this is a decent point of departure for anyone wishing to learn to analyze data.

  12. 4 out of 5

    Joseph Munoz

    A Quick Intro to Data Science This is a nice, quick introduction to Data Science. I agree with the author in that interpreting data will become more and more important. I especially liked the linked examples the author uses to explain the concepts. Highly recommended.

  13. 5 out of 5

    Michelle

    Useful, short overview of what data science is/used for. I found some of the language quoted from Patil around hard scientists v software developers unnecessarily derogatory and self aggrandizing, though not entirely without basis in reality.

  14. 4 out of 5

    Anu Chacko

    Simple language introduction overview on data science. Finished reading in 30 minutes. Not much technical but only overview with good references for further explorations. Ideal book for someone with basic idea and want to know scope of subject

  15. 4 out of 5

    Snehashis Majumdar

    Good The book provides a brief and educational overview of data science and how it can be useful and who should understand the topic.

  16. 5 out of 5

    Arun Rajan

    Beginners guide for DS Introduction to data science explained (briefly). Limited explanation but worth a read. Could have improved the content with a bit more intense content.

  17. 4 out of 5

    Bill

    Free for Kindle.

  18. 5 out of 5

    Shilpam

    Okay quick read Gives you a basic understanding of data science with all relevant needed hyperlinks. There could have been more details added to the content list.

  19. 5 out of 5

    Ashwini

    Start here if you want to understand the beautiful and intriguing world of Data Science.

  20. 4 out of 5

    Ashish Gourav

    A precursory glance into the world of Data Science. It sheds some light on how Data Science is practised and how munging the data is a key part of the industry.

  21. 5 out of 5

    Eren Avşaroğulları

    A high level summary on the evolution of data, which emphasizing its generation, storage, processing and extracting the value.

  22. 5 out of 5

    Camila

    It was a good introduction to the topic

  23. 5 out of 5

    Tathagat Varma

    No real content.

  24. 4 out of 5

    Lokesh Joshi

    Very very intro level It’s a very intro level and somewhat repetitive, seems to be created from a blog author wrote. Good read for someone who is very new to the field.

  25. 4 out of 5

    Henrique Donati

    Good source of resources to learn The book doesn't have all the answers itself, but instead, it contains a huge collection of resources that are hyperlinked, such as videos, articles, examples, that will lead you to the answers you are looking for! Great overview and great resources. Good source of resources to learn The book doesn't have all the answers itself, but instead, it contains a huge collection of resources that are hyperlinked, such as videos, articles, examples, that will lead you to the answers you are looking for! Great overview and great resources.

  26. 4 out of 5

    Maciej Janiec

    Maybe the edition I got from Amazon wasn't complete. There was a note at the end of the "book" about the possibility of "upgrading" it, but no details why I should do it were presented. Still the book or rather a booklet was quite general, containing just a couple of potentially interesting things - mainly links to some web pages, references to other book and online courses. What I had looked like a rather lengthy advertisement for other O'Reilly publications... Maybe the edition I got from Amazon wasn't complete. There was a note at the end of the "book" about the possibility of "upgrading" it, but no details why I should do it were presented. Still the book or rather a booklet was quite general, containing just a couple of potentially interesting things - mainly links to some web pages, references to other book and online courses. What I had looked like a rather lengthy advertisement for other O'Reilly publications...

  27. 5 out of 5

    Brian Darrow

    Exactly what the title says This book won't make you a data scientist, but in about 30 minutes of reading, it will allow you to speak intelligently about the subject at a cocktail party. More importantly, it's a fantastic overview of data science and it provides copious links and references to more in depth information. If you are interested in data science but don't have a clue where to start, this book is for you. Exactly what the title says This book won't make you a data scientist, but in about 30 minutes of reading, it will allow you to speak intelligently about the subject at a cocktail party. More importantly, it's a fantastic overview of data science and it provides copious links and references to more in depth information. If you are interested in data science but don't have a clue where to start, this book is for you.

  28. 4 out of 5

    Jason

    Good overview. Good overview. While short on applicable practices in data interpretation, this book gives a high-level overview of the core concepts. And probably convinced me to go back to school. An easy and worthwhile read.

  29. 4 out of 5

    Andrew D KIm

    Good enough to understand the general topic A very general overview with some good references. Slightly dated at this point though. A few in depth examples would have been beneficial. This book is ideAl for someone just looking to understand the broad topic.

  30. 4 out of 5

    J. Arturo

    Good start, a little confusing in some parts You can get a good idea of what Data science is, but in some points it's a little confusing . Give it a chance you might find something useful. Good start, a little confusing in some parts You can get a good idea of what Data science is, but in some points it's a little confusing . Give it a chance you might find something useful.

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