University of Colorado Boulder
Data Science Methods for Quality Improvement Specialization
University of Colorado Boulder

Data Science Methods for Quality Improvement Specialization

Launch your career in data science.. Master strategies in data science methods for quality improvement.

Taught in English

Some content may not be translated

Wendy Martin

Instructor: Wendy Martin

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Specialization - 3 course series

Get in-depth knowledge of a subject

4.8

(13 reviews)

Intermediate level

Recommended experience

1 month at 10 hours a week
Flexible schedule
Learn at your own pace
Progress towards a degree

What you'll learn

  • Manage, describe, and analyze data using applied statistics

  • Apply continuous and/or discrete data methods for process analysis, improvement, and ongoing management in a business or workplace

  • Analyze measurement systems to ensure their stability and capability

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Specialization - 3 course series

Get in-depth knowledge of a subject

4.8

(13 reviews)

Intermediate level

Recommended experience

1 month at 10 hours a week
Flexible schedule
Learn at your own pace
Progress towards a degree

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  • Develop a deep understanding of key concepts
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Specialization - 3 course series

Managing, Describing, and Analyzing Data

Course 117 hours4.6 (27 ratings)

What you'll learn

  • Calculate descriptive statistics and create graphical representations using R software

  • Solve problems and make decisions using probability distributions

  • Explore the basics of sampling and sampling distributions with respect to statistical inference

  • Classify types of data with scales of measurement

Skills you'll gain

Category: analyzing data
Category: describing data
Category: graphing data
Category: using R

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

Category: Make decisions about process improvement
Category: Analyzing a process for stability
Category: R Programming
Category: Rstudio
Category: Analyzing a process for capability

Measurement Systems Analysis

Course 316 hours

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

Category: Use RMarkdown to create a report
Category: Analyze a continuous measurement system for sources of variation capability
Category: Analyze a discrete measurement system for validity and agreement
Category: Make decisions about measurement systems acceptability

Instructor

Wendy Martin
University of Colorado Boulder
6 Courses6,287 learners

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