MW
13 de ago de 2018
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.
BC
5 de ago de 2021
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
por Andrew S
•10 de mar de 2021
Teaches some good concepts, but does not show full workflows (no opportunity to replicate/ follow along). R code was mentioned, but not shown. :( Has numerous grammatical and spelling errors which could have been prevented with simple spelling & grammar checks in Microsoft Word.
por Muhammad A N
•26 de ago de 2020
The topics covered in this course are very complex and interesting. Several open-source software were introduced yet there is no hands-on training. Overall, this course is good to give students an understanding of spatial data science.
por Jairo d S F J
•20 de set de 2020
The course scratches all the areas of Spatial Data Science, overviewing techniques and use cases. Don't expect to learn the tools. Even though it explain the foundations of some tools, it won't teach you how to use them.
por Abhishek W
•9 de abr de 2020
Course contents are very relevant to the industry, but the course lack in hands-on tutorials of various spatial data science tools. The tutor should himself go through the tools for the students during the course.
por Sristi S
•4 de mar de 2020
The course was quite good for getting the introductory knowledge about spatial data science and its related domain . However, it lacks some practicals work to be done by the enroller itself. Thanks
por FORSI N B
•11 de abr de 2020
Rich course. However, i expected to see more. I expected to learn how to better manipulate QGIS but the course is entirely theoretical
por Milan B
•15 de jan de 2020
Good high level overview of spatial data science but the course would have been much better with a hand-on instruction!
por Uday P S B
•22 de abr de 2020
Very Informative but lacks hands-on practice or assignments
por adiwan F A
•8 de nov de 2020
Need hands-on to use the software
por Ahmed E
•30 de dez de 2019
need more practicality
por CODES 4
•9 de nov de 2020
Nice Course
por Raffi I
•13 de ago de 2020
This course did not meet my expectations. I was expecting that this course would be heavy on hands-on applications of the software used in each discipline of spatial data science. I did not, so I still have to find my own way to learn these open-source software programs. The course, however, explains the four disciplines extensively. It would have been better if the instructor used real-world applications simultaneously with each methodology described so that we can grasp the principles more quickly and intuitively.
por MONCADA S J F
•18 de jun de 2020
The theory was very interesting and you learn a lot about spatial data science, as well as something very basic about the proposed architecture. But it takes a lot of practice, the student wants to test and run the practices on their computer (or why name Open Source software?)
por Allyson D d L
•17 de out de 2021
Too boring. No practical exercises. I couldn't finish all lectures because I had no more patience for that. I was thinking I would learn how to use QGIS or any tool for GIS, but absolutely not. The slides have links to youtube videos but we can't download the slides.