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Avis et commentaires pour l'étudiant pour Spatial Data Science and Applications par Université Yonsei

4.4
130 notes
42 avis

À propos du cours

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....

Meilleurs avis

MW

Aug 14, 2018

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.

IE

Jul 05, 2019

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

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1 - 25 sur 41 Examens pour Spatial Data Science and Applications

par CHESSEL P

Jul 16, 2019

The course presents a good overview of Data Science techniques applied to Spatial Data topics. It is very compact and exhaustive. Mostly theorethical.

I think a second part of this course should be created with in-depth coverage with practical exercises (e.g setting up a hadoop system with MapReduce, pig, Hive).

This way, students could learn a lot more than by simply watching the videos offered. Further, please provide the well designed slides for download.

par Rustom S S

Apr 08, 2018

Very boring and no hands on content.

par Mumtaz A

Feb 05, 2019

very nice and easy to understanding lesson.

par Rodrigo V

Nov 24, 2018

This course was very comprehensive, explanatory and introduced me to some complex applications of spatial data science.

I found the practical problem applications of the last week most useful to integrate the concepts. I think having some similar problems as homework assignments throughout the course could also be very helpful.

par Sergiy S

Jan 19, 2019

Nice course! But need more practice, something like project-oriented course/

par Aleksandar M

Feb 10, 2019

Good course that gives quality review on what spatial data science is and what can you do with it. It doesn't teach you how to use programs, rather gives you instructions what programs you should learn and powers of each program.

par Camilo A P

Dec 02, 2018

Muy buen curso. Muy completo. Lo recomiendo mucho.

par Michael B W

Aug 14, 2018

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.

par Johans A A

Oct 12, 2018

An excellent course, it was an introduction to spatial data science and all techniques that we might apply for different solutions. This course gave us a valuable idea of spatial data science and the importance of the 4 main disciplines of this exciting field. Thanks a lot!

par Rajeev K

Sep 26, 2018

Course is amazing.

par Rolando N F V

Oct 03, 2018

Very good course, especially regarding spatial database, because my knowledge was limited only to a spatial analysis.

par sushmita g

Oct 04, 2018

.

par Yeosan Y

Mar 14, 2018

Thanks for your wonderful lecture! :)

It really helped me to understand Spatial Data processing.

par Sungha J

May 11, 2018

Gooooooooooooooooooooooooooooooood

par Daniel L

Apr 04, 2018

This was an excellent course. I honestly thought I had pretty good handle on this topic, but I learned a lot of new concepts and applications and deepened my existing knowledge base. Furthermore, I really enjoyed the real world examples in the last section. In particular, the military infiltration example was very interesting. Thank you!

par Bernard D W J

Feb 15, 2018

The most comprehensive introductory cause in Geo-spatial Data science . I love it.

par Sangyoon P

Mar 19, 2018

Unbelievable course for Spatial data science

par Alejandro R

Jul 02, 2018

Excelent!! It could be an specialization of Spatial Data Science!!

par Priyanka C

Oct 24, 2018

Awesome

par Akella V A K

Mar 26, 2019

Great course. Thanks Prof Joon Heo.

par Muhammad U

Jun 12, 2019

Very informative course indeed. Thank you

par Imoh E

Jul 05, 2019

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

par Alicia A G d m

Jul 15, 2019

Practical, updated and well explained

par Rudy M P

Aug 05, 2019

The class struck a great balance between technology, science and business, which really helped me find my way through GIS. I need to praise the teacher for the structure of the class and for his diagrams: the clearly conveyed a conveyed the his experience and mastery of the topic.

par Kiran V

Dec 17, 2018

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