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Отзывы учащихся о курсе Spatial Data Science and Applications от партнера Университет Ёнсе

Оценки: 398
Рецензии: 132

О курсе

Spatial (map) is considered as a core infrastructure of modern IT world, which is substantiated by business transactions of major IT companies such as Apple, Google, Microsoft, Amazon, Intel, and Uber, and even motor companies such as Audi, BMW, and Mercedes. Consequently, they are bound to hire more and more spatial data scientists. Based on such business trend, this course is designed to present a firm understanding of spatial data science to the learners, who would have a basic knowledge of data science and data analysis, and eventually to make their expertise differentiated from other nominal data scientists and data analysts. Additionally, this course could make learners realize the value of spatial big data and the power of open source software's to deal with spatial data science problems. This course will start with defining spatial data science and answering why spatial is special from three different perspectives - business, technology, and data in the first week. In the second week, four disciplines related to spatial data science - GIS, DBMS, Data Analytics, and Big Data Systems, and the related open source software's - QGIS, PostgreSQL, PostGIS, R, and Hadoop tools are introduced together. During the third, fourth, and fifth weeks, you will learn the four disciplines one by one from the principle to applications. In the final week, five real world problems and the corresponding solutions are presented with step-by-step procedures in environment of open source software's....

Лучшие рецензии

13 авг. 2018 г.

Great course. It helps I have a background in both Data Science and Geographic Information Science, but still found it equally interesting and challenging! I would highly recommend this course.

4 июля 2019 г.

very insightful and impacting session laced with applicable examples and contemporary issues. Thank you coursera. Thank you Yonsei University.

Фильтр по:

101–125 из 130 отзывов о курсе Spatial Data Science and Applications

автор: Irfan Z I

1 июля 2020 г.

it has theory that we cant have from another GIS course, but it lack of practice in using aplication

автор: Aric W

11 мар. 2018 г.

It would be better with more applications cases and exercices. But really interesting nonetheless.

автор: Edward D P

1 сент. 2020 г.

This course did a very good job of describing the scope and nature of spatial data science.

автор: Adriana G C

27 мая 2021 г.

excellent course, provides basic concepts between GIS and spatial analytics

автор: Kiran V

17 дек. 2018 г.

No hands on experience on GIS tools rather than that content was superb.

автор: Pirovich N M

24 нояб. 2019 г.

This course was really hard to me but sometimes I enjoyed it.

автор: Artful D

19 мар. 2018 г.

eye opening, with relevant and practical knowledge.

автор: Irina R

30 окт. 2019 г.

clear presentations and good examples

автор: Prudence L

25 мар. 2019 г.

Great teaching, great example cases.

автор: Ahmed L

14 апр. 2019 г.

Good lead to Spatial Data Science

автор: michael f

24 авг. 2018 г.

Good to understand the concepts

автор: Michael A

25 авг. 2020 г.

Great course!

автор: Pinyo K

23 июля 2020 г.

Good lecture

автор: Muhammad F K

9 июля 2020 г.


автор: Carlos L M C

23 нояб. 2019 г.


автор: Edgar L D F

6 янв. 2021 г.

The course brings an introduction to Spatial Data Science with definitions and presentations of methods for solving problems. Nevertheless, it would be better if it may present the concrete step by step applications of those methods to simpler problems. I learned a lot, and as usual, I realized that I need to learn more and more. Thanks a lot Prof Heo, Yonsei University and Coursera.

автор: Andrew S

10 мар. 2021 г.

Teaches some good concepts, but does not show full workflows (no opportunity to replicate/ follow along). R code was mentioned, but not shown. :( Has numerous grammatical and spelling errors which could have been prevented with simple spelling & grammar checks in Microsoft Word.

автор: Muhammad A N

26 авг. 2020 г.

The topics covered in this course are very complex and interesting. Several open-source software were introduced yet there is no hands-on training. Overall, this course is good to give students an understanding of spatial data science.

автор: Jairo d S F J

20 сент. 2020 г.

The course scratches all the areas of Spatial Data Science, overviewing techniques and use cases. Don't expect to learn the tools. Even though it explain the foundations of some tools, it won't teach you how to use them.

автор: Abhishek W

9 апр. 2020 г.

Course contents are very relevant to the industry, but the course lack in hands-on tutorials of various spatial data science tools. The tutor should himself go through the tools for the students during the course.

автор: Sristi S

4 мар. 2020 г.

The course was quite good for getting the introductory knowledge about spatial data science and its related domain . However, it lacks some practicals work to be done by the enroller itself. Thanks

автор: FORSI N B

11 апр. 2020 г.

Rich course. However, i expected to see more. I expected to learn how to better manipulate QGIS but the course is entirely theoretical

автор: Milan B

15 янв. 2020 г.

Good high level overview of spatial data science but the course would have been much better with a hand-on instruction!

автор: Uday P S B

22 апр. 2020 г.

Very Informative but lacks hands-on practice or assignments

автор: Adiwan A

8 нояб. 2020 г.

Need hands-on to use the software