This tutorial offers a basic introduction to practicing data science.
We'll walk through several typical projects that range from
conceptualization to acquiring data, to analyzing and visualizing it,
to drawing conclusions.
Data science is evolving rapidly. I'll talk about our current and slightly future technical and philosophical challenges, including realtime vs non-realtime analysis, streams of data vs traditional databases, and some of the opportunities we have to learn amazing things about the world through our data and what this means for those of us who are immersed in working with it.
Premier Diamond Sponsor
For information on exhibition and sponsorship opportunities at the conference, contact Susan Young at email@example.com