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.
MW
The instructor is clear and easy to follow. The lessons are succinct. It helps to be familiar with the topics already.
ZL
Good case study for the proactice of the SPC with the R programing! It is quite challendge but happy to pass the course finally!
BL
This is the course you can actually master the content in the course
BT
We learned some theory and practiced in R. A perfect combination!
Showing: 10 of 10
The instructor is clear and easy to follow. The lessons are succinct. It helps to be familiar with the topics already.
I liked the course. I just feel that more examples similar to those presented in the exams are needed.
We learned some theory and practiced in R. A perfect combination!
Wishing the 3 courses to be one of the elective courses for the MEM besides the master of data science!!!
The data science for quality improvement specification is the right one for me.
It is quite challenging but I finally achieved it. The course is very practical with good case studies and exercises, the R is an enhancement tool for my professional job as a black belt of six sigma.
Thanks to Professor Martin for the great support to answer the questions while got problems with the r programming.
This is the best course offered through the MS-DS program at CU.
The lectures are concise and informative. The assessments are challenging but fair. Professor Martin is fantastic - she's very active on the platform and goes out of her way to help students understand the concepts. I highly recommend this class.
Buen curso. Las explicaciones teóricas son directas y están bien ejemplificadas. Además, yo nunca había trabajo con el lenguaje R ni RStudio, y considero que en el curso aprendí sobre ello de manera satisfactoria.
This is the course you can actually master the content in the course
What a great course!
Great
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