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Вернуться к Spatial Data Science and Applications

Отзывы учащихся о курсе Spatial Data Science and Applications от партнера Университет Ёнсе

Оценки: 398
Рецензии: 132

О курсе

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....

Лучшие рецензии

13 авг. 2018 г.

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.

4 июля 2019 г.

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

Фильтр по:

51–75 из 130 отзывов о курсе Spatial Data Science and Applications

автор: Dr. M P

4 апр. 2020 г.

Excellent Faculty and nice correlation of GIS subject with Data Science.

автор: Nilantha R

9 нояб. 2020 г.

This is a very good and helpful Couse which I can Recommend to all.

автор: Alejandro R

1 июля 2018 г.

Excelent!! It could be an specialization of Spatial Data Science!!

автор: RUYMAN B B

11 мая 2020 г.

Gracias por el magnifico curso, he aprendido bastante. Un saludo.

автор: Diego B Y

19 окт. 2020 г.

Excelente curso introductorio a la ciencia de datos espaciales.

автор: Camilo A P

1 дек. 2018 г.

Muy buen curso. Muy completo. Lo recomiendo mucho.

автор: Sangyoon P

18 мар. 2018 г.

Unbelievable course for Spatial data science

автор: Mumtaz A

5 февр. 2019 г.

very nice and easy to understanding lesson.

автор: Muhammad U

12 июня 2019 г.

Very informative course indeed. Thank you

автор: Pável I S C

10 дек. 2019 г.

¡Un curso muy didáctico y recomendable!

автор: Jani P

19 авг. 2019 г.

Great value for the beginner like me!

автор: Alicia A G d m

15 июля 2019 г.

Practical, updated and well explained

автор: Akella V A K

26 мар. 2019 г.

Great course. Thanks Prof Joon Heo.

автор: Sungha J

11 мая 2018 г.


автор: Rajeev K

26 сент. 2018 г.

Course is amazing.

автор: ABDUL W

7 апр. 2021 г.

Very nice course.

автор: KUBİLAY S

26 окт. 2020 г.

Yeesssss !!!!!!!!

автор: yasser.taufiq

5 июля 2020 г.

Nice Material...!

автор: Anand R

5 нояб. 2020 г.

Excellent course

автор: Alfredo A

29 сент. 2019 г.

Excellent course

автор: Frank J A

16 сент. 2020 г.

You will learn

автор: Heena S

15 июля 2020 г.

Great Course!

автор: Vivian F L

26 окт. 2020 г.



26 сент. 2020 г.

Great course

автор: Edier V A G

20 июня 2020 г.

very good