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

4.3
stars
28 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 - 14 of 14 Reviews for Data Science as a Field

By Kashan A

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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

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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 Madeleine W

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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.

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

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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 Lucas I d A

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Apr 13, 2023

In my opinion the course is a little bit desorganize. The first modules consist of only videos about Data Science and then the 3rd starts with downloading Rstudio and making a data analysis in R. I thought that was a big jump and I felt a bit lost at first. Also, on peer-to-peer review, I reviewed a work from 2 years ago, that was a bit scary haha but overall it's great introdutory course on Data Science.

By Ran B R

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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 Joseph H

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Sep 9, 2023

While the content of this course is interesting, it feels a bit disorganized. It starts strong with real world examples and professionals from companies as well-known as Google. But, it then divulges into using R to read in data, clean it and create R markdown documents for analysis. This was a fun project, but the instructor does not really teach anything here. They just use an example that is not related to the data in the project, and then they just copy and paste some R commands into the console. I had to use YouTube tutorials for pretty much all of it because there just isn't any actual teaching going on.

By RAJESH K

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Feb 29, 2024

Thanks a bunch, to Dr Jane Wall! I sincerely appreciate it. I am now equipped with valuable tools that will help me in my Data science career path. I really-really enjoyed this course. The in-depth analysis that we will be doing in Data Science will impact the world, hence, it is important to internalize all the concepts in this course. By applying the learnings from this course to the covid-19 and NYPD shootings case studies, I understood the value of preparing a good report that will help the key Organizations.

By Kodai F

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Aug 8, 2023

A detailed, step-by-step explanation of what is useful in data science practice.

By Xiaowen X

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Aug 16, 2021

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

By Parul K

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Nov 20, 2021

got good knowledge of R

By Danish S

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Nov 20, 2022

Weldon good very good