Predictive Analytics: Microsoft Excel
Category: eBooks
- views: 1 925
- date: 4 October 2012
- posted by: pm1

Predictive Analytics: Microsoft Excel
July 2012 | ISBN: 0789749416 | PDF + EPUB | 304 pages | 12.2 + 36 MB
July 2012 | ISBN: 0789749416 | PDF + EPUB | 304 pages | 12.2 + 36 MB
Excel predictive analytics for serious data crunchers!
The movie Moneyball made predictive analytics famous: Now you can apply the same techniques to help your business win. You don't need multimillion-dollar software: All the tools you need are available in Microsoft Excel, 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-world problems in areas ranging from sales and marketing to operations. Carlberg offers unprecedented insight into building powerful, credible, and reliable forecasts, showing how to gain deep insights from Excel that would be difficult to uncover with costly tools such as SAS or SPSS.
You'll get an extensive collection of downloadable Excel workbooks you can easily adapt to your own unique requirements, plus VBA code–much of it open-source–to streamline several of this book’s most 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 both the "how" and "why" of using data to make better tactical decisions
Choose the right analytics technique for each problem
Use Excel to 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
Construct more accurate predictions by using Solver to find maximum likelihood estimates
Manage huge numbers of variables and enormous datasets with principal components analysis and Varimax factor rotation
Apply ARIMA (Box-Jenkins) techniques to build better forecasts and understand their meaning
We need your support!
Make a donation to help us stay online
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem
Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u
USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm
Related news:
Information |
|||
![]() |
Users of GUESTS are not allowed to comment this publication. |