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.
Spatial Data Science and ApplicationsYonsei University
About this Course
Skills you will gain
- 5 stars60.52%
- 4 stars28.19%
- 3 stars7.37%
- 2 stars1.95%
- 1 star1.95%
TOP REVIEWS FROM SPATIAL DATA SCIENCE AND APPLICATIONS
No hands on experience on GIS tools rather than that content was superb.
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.
Really interesting course, well structured. Including practical work ( setting up the tools, writing code or conducting some analysis) would have made of it the best MOOC ever made.
It's really great. Clear and comprehensive. We learn not only the data science, but also the spatial aspects.
Frequently Asked Questions
When will I have access to the lectures and assignments?
What will I get if I purchase the Certificate?
Is financial aid available?
More questions? Visit the Learner Help Center.