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DTSTART;TZID=America/New_York:20261107T083000
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DESCRIPTION:Data Science Foundations &amp; Applied Capstone is a full-day\, han
 ds-on workshop designed to introduce participants to the foundations of mo
 dern data science through practical exercises and collaborative problem so
 lving.\n\nParticipants will work with real-world datasets and gain experie
 nce across several stages of the data science workflow\, including data pr
 eparation\, exploratory statistics\, data visualizations\, and application
 s of data science.\n\nThe afternoon will transition from guided instructio
 n to an applied capstone activity. Participants will work in small teams t
 o analyze a provided dataset\, identify meaningful trends\, anomalies\, or
  insights\, and develop a data-backed recommendation. Teams will have flex
 ibility in choosing their approach\, including statistical analysis\, inte
 ractive visualization\, or AI-assisted analysis. Instructors will be avail
 able throughout the session to provide technical guidance and help teams r
 efine their approach.\n\nThe workshop will conclude with short project sho
 wcases\, allowing teams to present their analytical approach\, key finding
 s\, and recommendations to fellow participants.\n\nThis workshop is intend
 ed for participants who are interested in developing practical data scienc
 e skills. Prior advanced experience in data science or artificial intellig
 ence is not required.\n\nWhat to Bring: Please bring a laptop and charger 
 and arrive a few minutes early for setup.\n\nOrganized by IEEE NJ Coast Yo
 ung Professionals. Sponsored by IEEE Young Professionals and the IEEE Foun
 dation.\n\n[]\n\nAgenda: \n8:30 AM – 9:00 AM | Registration &amp; Networking
 \nJoin us at Memorial Hall in room M338 prior to the event kickoff for cof
 fee\, networking\, and registration.\n\n9:00 AM – 10:00 AM | Welcome &amp; K
 eynote\nWelcome remarks\, overview of the workshop\, and setup of the codi
 ng environment and workshop resources. Participants will be guided through
  accessing the tools and notebooks required for the day&#39;s activities.\n\n1
 0:00 AM – 11:00 AM | Module 1: Data and Analytics Foundations\nIntroduct
 ion to working with real-world tabular data using Python and Pandas. Parti
 cipants will explore data loading\, cleaning\, handling missing or malform
 ed data\, and basic descriptive statistics. The exercises will use the NYC
  Energy and Water dataset as an example.\n\n11:00 AM – 12:00 PM | Module
  2: Data Preparation\nParticipants will explore the importance of data pre
 processing in-depth by encountering specific scenarios with malformed data
 . The exercises will use a fictional student survey dataset with data qual
 ity issues commonly found in the real world.\n\n12:00 PM – 1:00 PM | Mod
 ule 3: Data Science in Practice\nThis session covers an accessible introdu
 ction to how data science practitioners approach new problems in everyday 
 life.\n\n1:00 PM – 2:00 PM | Lunch &amp; Networking\nLunch and an informal n
 etworking session. Participants will have an opportunity to interact with 
 instructors and discuss data science career paths\, research opportunities
 \, and real-world applications of data science.\n\n2:00 PM – 3:00 PM | M
 odule 4: Applications of Data Science\nParticipants will learn about commo
 n applications for data science methodologies by engaging with real-world 
 case studies. Participants will also explore various career journeys in th
 e field of data science.\n\n3:00 PM – 3:45 PM | Applied Capstone Finding
 s\nTeams will be exercising their newly acquired skills to identify a mean
 ingful trend\, anomaly\, or insight and develop a data-backed recommendati
 on.\n\n3:45 PM – 4:00 PM | Wrap-Up\nClosing discussion\, key takeaways\,
