Data Science Bootcamp: From Green Recruits to Hot Prospects in Twelve Weeks
Metis Data Science was launched this year, a new economy skills training bootcamp designed to create entry-level data scientists, ready for hire in twelve weeks. The bootcamp is a collaboration between the seasoned data science practitioners at Datascope and the experts in training, learning science, and course development at Kaplan Test Prep.
In creating the data science bootcamp, there were many choices to be made. We wanted to cater to the broadest audience of trainees possible, while staying responsible to our promise to have them ready for duty after twelve short weeks. In the admissions process, we created models based on ultimate (frisbee) self-ranking rubrics to identify candidates with the right amount of experience, exposure, tenacity, and insanity to join our ranks as fellow data scientists. Our recruits build a tailored portfolio of work that helps them to showcase their “many hats.” We imagined a multidimensional space to map out our projects and assignments, to ensure that we were maximizing the breadth of the hands-on exposure the course would provide.
Bootcamps are not the only option for someone interested in becoming a data scientist: other options include masters degrees and certificates from traditional universities, as well as online and self-paced courses. The relative strengths and trade-offs of each will be briefly addressed.
Laurie Skelly is a Data Scientist at Chicago-based data consulting firm Datascope Analytics. She is passionate about tackling the intractable and removing the barriers between the human and the technical components of a problem. Connecting a real-world problem to its ideal technical solution is an art and a science, and Laurie excels at designing systems that create the perfect match for a client’s needs. She has led and contributed to projects for Datascope clients, who range from regional nonprofits to international Fortune 50 giants and represent a broad collection of business sectors and verticals. In addition to the practice of data science, Laurie is at home at the front of a classroom. She is a lead on the course design team behind the Metis Data Science Bootcamp scheduled to launch in 2014. Laurie received a BA in Neuroscience from Trinity College in Hartford, CT, and a PhD from the Integrative Neuroscience Program at the University of Chicago. Her dissertation employed machine learning algorithms to model the neural circuitry of emotion in incarcerated psychopathic offenders.
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