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

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Data Science Methods for Quality Improvement Specialization
 at 
Coursera 
Overview

Duration

4 months

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Total fee

Free

Mode of learning

Online

Official Website

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Credential

Certificate

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

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

Data Science Methods for Quality Improvement Specialization
 at 
Coursera 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

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    Data Science Methods for Quality Improvement Specialization
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