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Learner Reviews & Feedback for Data Science as a Field by University of Colorado Boulder

4.4
stars
19 ratings

About the Course

This course provides a general introduction to the field of Data Science. It has been designed for aspiring data scientists, content experts who work with data scientists, or anyone interested in learning about what Data Science is and what it’s used for. Weekly topics include an overview of the skills needed to be a data scientist; the process and pitfalls involved in data science; and the practice of data science in the professional and academic world. This course is part of CU Boulder’s Master’s of Science in Data Science and was collaboratively designed by both academics and industry professionals to provide learners with an insider’s perspective on this exciting, evolving, and increasingly vital discipline. Data Science as a Field 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....

Top reviews

MM

Jun 2, 2021

A great introduction to Data Science, with plenty of practical assignments that are flexible enough to explore our own questions of interest.

AH

Jun 13, 2021

Exercises and lectures were hands-on and informative. I enjoyed the practical advice on data science as a profession.

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1 - 10 of 10 Reviews for Data Science as a Field

By Kashan A

Dec 9, 2021

It looked easy, but it isn't easy for anyone who is new to R programming or programming in general. If one is taking this course as part of an MSDS Degree, please familiarize yourself with some R programming before working on projects.

By Luis E V

May 1, 2022

The class fails to teach most of what it asks for the assignments. In the requirements, only a basic understanding of R was noted, while in reality most of the assignments require you to have an, at least, intermediate understanding of R and how different R libraries work. What's worst is that none is this is really taught, but really it just feels as a very shallow, incomplete, guidethrough of 10% of the whole process. Would not recommend this course for someone who is not following the MSDS degree. You will not learn anything other than opening an R markdown.

By Martin

Jun 3, 2021

A great introduction to Data Science, with plenty of practical assignments that are flexible enough to explore our own questions of interest.

By Aaron H

Jun 14, 2021

Exercises and lectures were hands-on and informative. I enjoyed the practical advice on data science as a profession.

By Michelle W

Jun 26, 2021

Very practical overview of the field. Does require knowledge of R to do 2 simple projects if you take it for credit.

By Ran B R

Jun 7, 2021

Good course, with broad overview and several specific discussions from people working in the field. My only issue is that week 3 seems to assume prior experience with R; just a little bit more support ("go here to install R", "here's a quick tutorial on tidyverse") would make it much easier to reach the level necessary for understanding the lectures and project.

By Xiaowen X

Aug 16, 2021

Good course for exercise R programming, data analysis and communication skills.

By Parul K

Nov 20, 2021

got good knowledge of R

By Danish S

Nov 20, 2022

Weldon good very good

By Madeleine W

Oct 20, 2022

Parts of this course were useful to get an idea of what to expect from a career in data science- particularly the interviews with data science professionals.

However, for whatever reason it's difficult to actually get assignments graded (and therefore complete the course) and the final assignment involves uploading a video of yourself speaking - I have no interest in having a video of myself floating around this website.