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Feb 06, 2016 Hayden rated it really liked it

A good introduction to using data for business intelligence. It was a little basic but did cover a lot of topics and gave a good overview of the different techniques used within data mining. There is an excellent set of tutorials in the appendix that help you get started doing your very first predictions.

Read as a textbook for an information security course. For a textbook, it's well written, but parts were, understandably, pretty dull. I am glad they started each chapter with a "caselet" for context. They also explained everything very well, but I did not miss my last statistics course. They also include a tutorial for R, which I should re-learn one of these days.

My biggest critique of this book has to do with its format. For whatever reason, it is only available on Amazon as an ebook. I never

Read as a textbook for an information security course. For a textbook, it's well written, but parts were, understandably, pretty dull. I am glad they started each chapter with a "caselet" for context. They also explained everything very well, but I did not miss my last statistics course. They also include a tutorial for R, which I should re-learn one of these days.

My biggest critique of this book has to do with its format. For whatever reason, it is only available on Amazon as an ebook. I never noticed that my Surface doesn't have the Amazon Kindle app, but now I know why. So, long post short, I was stuck reading this ebook on my smartphone. Not ideal. Print still has its advantages.

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Data Analytics Made Accessible gives a pretty comprehensive whirlwind tour of all the major topics and considerations one might expect on the topic of Data Analysis. It feels quite complete and for that I'm more than happy to declare that I got good value for money from this book and will probably refer back to it again in the future. However, there are a couple of issues I have with how the book is written that cause me to knock its rating from a potential four to a possibly undeserved three st Data Analytics Made Accessible gives a pretty comprehensive whirlwind tour of all the major topics and considerations one might expect on the topic of Data Analysis. It feels quite complete and for that I'm more than happy to declare that I got good value for money from this book and will probably refer back to it again in the future. However, there are a couple of issues I have with how the book is written that cause me to knock its rating from a potential four to a possibly undeserved three stars.

To begin, the book sets out to make the topic accessible. I would argue that it does achieve this but uses a very formulaic structure that often feels like a checklist being completed 15-times over until completion. While I realise this shouldn't necessarily be faulted, it does end up falling into the realm of being quite stale and the writing itself lacks any kind of injection of personality, for example through interesting anecdotes or curious counter-intuitive facts that have come about through the increased use of data for business and life in general. When all's said and done, the book feels like it could have been written by a pretty smart A.I. referencing the most relevant generic sources of content for its research.

The reason for me landing on a poorly three-star rating is that despite the clinical tone, the book is heavily peppered with typos and grammatical errors throughout, which perhaps could be overlooked but equally cannot be due to their regularity and gravity. It could be my perception but they seemed to increase towards the end of the book, suggesting the author was in a hurry to be done instead of taking the time to make sure the finished product would be something he could be proud of. For me, on this occasion, the errors must be acknowledged and reflected in the final rating.

Having cleared the air with those potentially minor gripes, I must go back to the fact that this book really is a good starting point for anyone with a passing curiosity of what Data Analytics and Big Data really means. Maheshwari clearly has a deep understanding of each disparate aspect and can communicate that without resorting to jargon. I particularly like the handful of thought-provoking questions at the end of each chapter, designed to make the reader contemplate just how each topic applies in the real world.

A worthwhile read, just a pity about the lack of care and attention that went into the writing. Three Stars.

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Feb 15, 2018 Felix rated it really liked it

Data Analytics made accessible is written for the Data science newbie who is looking for an introductory book that is neither too technical nor too shallow but one that is engaging enough to cover most analytics topics.The book contains caselets on real world stories to introduce each chapter and ends with challenging exercises meant to reinforce the readers understanding of the discussed topics.

The book covers most of the topics on what data science entails today. Divided into three sections, A

Data Analytics made accessible is written for the Data science newbie who is looking for an introductory book that is neither too technical nor too shallow but one that is engaging enough to cover most analytics topics.The book contains caselets on real world stories to introduce each chapter and ends with challenging exercises meant to reinforce the readers understanding of the discussed topics.

The book covers most of the topics on what data science entails today. Divided into three sections, Anil welcomes the reader by discussing topics related to business intelligence.The important concepts of Data warehousing, data mining and data visualization are all discussed in an accessible way.The book then progresses to discuss some of the common machine learning algorithms in the second section before winding with a brief on text mining, web mining,data modeling and big data.

Each chapter is introduced with a real world example and concluded with practice exercises. These make the concepts discussed more practical and give the reader the urge for further research.There are also lots of illustrations and discussed step by step walkthroughs on various algorithms.

Anil Maheshwari is an experienced business intelligence and data mining lecturer.He wrote the book from his class notes and made it in such a way that it covers everything important without being intimidating to the uninitiated. His chief aim is to invite the readers to join the field of data science.

I did not like how brief most of the chapters turned to out to be. Though this is meant to be an introductory book, the author is too brief in some of the chapters and thus the concepts a left floating on the readers head.This is more prevalent in chapters towards the end of the book.

This is the best introduction to data science book available. The author uses simple language to discuss a fairly complex topic and covers a wide spectrum of data science concepts.I would highly recommend the book to those very new to the field. This is not recommended for anyone with a fair amount experience.

