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.

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.

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!

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.

It was a wonderful experience and able to get more knowledge on spatial data and spatial big data. I would like to thank our lecturer and the university for the valuable course.

Thank You all

Best regards

Arshadh

Pretty good course. I've learned too much about Spatial Big Data, Geoanalytics & Data Science. I'm very grateful to the University of Yonsei and with the professor Joon Hoe, for sharing his knowledge with us.

Es un excelente curso para aprender de manera general los temas que involucran el analisis de datos espaciales y sus diferentes formas de aplicar, complementar, estudiar, plantear soluciones a casos reales.

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.

Very grateful to Yonsei University for the course received, and I congratulate them for the effort made in preparing the course, highly recommended for beginners in Spatial Data Science.

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

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

Excellent theory material and interesting application examples, but a more practical approach (when possible) would improve the learning experience.

This is a comprehensive course on spatial analysis techniques. Suitable for forming a basic understanding of the application of spatial analysis.

very insightful and impacting session laced with applicable examples and contemporary issues. Thank you coursera. Thank you Yonsei University.

It was a long 6 week journey but very pleasant, although some lectures were full of information everything was clear and easy to understand.

This an excellent opportunity to learn spatial big data applications with the fundamental, the teacher is so clear in every lesson

Love the course! Explained very detail about spatial. Hope I can land my dream job soon that is related to spatial analysis.

Very good course, especially regarding spatial database, because my knowledge was limited only to a spatial analysis.

The entire concept of Spatial Data Science is simplified to the understanding of an intermediate learner. Thank you

It's really great. Clear and comprehensive. We learn not only the data science, but also the spatial aspects.

Excellent course to familiarize oneself with the methods and relevant applications of Spatial Data Science!

Great course! my only complain is on the teacher's accent. Turned on the subtitles and it was fine, thou

This is such a great course, thank you for sharing your knowledge to us about spatial data science

As a geographer this course has reinforced my knowledge in the spatial cience. It´s very complete

Thanks for your wonderful lecture! :)

It really helped me to understand Spatial Data processing.