Recently I took the course Visualizing Geospatial Data in Python on DataCamp’s interactive learning platform. To consolidate the new learning, I visualized some spatial datasets for Kenya. Let us find out how the location of Financial Service Providers relates to population.
Under the enactment of Kenya’s 2010 constitution, 47 counties were created as part of a devolved government. For benchmarking purposes, segmentation of these counties should be based on similarity. Clustering models and machine learning allow us to do just that.
Anyone loves a good story, even more so when it is true. This explains the quest for data-driven visual storytelling in all spheres of life across the world. Could it help me as a Geospatial Data Scientist to reach a wider audience and make a bigger impact? Let us find out.
In May 2018, I received my Microsoft Professional Program Data Science Certificate. I thoroughly enjoyed going through the different units and now look forward to putting my new-found skills as a data scientist into practice. Allow me to share my experience, especially with those who want to follow my footsteps.