Who should attend
This course is designed for experienced business professionals who perform (or want to perform) data analyses of any form in the area of supply chain, and who seek to get more from their supply chain data. The course will benefit learners who want additional tools and who want to become a change agent that tackles strategic supply chain goals.
About the course
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.
What You Will Learn
- Critical thinking skills for business
- Fundamental statistical techniques and concepts to analyze data
- How to test alternative inventory policies and improve inventory management performance
- Statistical concepts
- How to use Python and Power BI to apply statistical techniques
- How to develop supply chain performance dashboards
- Time series forecasting for inventory management
- Supply chain professionals collaborating in warehouse
How You Will Benefit
- Align supply chain strategy with business strategy.
- Understand inventory management models.
- Apply statistics techniques to inventory management.
- Understand the effects different inventory policies have on performance metrics.
- Apply statistical concepts, such as variance analysis, hypotheses testing, expected demand, and simple forecasting techniques.
Mr. Brown has over 30 years of experience in supply chain management operations and services as an operations manager, consultant, educator, and executive recruiter. Tim was appointed as Managing Director in the Georgia Tech Supply Chain & Logistics Institute (SCL). SCL is a unit of Georgia ...
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Because of COVID-19, many providers are cancelling or postponing in-person programs or providing online participation options.
We are happy to help you find a suitable online alternative.