Sunday, March 29, 2015
02:30 PM - 05:45 PM
As there is a rush to hire data scientists these days, there is a coincident rush to update resumes to include the term "Data Scientist". Unfortunately, like most types of science, it is less a single topic and more a multi-disciplinary way of thinking, inquiring and communicating. You won't become a data scientist overnight, but you can learn to be one in time.
This tutorial will introduce you to the various skills that go into data science, provide practical walk-throughs of relevant tools and lay down a study plan for moving forward in this field.
We will touch upon:
- Machine learning
- Programming languages
"This last seminar is easily THE BEST session I attended."
"Brian's material & ability to communicate are superlative."
"Brian is an excellent teacher of these concepts."
"Scintillating exposition about data science."
Brian Sletten is a liberal arts-educated software engineer with a focus on forward-leaning technologies. He is a system architect, a developer, a mentor, and a trainer. Brian has been speaking about REST, the Semantic Web, and other technologies around the world as part of conferences such as NoFluffJustStuff, JavaOne, Jazoon, the Spring Experience, the Rich Web Experience, and Museums on the Web. Brian has written for DevX's Semantic Web Zone, JavaWorld, and has contributed chapters to O'Reilly Media's "Beautiful Architecture" and "97 Things Every Project Manager Should Know." He has a B.S. in Computer Science from the College of William and Mary and currently lives in northern California. He consults and speaks frequently about next generation technologies around the world.