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DTSTAMP:20260925T025155Z
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DTSTART;TZID=America/New_York:20260926T093000
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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 and exploratory statistics\, interactive data visualization\, an
 d an introduction to applied artificial intelligence and Large Language Mo
 dels (LLMs). The workshop will introduce concepts such as Retrieval-Augmen
 ted Generation (RAG) and provide participants with an opportunity to exper
 iment with LLM APIs through guided exercises.\n\nThe afternoon will transi
 tion from guided instruction to an applied capstone activity. Participants
  will work in small teams to analyze a provided dataset\, identify meaning
 ful trends\, anomalies\, or insights\, and develop a data-backed recommend
 ation. Teams will have flexibility in choosing their approach\, including 
 statistical analysis\, interactive visualization\, or AI-assisted analysis
 . Instructors will be available throughout the session to provide technica
 l guidance and help teams refine their approach.\n\nThe workshop will conc
 lude with short project showcases\, allowing teams to present their analyt
 ical approach\, key findings\, and recommendations to fellow participants.
 \n\nThis workshop is intended for participants who are interested in devel
 oping practical data science skills. Prior advanced experience in data sci
 ence or artificial intelligence is not required.\n\nWhat to Bring: Please 
 bring a laptop and charger and arrive a few minutes early for setup.\n\nOr
 ganized by IEEE NJ Coast Young Professionals. Sponsored by IEEE Young Prof
 essionals and the IEEE Foundation.\n\n[]\n\n***CANCELED***\n\nAgenda: \n9:
 30 AM – 10:00 AM | Welcome &amp; Environment Setup\nWelcome remarks\, overvi
 ew of the workshop\, and setup of the coding environment and workshop reso
 urces. Participants will be guided through accessing the tools and noteboo
 ks required for the day&#39;s activities.\n\n10:00 AM – 11:00 AM | Module 1:
  Making Sense of Data\nIntroduction to working with real-world tabular dat
 a using Python and Pandas. Participants will explore data loading\, cleani
 ng\, handling missing or malformed 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: Interactive Visual Analytics\nParticip
 ants will move beyond static charts and explore interactive data visualiza
 tion. The session will cover techniques for visually exploring relationshi
 ps\, filtering data\, and identifying patterns and outliers using interact
 ive visualization tools.\n\n12:00 PM – 1:00 PM | Module 3: Introduction 
 to Applied AI &amp; LLMs\nAn accessible introduction to Generative AI\, embedd
 ings\, Retrieval-Augmented Generation (RAG)\, and LLM APIs. Participants w
 ill complete a guided exercise using an LLM API to perform a structured an
 alysis task.\n\n1:00 PM – 2:00 PM | Lunch &amp; Networking\nLunch and an inf
 ormal networking session. Participants will have an opportunity to interac
 t with instructors and discuss data science career paths\, research opport
 unities\, and real-world applications of data science.\n\n2:00 PM – 2:30
  PM | Applied Capstone Kickoff\nIntroduction to the capstone dataset and p
 roject objectives. Teams will be challenged to identify a meaningful trend
 \, anomaly\, or insight and develop a data-backed recommendation.\n\n2:30 
 PM – 4:15 PM | Supervised Team Hacking\nParticipants will work collabora
 tively in small teams while instructors provide guidance on data analysis\
 , visualization\, AI techniques\, and troubleshooting.\n\n4:15 PM – 4:45
  PM | Peer Project Showcases\nTeams will deliver short lightning presentat
 ions highlighting their analytical approach\, key findings\, and recommend
 ations.\n\n4:45 PM – 5:00 PM | Synthesis &amp; Wrap-Up\nClosing discussion\,
  key takeaways\, resource sharing\, and information for continued learning
 .\n\nRoom: H306\, Bldg: Hamilton Hall\, 188 Ellison Street\, Passaic Count
 y Community College\, Paterson\, New Jersey\, United States\, 07505
LOCATION:Room: H306\, Bldg: Hamilton Hall\, 188 Ellison Street\, Passaic Co
 unty Community College\, Paterson\, New Jersey\, United States\, 07505
ORGANIZER:kaustav.bhattacharjee@ieee.org
SEQUENCE:31
SUMMARY:Data Science Foundations &amp; Applied Capstone: A Hands-On Beginner Wo
 rkshop
URL;VALUE=URI:https://events.vtools.ieee.org/m/574680
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 and exploratory statisti
 cs\, interactive data visualization\, and an introduction to applied artif
 icial intelligence and Large Language Models (LLMs). The workshop will int
 roduce concepts such as Retrieval-Augmented Generation (RAG) and provide p
 articipants with an opportunity to experiment with LLM APIs through guided
