Great course structure and tutors. The bootcamp covers all the technical and business aspects of data science. I feel very confident that I would be able to apply new skills to my organization.
The instruction of the bootcamp was really top notch — both Phuc and Dave were great. This bootcamp serves as a really solid and surprisingly thorough introduction to data science. The take-home course materials seem to be a really valuable reference. Specifically, I found the random forest, bagging, boosting, and cross-validation sections to be very useful.
The topics covered were good. It had a logical flow. The pre-bootcamp topics were very helpful in getting started early.
Prior to the course, I had some basic understanding of machine learning. Looking at class participants, I think absolute beginners can get started and start predictive modeling in just two days. Very well planned and very focused.
I loved the course. Using R to do predictive modeling and analyzing data is a great resource to have in a developer’s list of tools.
I think participating in Kaggle was a good addition. By doing that, I was able to go online and look at what others were doing with the titanic data. It also gave me a sense of achievement when I posted my results for the first time, and scored somewhat better than average.
Right balance between hands-on and theory/concept. Raja makes sure we get the logic of (at first) very complicated statistics and machine learning concepts before applying them.