Overall enthusiasm and depth of knowledge. Dave’s morning recap of the previous day was very valuable. Even though the pace was fast, the bootcamp gave an introduction to key features of R with examples. The exercises helped to reinforce those concepts. Key methods were taught and emphasized, which will enable us to make practical models right away.
Advanced Analytics Math Modeler at The Dow Chemical Company
The focus on data exploration rather than the algorithm itself was awesome. Introduction to Kaggle competition added more value as we can continuously learn rather than get stuck only during these 5 days.
If you were considering a transition to a career in data science, this bootcamp provides good exposure to the field by knowledgeable instructors. It is intense, but it has to be to touch on the material in the allotted time.
I had been trying to get into data science for many months, watching videos like those posted by the Harvard Data Science cs109 class but at the end of the day I wasn’t really learning efficiently or learning all that much at all because it wasn’t clear how what they were teaching me would relate to my job and I also didn’t have the opportunity to ask questions about topics I wasn’t familiar with. I decided that I needed an instructor led course and the fact that Data Science Dojo is 5 days was the biggest selling point. The days can be long especially if you really get into the Kaggle competition but at the end of the bootcamp, I know how to apply the principles of data science and machine learning to my work domain.