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

4.4
étoiles
455 évaluations

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

13 août 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.

BC

5 août 2021

This is a great course for persons who have interacted with GIS before. It teaches you the underlying principle and science behind most of these QGIS processing algorithms

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par Jesús A

7 juin 2019

par Kumar R

27 juil. 2019

par rustom s

8 avr. 2018

par Zack D

8 juin 2018

par Julia H

17 avr. 2020

par CHESSEL P

16 juil. 2019

par Gopinath P

3 sept. 2019

par Tino K

3 févr. 2021

par Pankaj W

7 déc. 2019

par AMAN T

6 avr. 2020

par Michael B

10 juin 2018

par MONCADA S J F

18 juin 2020

par Keith P C L

15 sept. 2020

par Ahmed W M

2 mai 2020

par Daniel L

4 avr. 2018

par Stanislava G

6 août 2018

par Satish M

2 mars 2019

par Raffi I

13 août 2020

par Allyson D d L

17 oct. 2021

par Gabriel A F G

22 août 2020

par Gary C

20 mars 2022

par Jaya S S

12 sept. 2020

par Rodrigo V

24 nov. 2018

par Bopitiye G U N K

14 nov. 2020

par Priyantha B K

2 nov. 2020