Data science demands versatility. Move away from your regular methods, challenge your ways of working, explore new ways of doing things more efficiently. On reminiscing about my old days, my initial years in data science, I had also got trapped by this devil of ‘complacency’. At one point, I was not challenging myself enough. I wasn’t experimenting with the ways of doing work. I accepted the things as they were, until I realized ‘Complacency is a state of mind that exists only in retrospective: it has to be shattered before being ascertained’. Now, whenever possible, I try to challenge my ways of working with a purpose of doing it faster and more efficient. It helps me to discover new ways of working in data science.
Process Mining is introduced and explained, including Its benefits for Data Science, and key resources for further exploring Process Mining, including videos, articles, and MOOCs.
In this post, we write a shiny app that lets you display and modify data that is stored in a database table.