Metrics and Data Processing
About the course:
The Metrics and Data Processing course will prepare students to be able to create new metrics that directly answer or monitor business questions. This module will also teach the theory and practice of statistical process control. Upon completion of this module, students will be equipped to help businesses monitor their processes and know when a process is out-of-control and needs to be fixed. Objectives: Explain how to use existing metrics to monitor business processes. Uncover metrics. Create new metrics. Explain the theory and rules of statistical process control (SPC)Explain the difference between control limits and spec limits, and how to fix both types of limit violations. Use capability indices. Use several of the most common types of control charts. Use various analytical tools included with the Pandas package for Python.