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

  • Offered byCoursera
  • Public/Government Institute

Data Science Methods for Quality Improvement Specialization
 at 
Coursera 
Overview

Duration

4 months

Total fee

Free

Mode of learning

Online

Official Website

Explore Free Course External Link Icon

Credential

Certificate

Data Science Methods for Quality Improvement Specialization
Table of contents
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Data Science Methods for Quality Improvement Specialization
 at 
Coursera 
Highlights

  • Earn a Certificate upon completio

    Skills -Data Science,Process Engineering,Data Analysis,Quality Improvement,Rstudio,analyzing data,describing data using R, graphing data
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Data Science Methods for Quality Improvement Specialization
 at 
Coursera 
Course details

Skills you will learn
OperationsData analysisData Science
More about this course
  • This specialization is ideal for anyone interested in data analysis for improving quality and processes in business and industry
  • The skills taught in this specialization have been used extensively to improve business performance, quality, and reliability
  • By completing this specialization, you will improve your ability to analyze data and interpret results as well as gain new skills, such as using RStudio and RMarkdown
  • Whether you are looking for a job in data analytics, operations, or just want to be able to do more with data, this specialization is a great way to get started in the field
  • 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
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Data Science Methods for Quality Improvement Specialization
 at 
Coursera 
Curriculum

Managing, Describing, and Analyzing Data

Stability and Capability in Quality Improvement

Measurement Systems Analysis

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Data Science Methods for Quality Improvement Specialization
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