Skip to product information
1 of 1

Goldmeier Jordan (Wake Forest University)

Goldmeier Jordan (Wake Forest University) - Data Smart Using Data Science To Transform Information Into Insight - Paperback

Goldmeier Jordan (Wake Forest University) - Data Smart Using Data Science To Transform Information Into Insight - Paperback

Books

Regular price $36.09 USD
Regular price Sale price $36.09 USD
Sale Sold out
Shipping calculated at checkout.
Binding: Paperback
Description: 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.
Title: Data Smart Using Data Science To Transform Information Into Insight
Author(s): Goldmeier Jordan (Wake Forest University)
Publisher: John Wiley & Sons Inc
Barcode: 9781119931386
Pages: 448 Pages
Publication Date: 11/7/2023
Category: Data Warehousing
View full details