I wanted to get started in data science but just didn’t know where to start. There is so much material online and you never know what to trust or how big the field really is. The week-long course was a perfect length for my employer and covered a huge range of topics. There’s so much more I need to learn about data science but now I feel empowered to go back and start applying the theory in my workplace to real-world problems. I would recommend the course to anyone who wants to get started in data science but doesn’t know where to begin.
The combination of theory and practical work, was perfect for me.
As a BI developer with couple of years experience in big data and data science, I always felt the need to polish my skills by understanding the core concepts of data science. This bootcamp gave me a lot of confidence in problem solving and scientifically approaching predictive modeling issue. I am looking forward to building some real world machine learning models.
This bootcamp is an extremely efficient way to learn the fundamentals, and more importantly, application of data science in a very short time. Having funded the course and travel expenses entirely myself, I was naturally apprehensive about the cost. However, before the end of the first day, these concerns completely vanished. This bootcamp is guaranteed value for money. There is no way I could have learnt the materials covered in this training by myself, and not for lack of trying. Studying from a book, or online tutorials just does not compare to the interactive, discussion-based learning approach Raja provides. The Data Science Dojo experience quickly transitioned my thinking and language from academic abstraction to business pragmatism and I cannot recommend this bootcamp highly enough.
Instructors passion, enthusiasm for the subject, willingness to help. Wide range of topics covered in an accessible manner, good balance between maths and presenting things in a easy way to understand.
Good overview of the entire data ‘pipeline’ / chain. Enough ground for further research and practice. Good instructors.
A good opportunity for those with relevant background (either in math/stats or in computer science/developing) to make a head-start in the data science field.