Recently, many companies are facing similar problems regarding movement of people or goods such as transportation (Uber, Lyft), food delivery (UberEATS, Rappi), grocery delivery (Instacart, Rappi, Cornershop) and so on. Due to similar companies solving alike problems, the winner could be the one with best possible algorithms for the most complex problems.
During this workshop, you will take away exposure to the most common spatial problems, how to deal with them, the tools and the trade-offs between different approaches. Some problems are spatial indexing, spatial clustering and some more. Additionally, proposed approaches will have a theoretical intuition and the practical implementation in python. The combination of data science and spatial problems haven’t had enough attention and is getting more important every year.
I learned about parts of user experience journey that I didn’t understand before, so now I really know what mistakes I can avoid and what steps I shouldn’t miss.
It was a fun environment and it seemed like we were just learning about UX design and hanging out with friends.