More stats than a GIS course, more GIS than a stats course...
...but in a fun way!
11 weeks of:
"Even if you won't be a poet, you need to know how to write"
Prepare for the labs
This course is much more about "learning to learn" and problem solving rather than acquiring specific programming tricks or stats wizardry
Mark (mostly) based on two assignments, due:
Discussion board (5%)
NOTE: recommendation letters only for great students (>70)
Exciting times to be a:
The world is being "datafied"...
Quantification of phenomena through the systematic recording of data, "taking all aspects of life and turning them into data" (Cukier & Mayer-Schoenberg)
Examples: credit transactions, public transit, tweets, facebook likes, spotify songs, etc.
Many implications:
Advances in:
The confluence of the three (computing, communication and geospatial) is creating large amounts of data.
Now, data in itself is not very valuable:
Methods, tools and techniques to turn data into actionable knowledge
Statistics + ...
Some examples...
Some examples...
Geographic Data Science'17 - Lecture 1 by Dani Arribas-Bel is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.