Data Smart: Using Data Science to Transform Information into Insight 2nd Edition
by: Jordan Goldmeier (Author)
Publisher finelybook 出版社: Wiley; 2nd edition (November 7, 2023)
Language 语言: English
Print Length 页数: 448 pages
ISBN-10: 111993138X
ISBN-13: 9781119931386
Book Description
By finelybook
A straightforward and engaging approach to data science that skips the jargon and focuses on the essentials
In the newly revised second edition of Data Smart: Using Data Science to Transform Information into Insight, accomplished data scientist and speaker Jordan Goldmeier delivers an approachable and conversational approach to data science using Microsoft Excel’s easily understood features. The author also walks readers through the fundamentals of statistics, machine learning and powerful artificial intelligence concepts, focusing on how to learn by doing.
You’ll also 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
A must-read guide to data science for every day, non-technical professionals, Data Smart will earn a place on the bookshelves of students, analysts, data-driven managers, marketers, consultants, business intelligence analysts, demand forecasters, and revenue managers.
From the Back 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 abolsolute 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 naïve 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. Amazon page
