This is the greatest gift I could’ve given myself to jump forward in a field I’m passionate about.
When it comes to data science training, there are many options for instructor led and self paced courses. With other courses, however, you aren’t guaranteed to have staff or instructors as passionate or knowledgeable of data science as the Data Science Dojo crew. Raja’s delivery is impressive, to say the least, and it makes the long days seem short. This is the best training I’ve received in my professional career.
I really enjoyed being able to learn data science concepts in a hands-on environment. The lectures were interesting and engaging. It easily ties back to real work scenarios.
I really appreciated that we spent a lot of time on applicability: why choose one algorithm over another, how and why to tweak a certain algorithm, and so on. This was drastically different than a lot of my education, and it’s exactly why I signed up for the course.
I have a programming background and have done data wrangling before the course but I’ve learned so much in this course than I could have anywhere else. The instructors made the bootcamp the most enjoyable and informative class I’ve ever taken. They are very patient in answering all my questions, and they inspired me to be a better coder and explore a career in data science.
The instructors were great, they work really well with each other. I thought 10 hour days would go slow, but they actually went fast (and am glad they set the tone on day one that we would be there the entire time). The instructor knowledge was crazy good, and their willingness to answer any and all questions, even while eating lunch, was awesome. I really learned a lot. Great labs on days 1,2, and 5.
I highly encourage everyone interested in data science to attend this bootcamp, no matter what your domain knowledge and skillsets are. The instructors are enthusiastic, knowledgeable, and fun. They teach you a lot of material but in a highly digestible and entertaining manner. The bootcamp is very well organized and you leave with plenty of material to continue learning data science on your own.