Ementorhub

What you'll learn

Understand the terms and concepts associated with measurement systems analysis

Analyze measurement error to determine the potential capability of a measurement system

Analyze measurement error to determine the short-term and long-term capability of a measurement system

Analyze a measurement system for discrete data using potential, short-term, and long-term studies

Skills you'll gain

Box Plots

R Programming

Scatter Plots

Systems Of Measurement

Run Chart

Statistical Methods

Statistical Visualization

Data Analysis

Scientific Visualization

Statistical Hypothesis Testing

Regression Analysis

Data Visualization

Statistical Analysis

Systems Analysis

Process Capability

Correlation Analysis

There are 5 modules in this course

This specialization 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.

The One Way Analysis of Variance (ANOVA) for Fixed and Random Effects

Introduction to Measurement Systems Analysis for Continuous Data, Potential Studies for Continuous Data

Short Term and Long Term Studies for Continuous Data

Measurement Systems Analysis for Discrete Data