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

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Predictive Analytics : Microsoft Excel by Conrad Carlberg.

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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

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Most relevant reviews

5 out of 5 stars
by hanierodneFeb 08, 2023
Good starting point for Quants
Great intro to using excel for forecasting. Just remember GIGO.
Verified purchase: Yes | Condition: Pre-owned
5 out of 5 stars
by comedynight6s14Apr 23, 2019
thank you for writing this
goes over some very important calculations including an especially long treatment of logistic regression
Verified purchase: Yes | Condition: New

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