Save for later

Spatial Data Science and Applications

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.

Get Details and Enroll Now

OpenCourser is an affiliate partner of Coursera and may earn a commission when you buy through our links.

Get a Reminder

Send to:
Rating 4.2★ based on 86 ratings
Length 7 weeks
Starts Jul 17 (41 weeks ago)
Cost $49
From Yonsei University via Coursera
Instructor Joon Heo
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Data Science
Tags Computer Science Data Science Data Analysis Algorithms

Get a Reminder

Send to:

Similar Courses

What people are saying

data science

Unbelievable course for Spatial data science Thanks for your wonderful lecture!

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

Good course that gives quality review on what spatial data science is and what can you do with it.

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.

Awesome 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.

It helps I have a background in both Data Science and Geographic Information Science, but still found it equally interesting and challenging!

Very good overview of tools used for Spatial Data Science and explained their benefits and limitations for many real-life problems.

It could be an specialization of Spatial Data Science!!

I learned about different spatial data science techniques, but didn't get a chance to try them out.

I wish we spent more time on the spatial data analytics portion of the curriculum, and less on spatial data science architectures.

Lots of overlap with what i would expect in an 'vanilla' data science course.

The course presents a good overview of Data Science techniques applied to Spatial Data topics.

It had given me a strong understanding of the various opensource tools and concepts for spatial data science.

Read more

spatial big data

Thank you This course is an fantastic introduction on Spatial Big Data Management and Analytics.

However, one has to learn many other programming languages such as Hive, Pig and Sqoop to master spatial big data.

Through this course, I got the insights of Server GIS world and the significance of Spatial Big Data System in the real-world applications.

I think that hands-on exercises would have made it perfect especially in the fourth topic of spatial big data.

Read more

practical exercises

But there were some lack of practical exercises.

However, the lack of practical exercises to actually apply what is covered in the lectures really decreases the course value.

good overview

The course offers a good overview and is very compact.

You will gain a very good overview of Spatial Data Science, its basic concepts and the freely available tools such as QGIS etc.

setting up

I would have loved a more in-depth coverage with practical exercises (e.g setting up a hadoop system with MapReduce, pig, Hive).

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

Read more

hands-on exercises

Some hands-on exercises would be nice.

I will be willing to take another course by this teacher especially if it has hands-on exercises.

Read more

hands-on practice

I would advise to make this an specialization with hands-on practice, since the range of topics the course includes is just too dense to effectively leave a solid, real-world applicable knowledge in 6 weeks.

However, there is a lack of hands-on practice.

Read more

Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

DATA PROCESSING AND DATA ENTRY $30k

Data 2 $50k

Spatial Ecologist $61k

Geo-Spatial Analyst $73k

Big Data Developer (Streaming Data) $77k

Data Analyst, Data Warehousing $93k

Geo-Spatial Analysis - Airborne Sensor Operator $94k

Data Administrator / Data Modeler $108k

Data Base Designer and Data Administrator $124k

Senior Data Architect/Data Modeler $135k

Data Modeler/Data Warehouse Architect $142k

Data Integration / Data Warehouse Architect $155k

Write a review

Your opinion matters. Tell us what you think.

Please login to leave a review
Login or register with your email instead.
Rating 4.2★ based on 86 ratings
Length 7 weeks
Starts Jul 17 (41 weeks ago)
Cost $49
From Yonsei University via Coursera
Instructor Joon Heo
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Data Science
Tags Computer Science Data Science Data Analysis Algorithms

Similar Courses

Sorted by relevance

Like this course?

Here's what to do next:

  • Save this course for later
  • Get more details from the course provider
  • Enroll in this course
Enroll Now

Special thanks to our sponsors