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Вернуться к Data Science as a Field

Отзывы учащихся о курсе Data Science as a Field от партнера Колорадский университет в Боулдере

4.8
звезд
Оценки: 12
•
Рецензии: 7

О курсе

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....

Лучшие рецензии

MM
2 июня 2021 г.

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

AH
13 июня 2021 г.

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

Фильтр по:

1–7 из 7 отзывов о курсе Data Science as a Field

автор: Michelle W

•
26 июня 2021 г.

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

автор: Kashan A

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9 дек. 2021 г.

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.

автор: Martin

•
3 июня 2021 г.

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

автор: Aaron H

•
14 июня 2021 г.

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

автор: Xiaowen X

•
16 авг. 2021 г.

G​ood course for exercise R programming, data analysis and communication skills.

автор: Parul K

•
20 нояб. 2021 г.

got good knowledge of R

автор: Ran B R

•
7 июня 2021 г.

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.

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