Data Science Methods for Quality Improvement Coursera

Overview

Data analysis skills are widely sought by employers, both nationally and internationally. This Data Science Methods for Quality Improvement Specialization offered by Coursera in partnership with University of Colorado Boulder 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. 

Key facts

• Learners are encouraged to complete this specialization in the order the courses are presented.

• 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.

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