Business Value Stats Analysis — As the second course in the Supply Chain Analytics Professional Certificate program, you’ll learn to leverage technology to develop effective Key Performance Indicators and to apply statistics to understand and forecast data. Emphasizing identifying the links between operational and business performance metrics, you’ll also learn several statistical concepts (e.g. variance analysis, hypothesis testing, forecasting methods), along with the use of statistical methods in inventory management. The course culminates in the use of the fictional Cardboard Company case where you’ll apply your new skills by building visual dashboards, conducting demand and service profiling, undertaking root cause analysis, and using time series forecasting in inventory management – all enabled by Power BI and Python. By the end of the course, you’ll know how to perform leading edge analytics projects to address the full complexity of your organization’s supply chains. While you are not required to complete the Transforming Supply Chain Management and Performance Analysis, Creating Business Value with Statistical Analysis, and Machine Learning Applications for Supply Chain Planning courses prior to this capstone, we suggest you being familiar with their learning outcomes. Recommended Prerequisites: General supply chain management knowledge LOG 3250P - Transforming Supply Chain Management and Performance Required Prerequisites: Elementary knowledge of statistics and data analysis Basic coding skills Experience using Python and Power BI
No prereqs
Taught by nobody this semester.