Analyze data from the hit mobile game, Candy Crush Saga.
Candy Crush Saga is a hit mobile game developed by King (part of Activision|Blizzard) that is played by millions of people all around the world.
In this Project, you will get to work with a real Candy Crush dataset and use this data to estimate level difficulty.
This Project assumes you can manipulate data frames using
dplyr and make
simple plots using
ggplot2. You can learn these skills in Introduction to the Tidyverse.
Senior Data Scientist at King (Activision Blizzard)
I'm a Data Scientist at King (Activision/Blizzard) and previously I've been an instructor at DataCamp. I once did a PhD in Cognitive Science at Lund University. I'm passionate about Bayesian statistics, good graphs and free coffee. Follow me @rabaath on Twitter or check out my blog, Publishable Stuff.See More
Lead Data Scientist at King (Activision Blizzard)
Xavier Guardiola is a PhD in Physics working now as lead data scientist at King, where he tries to make use of the data generated by millions of players to help making games even more fun. Before that, he was promoting and applying data science in several start-ups. You can follow him on Twitter at @xguardi.See More