  resource sharing\, and information for continued learning.\n\nRoom: M338\
 , Bldg: Memorial Hall\, M338\, Memorial Hall\, 200 Ellison St\, Passaic Co
 unty Community College\, Paterson\, New Jersey\, United States\, 07505
LOCATION:Room: M338\, Bldg: Memorial Hall\, M338\, Memorial Hall\, 200 Elli
 son St\, Passaic County Community College\, Paterson\, New Jersey\, United
  States\, 07505
ORGANIZER:kaustav.bhattacharjee@ieee.org
SEQUENCE:27
SUMMARY:Data Science Foundations &amp; Applied Capstone: A Hands-On Beginner Wo
 rkshop
URL;VALUE=URI:https://events.vtools.ieee.org/m/583887
X-ALT-DESC:Description: &lt;br /&gt;&lt;p class=&quot;PDq2pG_selectionAnchorContainer&quot; da
 ta-start=&quot;999&quot; data-end=&quot;1219&quot;&gt;&lt;strong data-start=&quot;999&quot; data-end=&quot;1046&quot;&gt;Da
 ta Science Foundations &amp;amp\; Applied Capstone&lt;/strong&gt; is a full-day\, ha
 nds-on workshop designed to introduce participants to the foundations of m
 odern data science through practical exercises and collaborative problem s
 olving.&lt;/p&gt;\n&lt;p data-start=&quot;1221&quot; data-end=&quot;1773&quot;&gt;Participants will work w
 ith real-world datasets and gain experience across several stages of the d
 ata science workflow\, including data preparation\, exploratory statistics
 \, data visualizations\, and applications of data science.&amp;nbsp\;&lt;/p&gt;\n&lt;p 
 data-start=&quot;1221&quot; data-end=&quot;1773&quot;&gt;The afternoon will transition from guide
 d instruction to an applied capstone activity. Participants will work in s
 mall teams to analyze a provided dataset\, identify meaningful trends\, an
 omalies\, or insights\, and develop a data-backed recommendation. Teams wi
 ll have flexibility in choosing their approach\, including statistical ana
 lysis\, interactive visualization\, or AI-assisted analysis. Instructors w
 ill be available throughout the session to provide technical guidance and 
 help teams refine their approach.&lt;/p&gt;\n&lt;p data-start=&quot;2325&quot; data-end=&quot;2530
 &quot;&gt;The workshop will conclude with short project showcases\, allowing teams
  to present their analytical approach\, key findings\, and recommendations
  to fellow participants.&lt;/p&gt;\n&lt;p data-start=&quot;2532&quot; data-end=&quot;2724&quot;&gt;This wo
 rkshop is intended for participants who are interested in developing pract
 ical data science skills. Prior advanced experience in data science or art
 ificial intelligence is not required.&lt;/p&gt;\n&lt;p data-start=&quot;2532&quot; data-end=&quot;
 2724&quot;&gt;&lt;strong data-start=&quot;0&quot; data-end=&quot;18&quot;&gt;What to Bring:&lt;/strong&gt; Please 
 bring a laptop and charger and arrive a few minutes early for setup.&lt;/p&gt;\n
 &lt;p data-start=&quot;2532&quot; data-end=&quot;2724&quot;&gt;Organized by&amp;nbsp\;IEEE NJ Coast Youn
 g Professionals. Sponsored by IEEE Young Professionals and the IEEE Founda
 tion.&lt;/p&gt;\n&lt;p data-start=&quot;2532&quot; data-end=&quot;2724&quot;&gt;&lt;strong data-start=&quot;150&quot; d
 ata-end=&quot;216&quot; data-is-last-node=&quot;&quot;&gt;&lt;img style=&quot;display: block\; margin-lef
 t: auto\; margin-right: auto\;&quot; src=&quot;https://events.vtools.ieee.org/vtools
 _ui/media/display/b00ac977-c447-4dac-9cda-23329add3068&quot; alt=&quot;&quot; width=&quot;334&quot;
  height=&quot;86&quot;&gt;&lt;/strong&gt;&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p class=&quot;PDq2pG_selec
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 &quot;3254&quot; data-end=&quot;3306&quot;&gt;8:30 AM &amp;ndash\; 9:00 AM | Registration &amp;amp\; Netw
 orking&lt;/strong&gt;&lt;br data-start=&quot;3306&quot; data-end=&quot;3309&quot;&gt;Join us at Memorial H
 all in room M338 prior to the event kickoff for coffee\, networking\, and 
