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	Reviewer Name	Review Body
	Rose Wang	I learned a lot of tools used by data scientists in day-to-day work, such as supervised and unsupervised machine learning, natural language processing and distributed computing. In addition to that, I made like-minded friends in my cohort
	Luis	Learning: The Data Incubator was an outstanding experience. I got to know and work with some of the brightest minds there are, the cohort included Ph.D's and Post Docs from Stanford, Duke, Johns Hopkins, Yale among others. We were all gathered in the same place to exchange ideas and tackle our very demanding weekly projects (a different relevant subject each week) while working on our final, capstone project. I was exposed to so many different technologies, from big data to deep learning, from statistical analysis tools to machine learning, some of them I already knew and some were new to me. Interviewing: They have a great list from hiring partners all over the US (and many abroad), including very big names from Silicon Valley and Seattle. We had weekly interviewing practice, from hard to soft skills, from coding to communicating. Your success is their success, it is a win-win scenario.
	Aurora LePort	TDI laid the foundation of knowledge for computer science and data science related concepts. The TDI curriculum provided me the breadth and depth of knowledge necessary to understand everything from software engineering and numerical computation to the use of programming tools (including Python and d3 for data visualization), Natural Language Processing, statistics and probability as well as the ability to apply parallel processing to data analysis. Importantly, TDI also prepared me for the technical questions asked during my data science interviews.

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