Ementorhub

What you'll learn

Understand how to use, select, and interpret process control charts to identify special causes of variation

Create and interpret control charts for normal and non-normal distributions

Create and interpret control charts for discrete data

Analyze the capability of a process to meet customer specifications

Skills you'll gain

Statistical Analysis

Data Transformation

Data Analysis Software

Process Improvement

Process Capability

Statistical Process Controls

Process Analysis

Statistical Methods

Quality Control

Statistical Hypothesis Testing

R Programming

Probability Distribution

There are 5 modules in this course

This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.

Xbar and R / Xbar and S Charts / X and MR Charts

X and Moving Range Charts for Non-Normally Distributed Data

Process Capability

Control Charts for Discrete Data