Microsoft Excel MVP Conrad Carlberg shows readers 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.
Readers will get an extensive collection of downloadable Excel workbooks that can be easily adapted to their own unique requirements, plus VBA code—much of it open-source—to streamline several of this book’s most complex techniques.
Step by step, readers build on Excel skills they already have, learning advanced techniques that can help them increase revenue, reduce costs, and improve productivity.
The full text downloaded to your computer
With eBooks you can:
- search for key concepts, words and phrases
- make highlights and notes as you study
- share your notes with friends
eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps.
Upon purchase, you'll gain instant access to this eBook.
Time limit
The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.
Table of Contents:
- 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
About the Author :
Conrad Carlberg is a nationally recognised expert on quantitative analysis and on data analysis and management applications such as Microsoft Excel, SAS, and Oracle. He holds a Ph.D. in statistics from the University of Colorado and is a many-time recipient of Microsoft’s Excel MVP designation.
Carlberg is a Southern California native. After college he moved to Colorado, where he worked for a succession of startups and attended graduate school. He spent two years in the Middle East, teaching computer science and dodging surly camels. After finishing graduate school, Carlberg worked at US West (a Baby Bell) in product management and at Motorola.
In 1995, he started a small consulting business that provides design and analysis services to companies that want to guide their business decisions by means of quantitative analysis—approaches that today we group under the term “analytics.” He enjoys writing about those techniques and, in particular, how to carry them out using the world’s most popular numeric analysis application, Microsoft Excel.
