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DTSTART;TZID=US/Eastern:20180222T181500
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DESCRIPTION:We continue our kick off for the year with an introduction to t
 he world of Data Science.\n\nWhat is Data Science?\n\nData Science is the 
 study of the generalizable extraction of knowledge from data. Being a data
  scientist requires an integrated skill set spanning mathematics\, statist
 ics\, machine learning\, databases and other branches of computer science 
 along with a good understanding of the craft of problem formulation to eng
 ineer elective solutions. This short lecture will introduce you to this ra
 pidly growing field and introduce some of its basic principles and tools a
 s well as its general mindset. Students will learn concepts\, techniques a
 nd tools they need to deal with various facets of data science practice\, 
 including data collection and integration\, exploratory data analysis\, pr
 edictive modeling\, descriptive modeling\, data product creation\, evaluat
 ion\, and effective communication. The focus will be on the very high leve
 l treatment of these topics\, synthesis of concepts and their application 
 to solving problems.\n\nFollowing this there will a general discussion\, Q
 &A and update on the current state of landscape (recent major annoucenment
 s will be also shared)\n\nCo-sponsored by: Prof. Subramaniam Ganesan & Edu
 cation Society SE Michigan chapter\n\nSpeaker(s): Sharan Kalwani\, \n\nAge
 nda: \n6:00 PM - Welcome and Introductions\, Chapter business update\, Piz
 za\n\n6:15 PM - Main Presentation: Data Science - what is this all about??
 \n\n7:30 PM - Post event discussion\, Q&A and landscape update\n\n7:45 PM 
 - Wrap Up\n\n7:45 to 8 PM - Networking\n\nRoom: EC 254\, Bldg: Engineering
  Center\, 115 Library Drive\, Oakland University\, Rochester\, Michigan\, 
 United States\, 48309-4479
LOCATION:Room: EC 254\, Bldg: Engineering Center\, 115 Library Drive\, Oakl
 and University\, Rochester\, Michigan\, United States\, 48309-4479
ORGANIZER:sharan.kalwani@ieee.org
SEQUENCE:14
SUMMARY:Introduction to Data Science (for beginners & the curious)
URL;VALUE=URI:https://events.vtools.ieee.org/m/160166
X-ALT-DESC:Description: <br /><p>We continue our kick off for the year with
  an introduction to the world of Data Science.</p>\n<p><strong>What is Dat
 a Science?</strong></p>\n<p>Data Science is the study of the generalizable
  extraction of knowledge from data. Being a data scientist requires an int
 egrated skill set spanning mathematics\, statistics\, machine learning\, d
 atabases and other branches of computer science along with a good understa
 nding of the craft of problem formulation to engineer elective solutions. 
 This short lecture will introduce you to this rapidly growing field and in
 troduce some of its basic principles and tools as well as its general mind
 set. Students will learn concepts\, techniques and tools they need to deal
  with various facets of data science practice\, including data collection 
 and integration\, exploratory data analysis\, predictive modeling\, descri
 ptive modeling\, data product creation\, evaluation\, and effective commun
 ication. The focus will be on the <strong>very</strong> <strong>high level
 </strong> treatment of these topics\, synthesis of concepts and their appl
 ication to solving problems.</p>\n<p>Following this there will a general d
 iscussion\, Q&amp\;A and update on the current state of landscape (recent 
 major annoucenments will be also shared)</p>\n<p>&nbsp\;</p><br /><br />Ag
 enda: <br /><p><span style="font-family: 'courier new'\, courier\, monospa
 ce\; font-size: 12pt\;">6:00 PM - Welcome and Introductions\, Chapter busi
 ness update\, Pizza<br /></span></p>\n<p><span style="font-family: 'courie
 r new'\, courier\, monospace\; font-size: 12pt\;">6:15 PM - Main Presentat
 ion: Data Science - what is this all about??<br /></span></p>\n<p><span st
 yle="font-family: 'courier new'\, courier\, monospace\; font-size: 12pt\;"
 >7:30 PM - Post event discussion\, Q&amp\;A and landscape update <br /></s
 pan></p>\n<p><span style="font-family: 'courier new'\, courier\, monospace
 \; font-size: 12pt\;">7:45 PM - Wrap Up</span></p>\n<p><span style="font-f
 amily: 'courier new'\, courier\, monospace\; font-size: 12pt\;">7:45 to 8 
 PM - Networking&nbsp\;</span></p>\n<p>&nbsp\;</p>
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