HBR Guide to Data Analytics Basics for Managers (HBR Guide Series)
Product ID: 60665905
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Buy HBR Guide to Data Analytics Basics for Managers (HBR Guide Series) on desertcart.com ✓ FREE SHIPPING on qualified orders Review: Great! - This is a terrific book (if you're into this kind of stuff). Thomas Davenport, the presumptive editor of this, is a master at this area. He's written extensively and provocatively about business analytics, and true to form, this book is very approachable for novices and experts alike. I instruct graduate-level students in business analytics and use this book as a my textbook. If you're a manager interested in making data analytics part of your repertoire of knowledge and experience, read this. Review: Great preparatory book before (and during) diving into analytics for the beginner. - This book was recommended by my professor of market analytics. I read different chapters from here as I ventured into analyzing data using statistical tools, making sense of the past, and making predictions for the future to make better business decisions. It also shows how presenting the results easy enough for a layman to understand is important. The book is very helpful in laying foundations in data analytics. It is explained in easy to understand (non-math :)) language with examples that I could follow with ease. This book will certainly help anyone who is a beginner at data analytics.
| Best Sellers Rank | #156,953 in Books ( See Top 100 in Books ) #227 in Business Decision Making #429 in Decision-Making & Problem Solving #1,061 in Business Management (Books) |
| Customer Reviews | 4.4 4.4 out of 5 stars (537) |
| Dimensions | 5 x 0.7 x 9 inches |
| Edition | Illustrated |
| ISBN-10 | 1633694283 |
| ISBN-13 | 978-1633694286 |
| Item Weight | 2.31 pounds |
| Language | English |
| Print length | 256 pages |
| Publication date | April 3, 2018 |
| Publisher | Harvard Business Review Press |
B**T
Great!
This is a terrific book (if you're into this kind of stuff). Thomas Davenport, the presumptive editor of this, is a master at this area. He's written extensively and provocatively about business analytics, and true to form, this book is very approachable for novices and experts alike. I instruct graduate-level students in business analytics and use this book as a my textbook. If you're a manager interested in making data analytics part of your repertoire of knowledge and experience, read this.
I**Y
Great preparatory book before (and during) diving into analytics for the beginner.
This book was recommended by my professor of market analytics. I read different chapters from here as I ventured into analyzing data using statistical tools, making sense of the past, and making predictions for the future to make better business decisions. It also shows how presenting the results easy enough for a layman to understand is important. The book is very helpful in laying foundations in data analytics. It is explained in easy to understand (non-math :)) language with examples that I could follow with ease. This book will certainly help anyone who is a beginner at data analytics.
I**A
Standard review
Standard HBR. Nothing fancy, guide for manager to cope with AI era.
J**N
Good read
This is a great analytics primer. The book tackles data analysis from a variety of perspectives. I recommend it for managers who cringe whenever they see numbers plastered on a PowerPoint or who instantly go into Charlie-Brown’s-teacher mode (whomp whomp whomp) whenever an analyst explains the nuances of a report. This book will equip you with enough information to be dangerous whenever you converse with Quants.
K**L
Good Book but dry subject
Good Book but dry subject
J**A
A must read
Must read
B**N
Required Reading!
Thank you for this book!
I**S
good
good
M**A
Good book for business professionals. Fast delivery. Thanks a lot.
S**H
Finally I found a seller's who committed to provide to fresh looking books.. Needless to say about content of book. Thanks Amazing buy! Regards, Suresh Kumar R
A**N
Very good read. Summarized through 20+ articles covering most of data science process chain. Short enough to finish over a long weekend. Helped me to refresh some basic concepts in stats, predictive analysis, visualization, etc..
K**K
Always good from HBR and this was no exception. Well written, with lots of interesting anecdotes and in very good and manageable chunks that cover the main wave tops
M**Z
Muy bueno recomiendo que sea traducido al español
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