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The book summarized various topics regarding the data analytics profession in a succinct and simple way that anyone can catch up. Of course it contained some technical materials such as statistics and probability models or database structure but one can follow up more easily by following examples and actual business practices mentioned every section. The author also provides insights into the career prospect of the sector as well as some good advices to anyone aspires to follow this profession. The book summarized various topics regarding the data analytics profession in a succinct and simple way that anyone can catch up. Of course it contained some technical materials such as statistics and probability models or database structure but one can follow up more easily by following examples and actual business practices mentioned every section. The author also provides insights into the career prospect of the sector as well as some good advices to anyone aspires to follow this profession. As data is growing more and more important in this era, a good data analysis skill set can be beneficial to anyone working in any domain. ...more

Aug 11, 2021 Tal rated it liked it

Fairly ok as a basic place to start on the topic. The author doesn't stick to one audience though - sometimes it is overly accessible, sometimes meant for people with very good understanding of the topics. A lot of errors, which good editing could have dealt with. It was particularly annoying when the text in his graphics was cut off by poor formatting.

The book definitely did introduce me well to many topics, but I was very glad to be done with it.

Fairly ok as a basic place to start on the topic. The author doesn't stick to one audience though - sometimes it is overly accessible, sometimes meant for people with very good understanding of the topics. A lot of errors, which good editing could have dealt with. It was particularly annoying when the text in his graphics was cut off by poor formatting.

The book definitely did introduce me well to many topics, but I was very glad to be done with it.

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Mar 19, 2018 Wes rated it it was amazing

Good Overview

Good high level overview on a large number of topics. Doesn't get too detailed but uses good examples to demonstrate concepts. Good for a basic understanding of the breadth of data analytics.

Good Overview

Good high level overview on a large number of topics. Doesn't get too detailed but uses good examples to demonstrate concepts. Good for a basic understanding of the breadth of data analytics.

...more

Nov 11, 2018 Cyndi rated it it was amazing

I found this book very informative. It filled in some of the gaps I had in understanding data science. I particularly liked that it explained some of the statistics involved. This was a good read and everything was understandable. I feel ready for my Data class.

Good for beginners

This is a good book for people who are just learning about data analytics and all its components. Each chapter was one aspect of data analytics and very informative with examples to illustrate the points.

Excelente libro para los que nos gusta la analítica de datos

Bien distribuido el libro. Super completo. Me gusto ya que te ayuda a conocer cuáles son las técnicas que se puede aplicar a la información y extraer conocimiento

Review

This is a great book for those wanting to study data science. But as for me it went too deep

Dec 31, 2018 Bari Dzomba rated it really liked it

Basic. On a scale of 1-10 with 1 being an introductory book this is about a 2.

Jun 01, 2019 Moncholero rated it it was amazing

Excellent and comprehensive introduction!

Great introductory book, easy to read and well explained. It covers all main topics, but providing recommendations on further reading.

Mar 25, 2020 John Russell rated it it was amazing

Pleasant surprise!

Nice tour through analytics space. Not too deep, just what I needed. Well written with clear examples. Loved the exercises and thought provoking questions.

Easy access to the data analytics world, but understanding complex mechanism by clear and cristal explanation

Jul 16, 2021 Sheena rated it liked it

Favorite chapter was that on Decision Trees.

Required text for a Business Intelligence course at school. The book provides the foundations of several Data Mining techniques. Favorite chapter was that on Decision Trees.

The book provides a high-level perspective of Business Intelligence, Data Mining, and Big Data.
Good for management and non-technical people.

I give this book 3.5 stars. It's a good reference book on data science and data analysis. I give this book 3.5 stars. It's a good reference book on data science and data analysis. ...more

Employees on the business-side of the company and starters seem to get the most out of this book. It discloses various topics of Analytics / Data Science. The case-lets that illustrate the concepts are current and I could relate to some of them myself. The questions provided at the end of each chapter help you revise and solidify the techniques described in the chapter.

Decision Tree and Regression are very detailed and I thoroughly enjoyed learning those algorithms.

Simple language is required fo

Employees on the business-side of the company and starters seem to get the most out of this book. It discloses various topics of Analytics / Data Science. The case-lets that illustrate the concepts are current and I could relate to some of them myself. The questions provided at the end of each chapter help you revise and solidify the techniques described in the chapter.

Decision Tree and Regression are very detailed and I thoroughly enjoyed learning those algorithms.

Simple language is required for a complex subject like Data Science and that's precisely what the author presents in this book.

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May 31, 2019 Maria rated it liked it

Filled with mini case studies, pictographs, charts and review questions. This book aims to make data analytic concepts more accessible - but to whom? In reality this is a college textbook- not fun reading and not accessible to the basic person. But if you are majoring in Business, Science, Math or some other technical subject I'm sure it is quite fascinating. This book was not up my alley although I do want to know more about data analysis. I found the discussion on the future of artificial inte Filled with mini case studies, pictographs, charts and review questions. This book aims to make data analytic concepts more accessible - but to whom? In reality this is a college textbook- not fun reading and not accessible to the basic person. But if you are majoring in Business, Science, Math or some other technical subject I'm sure it is quite fascinating. This book was not up my alley although I do want to know more about data analysis. I found the discussion on the future of artificial intelligence as it relates to its impact on the workforce to be interesting and concerning. ...more

Great and concise book

Not just the book was great, the questions, examples and exercises were amazing. I truly recommend this book to anyone is planning to embark in an data analytics endeavor.

Amazing book

The author of the book knows this subject very deeply, easy to understand , well explained. I recommend this book to everyone who wants to understand big data theoretically and practically.

Feb 29, 2016 Rick Yvanovich rated it really liked it

This is a sort of everything you want to know about Business Intelligence and Data Mining. Lots of bullet form, and checklists of knowledge you need to remember.
Relatively easy read despite the subject matter.

Como introducción al análisis de datos es bastante ameno, pero se queda corto en algunas técnicas.

General overview of Data Analytics. As a general overview or introductory book very good. if you expect something more in-depth you should probably look elsewhere

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