A new course on data science

[Michael Levy]

Applied data science course, not R specific but perhaps of interest.

---------- Forwarded message ----------
From: "Raissa D'Souza" <rai...@cse.ucdavis.edu>
Date: Nov 7, 2015 1:29 PM
Subject: [network_science] Re: [csfac] A new course on data science
To: "complexnets" <compl...@ucdavis.edu>, "Dynamics of Learning Group" <dynl...@lists.cse.ucdavis.edu>, "SPINS" <sp...@ucdavis.edu>, "gra...@ucdavis.edu" <gra...@ucdavis.edu>, <network...@ucdavis.edu>, "Duncan Temple Lang" <dtemp...@ucdavis.edu>, "Xin Liu" <l...@cs.ucdavis.edu>
Cc:

P.S. For those interested, the CRN is ECS 289K-001 (21337).  Apologies that we did not have that info in the original email.

--

Raissa M. D'Souza
Professor, UC Davis
Department of Computer Science
Department of Mechanical and Aerospace Engineering
External Professor, Santa Fe Institute
rai...@cse.ucdavis.edu
http://mae.engr.ucdavis.edu/dsouza/

On Sat, Nov 7, 2015 at 9:03 AM, Raissa D'Souza <rai...@cse.ucdavis.edu> wrote:

Hi All,

I think many of you will be interested in this course in Winter 2016.  I imagine the course will fill up quickly! 

The location is still TBD, but the timing is Thursday 5:10-8pm, Winter Quarter 2016.

---------- Forwarded message ----------
From: Xin Liu <xin...@ucdavis.edu>
Date: Sat, Nov 7, 2015 at 8:50 AM
Subject: [csfac] A new course on data science
To: cs faculty <cs...@cs.ucdavis.edu>

Dear colleagues,

We have invited Dr. Ranjan, a Principal Data Scientist from Symantec, to teach a data science course in Winter 2016. The course introduces students to a practitioner’s approach to data science. It targets interested graduate and undergraduate students (with suitable background). Please feel free to share with anyone who might be interested. 

Thanks!

Xin

_____________________________________________________

What: Introduction to Data Science: A Practitioner’s Approach

When:  Thursday 5:10-8pm, Winter 2016

Instructor: Dr. Ranjan, Principal Data Scientist, Symantec 

Course number: ECS 289K-001

Dr. Gyan Ranjan is a Principal Data Scientist at the Center for Advanced Data Analytics, Symantec Corporation, USA. In this course, he will introduce the students to a practitioner’s approach to data science using a hands-on, top-down approach to building analytics from real world data. The first half will focus on instructions on how to build the data pipeline required to deliver an analytic; the various approaches, along with their pros and cons, the practical challenges – of scale and coverage - faced at each stage, and the corresponding programming skills. The students will then apply these techniques in projects in the second half of the course. 

Please see the attached document for details.  

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[Matt Espe]

Might be worth noting that the prerequisites are: 

"Well versed in at least one high level programming language (preferably C++, Java, Python)" 

Matt