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Spatial Data Science and Applications
  • Level Professional
  • Duration 12 hours
  • Course by Yonsei University
  • Offered by

About

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.

Modules

Introduction to the course

    • 1 Videos
Show info about module content

1 Videos

  • Introduction to the course

1.1 Introduction to Spatial Data Science

    • 1 Videos
    • 1 Discussion
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1 Discussions

  • Your problem related to spatial data science

1 Videos

  • 1.1 Introduction to Spatial Data Science

1.2 Why is Spatial Special? (I) - A Business Perspective

    • 1 Videos
    • 1 Discussion
Show info about module content

1 Discussions

  • Your opinion on why spatial is special

1 Videos

  • 1.2 Why is Spatial Special? (I) - A Business Perspective

1.3 Why is Spatial Special? (II) - A Technical Perspective

    • 1 Videos
Show info about module content

1 Videos

  • 1.3 Why is Spatial Special? (II) - A Technical Perspective

1.4 Why is Spatial Special? (III) - A Data Perspective

    • 1 Videos
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1 Videos

  • 1.4 Why is Spatial Special? (III) - A Data Perspective

Week 1 Test

    • 1 Assignment
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1 Assignment

  • Understanding Spatial Data Science

2.1 Four Disciplines for Spatial Data Science and Applications

    • 1 Videos
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1 Videos

  • Four Disciplines for Spatial Data Science and Applications

2.2 Open Source Software's

    • 1 Videos
    • 1 Readings
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1 Videos

  • Open Source Software's

1 Readings

  • QGIS vs. ArcGIS

2.3 Spatial Data Science Problems

    • 1 Videos
Show info about module content

1 Videos

  • Spatial Data Science Problems

2.4 Spatial Data vs. Spatial Big Data

    • 1 Videos
    • 1 Readings
Show info about module content

1 Videos

  • Spatial Data vs. Spatial Big Data

1 Readings

  • What is spatial Big Data?

Week 2 Test

    • 1 Assignment
Show info about module content

1 Assignment

  • Solution Structures of Spatial Data Science Problems

3.1 Five Layers of GIS

    • 1 Videos
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1 Videos

  • Five Layers of GIS

3.2 Spatial Reference Framework

    • 1 Videos
    • 1 Discussion
Show info about module content

1 Discussions

  • Coordinate systems of your country

1 Videos

  • Spatial Reference Framework

3.3 Spatial Data Models

    • 1 Videos
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1 Videos

  • Spatial Data Models

3.4 Spatial Data Acquisition

    • 1 Videos
    • 1 Readings
Show info about module content

1 Videos

  • Spatial Data Acquisition

1 Readings

  • Sources of Spatial Data

3.5 Spatial Data Analysis

    • 1 Videos
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1 Videos

  • Spatial Data Analysis

3.6 Geo-visualization and Information Delivery

    • 1 Videos
    • 1 Readings
Show info about module content

1 Videos

  • Geo-visualization and Information Delivery

1 Readings

  • Making Sense of Maps

Week 3 Test

    • 1 Assignment
Show info about module content

1 Assignment

  • Geographic Information System (GIS)

4.1 Database Management System (DBMS)

    • 1 Videos
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1 Videos

  • Database Management System (DBMS)

4.2 Spatial Database Management System (SDBMS)

    • 1 Videos
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1 Videos

  • Spatial Database Management System (SDBMS)

4.3 Big Data System – MapReduce

    • 1 Videos
    • 1 Readings
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1 Videos

  • Big Data System – MapReduce

1 Readings

  • DBMS vs. MapReduce

4.4 Big Data System – Hadoop

    • 1 Videos
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1 Videos

  • Big Data System – Hadoop

4.5 Hadoop Ecosystem

    • 1 Videos
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1 Videos

  • Hadoop Ecosystem

4.6 Spatial Big Data Systems

    • 1 Videos
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1 Videos

  • Spatial Big Data Systems

Week 4 Test

    • 1 Assignment
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1 Assignment

  • Spatial DBMS and Big Data Systems

5.1 Introduction to Spatial Data Analytics

    • 1 Videos
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1 Videos

  • Spatial Data Analytics

5.2 Proximity and Accessibility

    • 1 Videos
    • 1 Readings
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1 Videos

  • Proximity and Accessibility

1 Readings

  • Starbucks GIS

5.3 Spatial Autocorrelation

    • 1 Videos
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1 Videos

  • Spatial Autocorrelation

5.4 Spatial Interpolation

    • 1 Videos
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1 Videos

  • Spatial Interpolation

5.5 Spatial Categorization

    • 1 Videos
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1 Videos

  • Spatial Categorization

5.6 Hotspot Analysis

    • 1 Videos
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1 Videos

  • Hotspot Analysis

5.7 Network Analysis

    • 1 Videos
    • 1 Readings
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1 Videos

  • Network Analysis

1 Readings

  • Happy Maps

Week 5 Test

    • 1 Assignment
Show info about module content

1 Assignment

  • Spatial Data Analytics

6.1 Desktop GIS

    • 1 Videos
    • 1 Discussion
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1 Discussions

  • Your critique on the approach in the lecture

1 Videos

  • Desktop GIS - Finding Optimal Counties for Timber Investment

6.2 Server GIS

    • 1 Videos
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1 Videos

  • Server GIS - An Integration of Municipal Spatial Databases

6.3 Spatial Data Analytics I

    • 1 Videos
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1 Videos

  • Spatial Data Analytics I - Influential Variables of Regional Disease Prevalence Rate

6.4 Spatial Data Analytics II

    • 1 Videos
    • 1 Readings
Show info about module content

1 Videos

  • Spatial Data Analytics II - Military Infiltration Route Analysis

1 Readings

  • Infiltration route analysis using Thermal Observation Devices

6.5 Spatial Big Data Management and Analytics

    • 1 Videos
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1 Videos

  • Spatial Big Data Management and Analytics - Taxi Trajectory Analysis for Finding Pick-up Hotspots

Week 6 Test

    • 1 Assignment
Show info about module content

1 Assignment

  • Practical Application of Spatial Data Science

Auto Summary

Discover the essential field of Spatial Data Science with this professional course by Coursera. Designed for those with a foundation in data science, it delves into the significance of spatial data in today's tech landscape. Over six weeks, you'll explore GIS, DBMS, Data Analytics, and Big Data Systems, using tools like QGIS, PostgreSQL, and Hadoop. Ideal for aspiring spatial data scientists, the course offers practical insights and real-world problem-solving using open source software. Subscription options are available.

Joon Heo
Instructor

Joon Heo