About
About
Insight is an intensive 7-week post-doctoral training fellowship bridging the gap between academia and data science in Silicon Valley and New York. Applicants should have a background in Physics & Astrophysics, Mathematics & Statistics, Neuroscience & Bioinformatics, or Engineering & Computer Science, as well as their PhD. Students are mentored by employees of top tech companies, who then hire graduates as data scientists and engineers. Insight is a funded PhD fellowship, so admitted fellows do not pay upfront tuition.
Recent Insight Data Science Reviews: Rating 1.0
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Courses
Courses
Artificial Intelligence
ApplyStart Date None scheduled Cost N/A Class size N/A Location New York City, Silicon Valley Financing
Deposit N/A Financing Financing available through SkillsFundGetting in
Minimum Skill Level N/A Placement Test Yes Interview Yes
Data Engineering
ApplyStart Date None scheduled Cost N/A Class size N/A Location New York City, Silicon Valley Insight Data Engineering is a seven-week professional training program designed to be your bridge to a career in Data Engineering. Insight Data Engineering in a nutshell: - Tuition-free, need-based scholarships available - Free cloud computing resources - Build scalable, distributed data pipelines - Benchmark data technologies - Contribute to the latest open source projects - Self-directed, no classes - Guidance from industry mentors and leaders in the open source community - An alumni network of over 750 Data Scientists and Data Engineers working at over 100 top companiesFinancing
Deposit N/A Financing Financing available through SkillsFundScholarship All accepted Fellows are awarded the opportunity to apple for a small, need-based scholarship. Getting in
Minimum Skill Level N/A Placement Test Yes Interview Yes
Data Science
ApplyStart Date None scheduled Cost $0 Class size N/A Location New York City, Silicon Valley Insight Data Science is an intensive, seven week professional training program designed to be your bridge to a career in Data Science. Insight Data Science in a nutshell: - Tuition-free, need-based scholarships available - Self-directed, no classes - Build real world data science solutions - Guidance from industry mentors and leaders in the Data Science Community - An alumni network of over 750 Data Scientists and Data Engineers working at over 100 top companiesFinancing
Deposit N/A Financing Financing available through SkillsFundScholarship All accepted Fellows are awarded the opportunity to apply for a small, need-based scholarship. Getting in
Minimum Skill Level Must have PhD Placement Test Yes Interview Yes
Health Data Science
ApplyStart Date None scheduled Cost N/A Class size N/A Location Silicon Valley, Boston Insight Health Data Science is an intensive, seven week professional training Fellowship designed to be your bridge to a career in Health Data Science.Financing
Deposit N/A Financing Financing available through SkillsFundScholarship All accepted Fellows are awarded the opportunity to apply for a small, need-based scholarship. Getting in
Minimum Skill Level Must have a PhD. Placement Test Yes Interview Yes
Reviews
Insight Data Science Reviews
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- Questionable experience- 9/5/2019Anonymous
I applied for the program several months ago and was interviewed by one of Insight’s interviewers, ‘Matt.’ About 10 minutes into the call, Matt jumped into an immediate negative assessment of my interview performance after asking when I last coded professionally.
I then asked a series of questions about the program, which he perfunctorily answered and directed me to read Insight’s FAQ.
Matt then asked if I was recording the conversation, with no reasons offered for his line of questioning. (I was not recording the conversation and informed him that I was not.). He then proceeded to speak on an off tangent and again stated that if I were recording the conversation, it was not allowed. (I had already stated I was not recording the conversation, and was unsure why he kept pursuing this line of questioning).
I’m not certain what impression Insight wishes to leave with prospective candidates, but it was not a good one for me. I will not be pursuing this poorly run program as a result, and will not be recommending it to any of my friends or colleagues.
