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Spatial Data Science and Applications

4.4
48 reviews

Created by: Joon Heo

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Overall Score : 88 / 100

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Course Description

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.
Read More product length iconTime: 14h

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Instructor Details

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Joon Heo is a professor at the department of civil and environmental engineering, and the director of Open and Smart Education (OSE) Center, which was formed in 2014 and in charge of MOOC production, Yonsei Learning Management System (YSCEC), and other educational issues. He also served as an associate director of Yonsei Enterprise Support (YES) Foundation from 2009 to 2017, which is in charge of incubating and accelerating start-ups at Yonsei University. He obtained his B.S. in the Department of Civil Engineering (Urban Engineering Major) from the Seoul National University in 1993, and his M.S. and Ph.D. in Civil and Environmental Engineering from University of Wisconsin-Madison in 1997 and 2001 respectively. In 2000, he joined a start-up company, Forest One Inc., a value-added geospatial information provider and IT consulting company, located in Evanston, IL. For the following five years, he leaded technology developments as CTO and provided technical services to Fortune 500 companies. He joined the Department of Civil and Environmental Engineering at Yonsei University in 2005 as a faculty member and has taught Geographic Information System (GIS), photogrammetry, and remote sensing. His areas of research interests include (1) spatial data production and analytics with specific domain expertise of infrastructure operation and management; (2) spatial data science with applications of transportation, health, business, military, and education; (3) image processing and remote se

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Reviews

4.4

48 reviews in total

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By Robson M d S on 15-Nov-19

Excelent course for a quicly introduce and comprehension of tools and principles of spatial data science. Of course as all thecnological courses it do not allow your to develop professional works without a pratical trainging but offers a very good background for a search by ourself.

By David A E on 11-Nov-19

Excellent course. Knowledge in the course is well presented and concise and gives you basic and even intermediate level of understanding spatial daa anlysis.

By Irina R on 30-Oct-19

clear presentations and good examples

By Alfredo A on 29-Sep-19

Excellent course

By Felipe d J C H on 6-Sep-19

Excellent

By Gopinath P on 3-Sep-19

The course is way overloaded with way too many concepts.It should have clear prerequisites and defined educational background before taking.Some concepts are really vaguely described and pushed on.Can really improve on this.

By Jani P on 19-Aug-19

Great value for the beginner like me!

By Rudy M P on 5-Aug-19

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.

By Kumar R on 27-Jul-19

The course is at introductory level and not intermediate. There is a good "basic information", but no hands-on exercise. That leaves a lot that actually needs to be learned upon the student. So, in my opinion, the course doesnt even consider the skill building at introductory level from an introductory standpoint.

By CHESSEL P on 16-Jul-19

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.

By Alicia A G d m on 15-Jul-19

Practical, updated and well explained

By Marino M on 11-Jul-19

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.

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Spatial Data Science and Applications
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  • Video Duration: icon 14h
  • Price: Free
  • Provider: icon Coursera
  • University: icon Yonsei University
  • Language: icon English
  • Certificate: icon Yes

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