Forecasting Analytics! Learn about popular forecasting methods and how to implement them in practice through a hands-on online course. I'll be instructing a 4-week Forecasting course on statistics.com. This is a practical course that introduces forecasting methods, performance evaluation, and much more. The course is of interest to practitioners in business, environmental sciences, agriculture, tourism and more. It is also useful for instructors developing a new forecasting analytics course. The text for the course is my recent book Practical Time Series Forecasting: A Hands-On Guide.
February 5, 2012
Practical Risk Analysis for Project Planning now available in ebook edition
The ebook edition of Practical Risk Analysis for Project Planning: A Hands-On Guide using Excel is now available internationally on Amazon.com for US$4.95. The book can be viewed on any Kindle device, as well as on multiple platforms (PC, iPhone, iPad, Android devices etc) using free Kindle applications.
December 28, 2011
eBook edition of Practical Time Series Forecasting (2nd ed) now available
The Kindle eBook edition is now available on Amazon.com for $4.95.The eBook version can be viewed on any PC, on Kindle devices and many other devices. This edition is very affordable and easily available around the world (no shipping time needed!)
December 9, 2011
New and Improved: 2nd edition of Practical Time Series Forecasting now published
Following feedback from readers and colleagues, I created an extensively revised edition of Practical Time Series Forecasting: A Hands-On Guide. The 2nd edition is now available in soft cover, and the plan is to release a Kindle eBook edition in the near future. The new book (202 pages) features many new chapters and topics, an improved organization, more chapter exercises and new cases. Like the previous edition, it is cheap ($25) and hands-on.
November 20, 2011
"Internet Data Collection for Research" now publicly available
To benefit researchers who collect data from the web, or using Web technologies, I decided to make public all my materials from a PhD-level course on "Internet Data Collection for Research" (offered at UMD as "Scientific Data Collection for Business"). These can be found at https://sites.google.com/site/internetdatacollection/
The site contains all presentations, resources, and even weekly assignments. I hope that democratizing more knowledge will help improve business-related research.
Prof. Galit Shmueli, Institute of Service Science, College of Technology Management, National Tsing Hua University, 101 Kuang Fu Road Sec. 2, Hsinchu 30013 Taiwan
