Retour à Spatial Data Science and Applications

4.4

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29 avis

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....

par 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.

par BJ

•Feb 15, 2018

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

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28 avis

par Aleksandar Mitrović

•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 Mumtaz Ali

•Feb 05, 2019

very nice and easy to understanding lesson.

par Sergiy Sidorenko

•Jan 19, 2019

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

par Kiran Vajrapu

•Dec 17, 2018

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

par Camilo Andrade Pérez

•Dec 02, 2018

Muy buen curso. Muy completo. Lo recomiendo mucho.

par Rodrigo Vega

•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 Nils Koesters

•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 Priyanka Chouhan

•Oct 24, 2018

Awesome

par Johans A. Arica-Gutierrez

•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 sushmita ghosh

•Oct 04, 2018

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