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Avis et commentaires pour d'étudiants pour Spatial Data Science and Applications par Université Yonsei

178 évaluations
59 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


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.


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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26 - 50 sur 59 Avis pour Spatial Data Science and Applications

par Alejandro R

Jul 02, 2018

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

par Camilo A P

Dec 02, 2018

Muy buen curso. Muy completo. Lo recomiendo mucho.

par Sangyoon P

Mar 19, 2018

Unbelievable course for Spatial data science

par Mumtaz A

Feb 05, 2019

very nice and easy to understanding lesson.

par Muhammad U

Jun 12, 2019

Very informative course indeed. Thank you

par Pável I S C

Dec 10, 2019

¡Un curso muy didáctico y recomendable!

par Jani P

Aug 19, 2019

Great value for the beginner like me!

par Alicia A G d m

Jul 15, 2019

Practical, updated and well explained

par Akella V A K

Mar 26, 2019

Great course. Thanks Prof Joon Heo.

par Sungha J

May 11, 2018


par Rajeev K

Sep 26, 2018

Course is amazing.

par Alfredo A

Sep 29, 2019

Excellent course

par Felipe d J C H

Sep 06, 2019


par Priyanka C

Oct 24, 2018


par sushmita g

Oct 04, 2018


par Daniel M

Mar 04, 2018

The course offers a good overview and is very compact. I would have loved a more in-depth coverage with practical exercises (e.g setting up a hadoop system with MapReduce, pig, Hive). This way, I could have learned a lot more than by simply watching the videos offered. Further, please provide the well designed slides for download. I already posted this request in the course forum, but the forum doesn't seem to be used (no answers at all).

par Vignesh T

Jun 12, 2019

This course is an fantastic introduction on Spatial Big Data Management and Analytics. It had given me a strong understanding of the various opensource tools and concepts for spatial data science. I would strongly recommend others to undergo the course as an Introduction to spatial data science and applications. However, one has to learn many other programming languages such as Hive, Pig and Sqoop to master spatial big data.

par AMAN T

Apr 06, 2020

Practical and hands-on exercises should be included to get a close feel of the subject. Only theoretical knowledge gets monotonous. Some topics were well touched upon however, some external resources like books or other courses related to subject would have been very helpful. The youtube links were helpful though.

par Nils K

Oct 30, 2018

Good quick overview of the discipline. No practical tests. As such I could complete the course in 2 1/2 days. Given the extent of the whole discipline, it is probably impossible to present this in one course. Maybe would need a specialisation. But good info to get you started on filling possible knowledge gaps.

par Marino M

Jul 11, 2019

El curso presenta muchos conceptos teóricos interesantes que abren todo un campo nuevo de aprendizaje, los ejemplos de aplicación son buenos pero podrían profundizar mejor en los ejemplos.

par Guillaume R

Jun 05, 2018

Really interesting course, well structured. Including practical work ( setting up the tools, writing code or conducting some analysis) would have made of it the best MOOC ever made.

par Aric W

Mar 11, 2018

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

par Kiran V

Dec 17, 2018

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

par Pirovich N M

Nov 24, 2019

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

par Arnold k R

Mar 19, 2018

eye opening, with relevant and practical knowledge.