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.
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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You will learn
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I am a postgraduate and so far I have been practising only Desktop GIS and Spatial data analysis. 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 consider this as a significant step towards my Data Science career.
The course content is reliable and outstanding.
Content delivery and presentations were deliberately comprehensible.
The only limitation was the hands-on presentation was inadequate.
Anyway, this is a great course, and I was delighted.
by Ankur G•
The Course is awesome to get knowledge of data science wih spatial data. But this is only theoretical course i mean only those who have understanding of GIS can enroll this course before learning data science since it gives clear pictures of all required aspects of spatial data science. I am little fed up because lots of theory covered, Some of the units may be removed to get practical in this course. By the way if you need only knowledge of spatial data science & related very sound vocabulary this is the course for you.
by Laurence R G A•
When i enrolled here i thought it would be easy due to my background GIS, however i was wrong it tackled on a range of different topics that was very new to me but i was already facing in real life. It also showed the connections of each and every one of the functioning parts within the spatial data science. Overall it was an excellent course since it showed me new concepts and interplay of different spatial data systems and how can it be used.
by Daniel M•
The course offers a good overview and is very compact. I would have loved a more in-depth coverage with practical exercises (e.g setting up a hadoop system with MapReduce, pig, Hive). This way, I could have learned a lot more than by simply watching the videos offered. Further, please provide the well designed slides for download. I already posted this request in the course forum, but the forum doesn't seem to be used (no answers at all).
by Vignesh T•
This course is an fantastic introduction on Spatial Big Data Management and Analytics. It had given me a strong understanding of the various opensource tools and concepts for spatial data science. I would strongly recommend others to undergo the course as an Introduction to spatial data science and applications. However, one has to learn many other programming languages such as Hive, Pig and Sqoop to master spatial big data.
by Prabuddha D B•
This is an introductory course of spatial data science. Various technologies will be introduced but no hand on experience given. The given information can be used as starting point for learning spatial data science
Only take this course if you are already familiar with some GIS (QGIS/ ArcGIS) , database management & spatial analyst as this course will introduce many concepts/ theories
by Nils K•
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.
by Sina N A•
this course illustrated the main structure of Spatial Data Analysis. this was useful for getting a general knowledge about different part of spatial data analysis and their connectivity. but if it suggested a relative courses or documents for following and concentrating on each ones, i would appreciate that
by Pradip S•
A superficial insight into spatial data learning with comprehensive theoretical concepts and explanations. Although hand-on exercises and deeper applications could have made this course more applicable and thoroughgoing. Overall, this course serves as a pathways into the realm of spatial data science.