  exercises.&lt;/p&gt;\n&lt;p data-start=&quot;1775&quot; data-end=&quot;2323&quot;&gt;The afternoon will t
 ransition from guided instruction to an applied capstone activity. Partici
 pants will work in small teams to analyze a provided dataset\, identify me
 aningful trends\, anomalies\, or insights\, and develop a data-backed reco
 mmendation. Teams will have flexibility in choosing their approach\, inclu
 ding statistical analysis\, interactive visualization\, or AI-assisted ana
 lysis. Instructors will be available throughout the session to provide tec
 hnical 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 showca
 ses\, 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; dat
 a-end=&quot;2724&quot;&gt;This workshop is intended for participants who are interested
  in developing practical data science skills. Prior advanced experience in
  data science or artificial intelligence is not required.&lt;/p&gt;\n&lt;p data-sta
 rt=&quot;2532&quot; data-end=&quot;2724&quot;&gt;&lt;strong data-start=&quot;0&quot; data-end=&quot;18&quot;&gt;What to Bri
 ng:&lt;/strong&gt; Please bring a laptop and charger and arrive a few minutes ea
 rly 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 Young Professionals. Sponsored by IEEE Young Professionals
  and the IEEE Foundation.&lt;/p&gt;\n&lt;p data-start=&quot;2532&quot; data-end=&quot;2724&quot;&gt;&lt;stron
 g data-start=&quot;150&quot; data-end=&quot;216&quot; data-is-last-node=&quot;&quot;&gt;&lt;img style=&quot;display
 : block\; margin-left: auto\; margin-right: auto\;&quot; src=&quot;https://events.vt
 ools.ieee.org/vtools_ui/media/display/b00ac977-c447-4dac-9cda-23329add3068
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 come &amp;amp\; Environment Setup&lt;/strong&gt;&lt;br data-start=&quot;3306&quot; data-end=&quot;3309
 &quot;&gt;Welcome remarks\, overview of the workshop\, and setup of the coding env
 ironment and workshop resources. Participants will be guided through acces
 sing the tools and notebooks required for the day&#39;s activities.&lt;/p&gt;\n&lt;p da
 ta-start=&quot;3556&quot; data-end=&quot;3921&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: Making Sense of Data&lt;/strong&gt;&lt;br da
 ta-start=&quot;3612&quot; data-end=&quot;3615&quot;&gt;Introduction to working with real-world ta
 bular data using Python and Pandas. Participants will explore data loading
 \, cleaning\, handling missing or malformed data\, and basic descriptive s
 tatistics. The exercises will use the NYC Energy and Water dataset as an e
 xample.&lt;/p&gt;\n&lt;p data-start=&quot;3923&quot; data-end=&quot;4282&quot;&gt;&lt;strong data-start=&quot;3923
 &quot; data-end=&quot;3987&quot;&gt;11:00 AM &amp;ndash\; 12:00 PM | Module 2: Interactive Visua
 l Analytics&lt;/strong&gt;&lt;br data-start=&quot;3987&quot; data-end=&quot;3990&quot;&gt;Participants wil
 l move beyond static charts and explore interactive data visualization. Th
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 tering data\, and identifying patterns and outliers using interactive visu
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 ion to Applied AI &amp;amp\; LLMs&lt;/strong&gt;&lt;br data-start=&quot;4352&quot; data-end=&quot;4355
 &quot;&gt;An accessible introduction to Generative AI\, embeddings\, Retrieval-Aug
 mented Generation (RAG)\, and LLM APIs. Participants will complete a guide
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 rt=&quot;4648&quot; data-end=&quot;4651&quot;&gt;Lunch and an informal networking session. Partic
 ipants will have an opportunity to interact with instructors and discuss d
 ata science career paths\, research opportunities\, and real-world applica
 tions of data science.&lt;/p&gt;\n&lt;p data-start=&quot;4909&quot; data-end=&quot;5179&quot;&gt;&lt;strong d
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 he capstone dataset and project objectives. Teams will be challenged to id
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 ing&lt;/strong&gt;&lt;br data-start=&quot;5228&quot; data-end=&quot;5231&quot;&gt;Participants will work c
 ollaboratively in small teams while instructors provide guidance on data a
 nalysis\, visualization\, AI techniques\, and troubleshooting.&lt;/p&gt;\n&lt;p dat
 a-start=&quot;5430&quot; data-end=&quot;5642&quot;&gt;&lt;strong data-start=&quot;5430&quot; data-end=&quot;5476&quot;&gt;4
 :15 PM &amp;ndash\; 4:45 PM | Peer Project Showcases&lt;/strong&gt;&lt;br data-start=&quot;5
 476&quot; data-end=&quot;5479&quot;&gt;Teams will deliver short lightning presentations high
 lighting their analytical approach\, key findings\, and recommendations.&lt;/
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 d=&quot;5687&quot;&gt;4:45 PM &amp;ndash\; 5:00 PM | Synthesis &amp;amp\; Wrap-Up&lt;/strong&gt;&lt;br d
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 urce sharing\, and information for continued learning.&lt;/p&gt;
END:VEVENT
END:VCALENDAR