 registration.&lt;/p&gt;\n&lt;p data-start=&quot;3556&quot; data-end=&quot;3921&quot;&gt;&lt;strong data-start
 =&quot;3556&quot; data-end=&quot;3612&quot;&gt;9:00 AM &amp;ndash\; 10:00 AM | Welcome &amp;amp\; Keynote
 &lt;/strong&gt;&lt;br data-start=&quot;3612&quot; data-end=&quot;3615&quot;&gt;Welcome remarks\, overview 
 of the workshop\, and setup of the coding environment and workshop resourc
 es. Participants will be guided through accessing the tools and notebooks 
 required for the day&#39;s activities.&lt;/p&gt;\n&lt;p data-start=&quot;3556&quot; data-end=&quot;392
 1&quot;&gt;&lt;strong data-start=&quot;3556&quot; data-end=&quot;3612&quot;&gt;10:00 AM &amp;ndash\; 11:00 AM | 
 Module 1: Data and Analytics Foundations&lt;/strong&gt;&lt;br data-start=&quot;3612&quot; dat
 a-end=&quot;3615&quot;&gt;Introduction to working with real-world tabular data using Py
 thon and Pandas. Participants will explore data loading\, cleaning\, handl
 ing missing or malformed data\, and basic descriptive statistics. The exer
 cises will use the NYC Energy and Water dataset as an example.&lt;/p&gt;\n&lt;p dat
 a-start=&quot;3923&quot; data-end=&quot;4282&quot;&gt;&lt;strong data-start=&quot;3923&quot; data-end=&quot;3987&quot;&gt;1
 1:00 AM &amp;ndash\; 12:00 PM | Module 2: Data Preparation&lt;/strong&gt;&lt;br data-st
 art=&quot;3987&quot; data-end=&quot;3990&quot;&gt;Participants will explore the importance of dat
 a preprocessing in-depth by encountering specific scenarios with malformed
  data.&amp;nbsp\; The exercises will use a fictional student survey dataset wi
 th data quality issues commonly found in the real world.&lt;/p&gt;\n&lt;p data-star
 t=&quot;4284&quot; data-end=&quot;4604&quot;&gt;&lt;strong data-start=&quot;4284&quot; data-end=&quot;4352&quot;&gt;12:00 P
 M &amp;ndash\; 1:00 PM | Module 3: Data Science in Practice&lt;/strong&gt;&lt;br data-s
 tart=&quot;4352&quot; data-end=&quot;4355&quot;&gt;This session covers an accessible introduction
  to how data science practitioners approach new problems in everyday life.
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 end=&quot;4648&quot;&gt;1:00 PM &amp;ndash\; 2:00 PM | Lunch &amp;amp\; Networking&lt;/strong&gt;&lt;br 
 data-start=&quot;4648&quot; data-end=&quot;4651&quot;&gt;Lunch and an informal networking session
 . Participants will have an opportunity to interact with instructors and d
 iscuss data science career paths\, research opportunities\, and real-world
  applications of data science.&lt;/p&gt;\n&lt;p data-start=&quot;4606&quot; data-end=&quot;4907&quot;&gt;&lt;
 strong data-start=&quot;4284&quot; data-end=&quot;4352&quot;&gt;2:00 PM &amp;ndash\; 3:00 PM | Module
  4: Applications of Data Science&lt;/strong&gt;&lt;br data-start=&quot;4352&quot; data-end=&quot;4
 355&quot;&gt;Participants will learn about common applications for data science me
 thodologies by engaging with real-world case studies.&amp;nbsp\; Participants 
 will also explore various career journeys in the field of data science.&lt;/p
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 =&quot;4957&quot;&gt;3:00 PM &amp;ndash\; 3:45 PM | Applied Capstone Findings&lt;/strong&gt;&lt;br d
 ata-start=&quot;4957&quot; data-end=&quot;4960&quot;&gt;Teams will be exercising their newly acqu
 ired skills to identify a meaningful trend\, anomaly\, or insight and deve
 lop a data-backed recommendation.&lt;/p&gt;\n&lt;p data-start=&quot;5644&quot; data-end=&quot;5822
 &quot;&gt;&lt;strong data-start=&quot;5644&quot; data-end=&quot;5687&quot;&gt;3:45 PM &amp;ndash\; 4:00 PM | Wra
 p-Up&lt;/strong&gt;&lt;br data-start=&quot;5687&quot; data-end=&quot;5690&quot;&gt;Closing discussion\, ke
 y takeaways\, resource sharing\, and information for continued learning.&lt;/
 p&gt;
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