- Level Professional
- المدة
- الطبع بواسطة University of Colorado Boulder
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Offered by
عن
Data analysis skills are widely sought by employers, both nationally and internationally. 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. 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. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.Auto Summary
Elevate your data analysis skills with "Data Science Methods for Quality Improvement," a professional-level course offered by Coursera. Ideal for those in IT and Computer Science, this specialization focuses on improving business performance, quality, and reliability through data analysis. Gain expertise in RStudio and RMarkdown, and enhance your ability to interpret data. This course is part of CU Boulder’s MS-DS degree, featuring interdisciplinary faculty and performance-based admissions. Available subscriptions include Starter and Professional, making it accessible for various learning needs. Perfect for aspiring data analysts and professionals aiming to enhance their data-driven decision-making skills.

Instructor
Wendy Martin