BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Data Smart: Using Data Science to Transform Information into Insight

Data Smart: Using Data Science to Transform Information into Insight

Data Smart: Using Data Science to Transform Information into Insight Paperback -

by Goldmeier, Jordan

Add to wish list
  • Used
  • very good
  • Paperback
Used - Very good

Description

Paperback. Very Good.
Ask the seller a question Add to wish list
A$49.51
A$16.48 Delivery to USA
Standard delivery: 7 to 40 days
More delivery options
Ships from World of Books Ltd (West Sussex, United Kingdom)

Details

  • Title Data Smart: Using Data Science to Transform Information into Insight
  • Author Goldmeier, Jordan
  • Binding Paperback
  • Condition Used - Very good
  • Pages 448
  • Volumes 1
  • Language ENG
  • Publisher Wiley
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index
  • Bookseller's Inventory # GOR014856725
  • ISBN 9781119931386 / 111993138X
  • Weight 1.75 lbs (0.79 kg)
  • Dimensions 9.2 x 7.3 x 0.8 in (23.37 x 18.54 x 2.03 cm)
  • Category Computers - Data Base Management
  • Library of Congress subjects Data mining, Information visualization
  • Dewey Decimal Code 006.312
  • Quantity available 2

About World of Books Ltd West Sussex, United Kingdom

Biblio member since 2007

In 2002, World of Books was founded on an ethos to do good, protect the planet, and support charities by enabling more goods to be reused. Since then, we've grown into a global pioneer, dedicated to helping people read more and waste less. Through the World of Books brand, customers can now buy and sell with us! We provide affordable, preloved books to book lovers all around the world, while also giving people the opportunity to contribute to the circular economy, earn money and protect the planet by trading in their unwanted books and media for cash. Through the B2B side of our business we've developed technology to help charities sell in bulk, meaning they can clear much needed floor space and make money for great causes at the same time. A new book will be sold once but their stories can be enjoyed by more than one owner. After all, a story doesn't change because it's been read before!

Terms of Sale:

If you are not completely satisfied with your purchase for any reason, simply email customerservice@worldofbooks.com and we will quickly resolve any issues you may have. If you have any other queries about your order, please email customerservice@worldofbooks.com. Our goal is to deliver to our customers the best possible service and we hope your experience of dealing with us lives up to our promise. If for whatever reason we fail to meet your expectations then please let us know.

Browse books from World of Books Ltd

Reader reviews for Data Smart: Using Data Science to Transform Information into Insight

From the publisher

Want to jump into data science but don't know where to start?

Let's be real, data science is presented as something mystical and unattainable without the most powerful software, hardware, and data expertise. Real data science isn't about technology. It's about how you approach the problem.

In this updated edition of Data Smart: Using Data Science to Transform Information into Insight, award-winning data scientist and bestselling author Jordan Goldmeier shows you how to implement data science problems using Excel while exposing how things work behind the scenes.

Data Smart is your field guide to building statistics, machine learning, and powerful artificial intelligence concepts right inside your spreadsheet.

Inside you'll find:

  • Four-color data visualizations that highlight and illustrate the concepts discussed in the book
  • Tutorials explaining complicated data science using just Microsoft Excel
  • How to take what you've learned and apply it to everyday problems at work and life
  • Advice for using formulas, Power Query, and some of Excel's latest features to solve tough data problems
  • Smart data science solutions for common business challenges
  • Explanations of what algorithms do, how they work, and what you can tweak to take your Excel skills to the next level

Data Smart is a must-read for students, analysts, and managers ready to become data science savvy and share their findings with the world.

From the rear cover

Jordan breaks down advanced concepts with an infectious simplicity that has become his signature style.

"Through the data-driven AI hype, Data Smart injects clarity into the discussion with fresh, compelling examples. This is an indispensable guide to becoming truly data smart. The second edition continues the mission of the first--to be a beacon of clarity against the clamor of data science hysteria. Ready to usher in a new generation of analysts, this is your ticket to becoming truly data smart."
--Alex Gutman, PhD, Director of Data Science, Author of Becoming a Data Head

An absolute gem.
"Data Smart solidifies Excel's enduring relevance in the age of AI. Analysts who embrace its full potential will continue to thrive."
--George Mount, Excel MVP, Founder at Stringfest Analytics, Author of Advancing into Analytics

Most people are approaching data all wrong. Here's how to do it right.

In the era of AI, data scientists appear as mystical practitioners of magical arts. But I'm here to tell you: Data science is something you can do. Really. This book shows you the significant data science techniques, how they work, how to use them, and how they benefit your business, large or small. It's about turning raw data into insight you can act upon and doing it as quickly and painlessly as possible.

Roll up your sleeves and let's get going.

Relax -- it's just Excel

In this newly revised edition featuring four-color visualizations, you'll learn about

  • Cutting-edge Excel tools Power Query and new functions like XLOOKUP, LET and LAMBDA
  • Creating artificial intelligence using linear models, ensemble methods, and nave Bayes
  • Mathematical optimization, including non-linear programming and genetic algorithms
  • Prediction with time-series data and forecasting with exponential smoothing
  • Clustering with k-means, spherical k-means, and graph modularity
  • Quantifying and addressing risk with Monte Carlo simulation
  • Detecting outliers in single or multiple dimensions
  • Statistical programming with R

About the author

JORDAN GOLDMEIER is an award-winning author in analytics, data science, and data visualization, and 11-time Microsoft MVP winner. Jordan has served analytics solutions for global organizations like NATO, The World Bank and Habitat for Humanity, and Fortune 500 companies likes Principal Financial and H&M. He has taught as an instructor for Wake Forest University, and served as a volunteer Emergency Medical Technician in New York City.

tracking-