SQC Online has been serving tens of thousands of users for over two decades. The website was created in the year 2000, as part of Professor Galit Shmueli's Ph.D. thesis on the theory of runs and scans. SQC Online's mission statement is to create a bridge between industry and academics, and provide free, accurate and accessible knowledge to the quality control community.From its modest beginning years ago, SQC Online has expanded in capabilities and grown to a website serving thousands of practitioners across multiple industries and continents, be it humble mom-and-pop operations or Fortune 500 companies.
Since its inception, more than 5,000,000 sampling plans have been served to customers.
If you have any questions, don't hesitate to contact us.
Galit Shmueli, PhD
Founder and Chief Statistician
Galit Shmueli is Distinguished Professor at the Institute of Service Science, National Tsing Hua University, Taiwan. She is also a visiting scholar at Academia Sinica's Institute of Statistical Science. Between 2011-2014 she was the SRITNE Chaired Professor of Data Analytics and Associate Professor of Statistics & Information Systems at the Indian School of Business. She is best known for her research and teaching in business analytics, with a focus on statistical and data mining methods for contemporary data and applications in information systems and healthcare.
Dr. Shmueli's research has been published in the statistics, management, information systems, and marketing literature. She authored/co-authored over ninety journal articles, books, textbooks and book chapters, including the popular textbook Data Mining for Business Intelligence and Practical Time Series Forecasting. Dr. Shmueli is an award-winning teacher and speaker on data analytics.
She has taught at Carnegie Mellon University, University of Maryland, the Israel Institute of Technology, Statistics.com and the Indian School of Business. Her experience spans business and engineering students and professionals, both online and on-ground. Dr. Shmueli teaches courses on data mining, statistics, forecasting, data visualization, and industrial statistics.
For more information, visit www.galitshmueli.com