Paperback: 384 pages
Publisher: Pearson FT Press; 3 edition (December 17, 2014)
Language: English
ISBN-10: 0133382664
ISBN-13: 978-0133382662
Product Dimensions: 6.9 x 0.9 x 9 inches
Shipping Weight: 1.3 pounds (View shipping rates and policies)
Average Customer Review: 4.6 out of 5 stars See all reviews (9 customer reviews)
Best Sellers Rank: #329,742 in Books (See Top 100 in Books) #333 in Books > Business & Money > Education & Reference > Statistics #649 in Books > Science & Math > Mathematics > Applied > Statistics #866 in Books > Textbooks > Science & Mathematics > Mathematics > Statistics
I took (and liked some of) a lot of math and statistics as an undergrad years ago. I haven't used much of it since then. I thought this book would be too basic for me but think it is pretty good. It's not a dumbed down "For Dummies" book with bad humor. It's not a math survival book aimed at MBA or pre-MBA students that want to know the bare minimum to get by. But then, its not a really dry textbook that everyone struggles with except the three uber-geeks at the front of your classroom.The examples look fairly relevant to ordinary people. The layout of the book strikes a nice balance between either tons of white space, or book pages crammed with tiny text and no margins. I can read the book from 3 feet away with scratched/dirty glasses.
Launching new projects is hard work for project managers. You have new people, politics, policies and processes you need to figure out - FAST! Now if you have just been assigned an analytics or Big Data project, you have new buzz words to figure out.Every analytics or big data project manager needs “Even You Can Learn STATISTICS and ANALYTICS" This is a marvelous read. It presents a concept, then examples and then further explanations (which it calls Interpretation.)This 3rd edition adds a new chapter on Analytics concepts, new chapters on descriptive and predictive analytical methods. This is a fast and fun read. It isn’t quite beach reading yet is easy to read and to skip to areas which apply to your projects.
I like this book. It is easy to follow along and is full of examples and exercises. I got this book in particular so that I could practice doing stats and data visualization in R. I did have to convert the .xls to .csv beforehand (though I could have used the XLConnect library). It's easy to take one question or table and make a lot of different visualizations out of it. NOTE: this does not teach you R.For data viz i recommend this guide to ggplot2: https://www.rstudio.com/wp-content/uploads/2015/03/ggplot2-cheatsheet.pdf
I had to buy this book for a college statistics class. The book is not overly helpful in actually teaching statistics if you were on your own but is not a bad reference with a class and youtube.
A great book for starting a square 1 and being out of school for decades. Love that fact that it works hand and hand with excel.
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