|Listed in category:
Have one to sell?

Predictive Analytics : Microsoft Excel 2016 by Conrad Carlberg (2017, Paperback)

Condition:
Brand New
Price:
US $25.00
ApproximatelyS$ 33.77
Postage:
US $4.99 (approx S$ 6.74) Economy Postage. See detailsfor shipping
Located in: Chicago, Illinois, United States
Delivery:
Estimated between Sat, 11 May and Thu, 16 May to 43230
Delivery time is estimated using our proprietary method which is based on the buyer's proximity to the item location, the postage service selected, the seller's postage history, and other factors. Delivery times may vary, especially during peak periods.
Coverage:
Read item description or contact seller for details. See all detailsSee all details on coverage
(Not eligible for eBay purchase protection programmes)

Seller information

Seller assumes all responsibility for this listing.
eBay item number:303422305995

Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
Topic
Microsoft
ISBN
9780789758354
Publication Year
2017
Type
Textbook
Format
Trade Paperback
Language
English
Publication Name
Predictive Analytics : Microsoft® Excel 2016
Item Height
1.1in
Author
Conrad Carlberg
Item Length
9.1in
Publisher
Pearson Education
Item Width
7in
Item Weight
20.8 Oz
Number of Pages
384 Pages

About this product

Product Information

EXCEL 2016 PREDICTIVE ANALYTICS FOR SERIOUS DATA CRUNCHERS Now, you can apply cutting-edge predictive analytics techniques to help your business win-and you don't need multimillion-dollar software to do it. All the tools you need are available in Microsoft Excel 2016, and all the knowledge and skills are right here, in this book Microsoft Excel MVP Conrad Carlberg shows you how to use Excel predictive analytics to solve real problems in areas ranging from sales and marketing to operations. Carlberg offers unprecedented insight into building powerful, credible, and reliable forecasts, helping you gain deep insights from Excel that would be difficult to uncover with costly tools such as SAS or SPSS. Fully updated for Excel 2016, this guide contains valuable new coverage of accounting for seasonality and managing complex consumer choice scenarios. Throughout, Carlberg provides downloadable Excel 2016 workbooks you can easily adapt to your own needs, plus VBA code-much of it open-source-to streamline especially complex techniques. Step by step, you'll build on Excel skills you already have, learning advanced techniques that can help you increase revenue, reduce costs, and improve productivity. By mastering predictive analytics, you'll gain a powerful competitive advantage for your company and yourself. Learn the "how" and "why" of using data to make better decisions, and choose the right technique for each problem Capture live real-time data from diverse sources, including third-party websites Use logistic regression to predict behaviors such as "will buy" versus "won't buy" Distinguish random data bounces from real, fundamental changes Forecast time series with smoothing and regression Account for trends and seasonality via Holt-Winters smoothing Prevent trends from running out of control over long time horizons Construct more accurate predictions by using Solver Manage large numbers of variables and unwieldy datasets with principal components analysis and Varimax factor rotation Apply ARIMA (Box-Jenkins) techniques to build better forecasts and clarify their meaning Handle complex consumer choice problems with advanced logistic regression Benchmark Excel results against R results

Product Identifiers

Publisher
Pearson Education
ISBN-10
0789758350
ISBN-13
9780789758354
eBay Product ID (ePID)
235717696

Product Key Features

Author
Conrad Carlberg
Publication Name
Predictive Analytics : Microsoft® Excel 2016
Format
Trade Paperback
Language
English
Publication Year
2017
Type
Textbook
Number of Pages
384 Pages

Dimensions

Item Length
9.1in
Item Height
1.1in
Item Width
7in
Item Weight
20.8 Oz

Additional Product Features

Lc Classification Number
Hd30.27.C37 2017
Edition Number
2
Table of Content
1 Building a Collector 2 Linear Regression 3 Forecasting with Moving Averages 4 Forecasting a Time Series: Smoothing 5 More Advanced Smoothing Models 6 Forecasting a Time Series: Regression 7 Logistic Regression: The Basics 8 Logistic Regression: Further Issues 9 Multinomial Logistic Regression 10 Principal Components Analysis 11 Box-Jenkins ARIMA Models 12 Varimax Factor Rotation in Excel
Copyright Date
2018
Target Audience
Scholarly & Professional
Topic
Desktop Applications / Spreadsheets, Statistics
Lccn
2017-941428
Illustrated
Yes
Genre
Computers, Business & Economics

Item description from the seller

hadha.us.gr94feghka

hadha.us.gr94feghka

100% positive feedback
11 items sold
Usually responds within 24 hours