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Prior to reading this text one would have thought data science a new term for statistical analysis or data mining. This book nicely describes how this new field differs from the "old sciences". The intellectual basis is at a readable level for even the newest of new dummy looking for clues as to just what data science is.
English continues to spawn new words and fields of study, the dummies series and this title does not disappoint once again in providing a readable description of what is an emerging field.
This is an excellent introductory overview to Data Science. I have been a programmer since 1978, and one of the first languages I learned was SAS. I used SAS to analyze a multitude of problems, and also used it to convert data from one format to another (ETL type functions). I kind-of, sort-of realized I morphed into a data scientist through the years, but never had a overall view of the subject. This book supplies the framework I've been missing. It's easy for a programmer to lose the forest for the trees, and count me in, as a member of that group. This book clearly outlines the difference between data engineer and data scientist and the types of tools and activities within each domain. It addresses the why and the what, given various scenarios. It wisely stops short of giving explicit coding examples for most topics, meaning the how, in terms of coding, is frequently not present. However, to do that, in my opinion, would take at least another book. Make no mistake, there are coding examples, links to useful resources and good chapters on Python and R. But what helped me the most, was an outstanding view of the field of data science. Well written and easily accessible. I have the Kindle version, and it looks good on my laptop. Hope to see more from this author.
The field of data science has exploded in the last 10 years. Yes, data analysis has existed well before that, but the reality is that being a "data scientist" is pretty great right now. So many tools, opportunities, and growth potential for businesses around the world. I absolutely loved this book, and I am a seasoned data analytics professional. It covers topics generally and much more specifically depending on what your intent is. I use this book as a reference to paint a data picture of how business intelligence can help individual businesses succeed. When I am looking for a way to explain a concept to someone who might not live, eat, breath data analysis...this book is great.
The author was not out to write the definitive, historical view of data science. She was trying to paint a broad stroked picture of the landscape right now that is big data, data science, and all things analytics. It is an enjoyable read and I would recommend this book highly to my friends and colleagues within the field of data analytics. In addition, I would also highly recommend those that want to start in the field review this book and come to interviews ready to talk about these resources. It will make you a much better candidate. Thanks again Lillian Pierson for writing such a great primer on data science for the masses.
Lillian Pierson is amazing!! I bought this book knowing almost nothing about data science. But her easy to read and straight forward communication style has me coming up to speed in no time! In fact, I had "Data Science For a Dummies" sitting on my kitchen counter and my boyfriend, who is much more versed than me in all things data related, was so intrigued he started reading it too! We are going to have to get a second copy, because he keeps swiping mine! Excellent book!
Great introduction into the vast field of data science, lots of information (from relevant maths and statistics to infographics and presentation tips) in there but still easy to read. Though I wish I bought a hard copy since the electronic edition is not so nicely formatted
Good overview of the field but sometimes gets too much into the weeds of what the author is an expert in (geographic systems). Would have preferred a lot more practical examples and depth and a lot less breadth ...