This is a course to demonstrate how to use a front-end statistical web app for producing automated time series forecasts along with statistical output. Forecasting techniques are widely used across many industries for areas such as demand planning, inventory scheduling, operations management, and stock market analysis among many others. Therefore, an app provides an excellent platform for those who want to create automated optimized time series forecasts along with downloadable data and reports. This way, they can directly incorporate the data and reports into their business system without the tedious work of copy-and-paste. In this course, the student will learn:
The student will be presented with demos of the app using real world data examples.
I began my analytical journey studying Biostatistics at the University of Arkansas for Medical Sciences in Little Rock, Arkansas while obtaining my Masters in Public Health. Upon completing this degree, my desire to take my statistical knowledge to the next level led me to complete a Masters in Business Analytics at the University of Tennessee in Knoxville. While doing this coursework, I worked as a half-time statistical consultant for statistics authority Bob Muenchen for the UT Office of Information Technology Research & Computing Support Group. I have lived and worked in China, and explored Southeast Asia seeking new opportunities and exploring different cultures.