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CALSCALE:GREGORIAN
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TZID:Asia/Riyadh
BEGIN:DAYLIGHT
DTSTART:20380119T061407
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TZOFFSETTO:+0300
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DTSTART:19470313T235308
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BEGIN:VEVENT
DTSTAMP:20250330T101512Z
UID:2AF72B6B-FE2B-40F3-BCC1-46D2C4319E71
DTSTART;TZID=Asia/Riyadh:20250425T200000
DTEND;TZID=Asia/Riyadh:20250425T213000
DESCRIPTION:Workshop Series Introduction\n\nThis workshop is one of a serie
 s of workshops that aim to enhance understanding of data modeling processe
 s for those interested in artificial intelligence and machine learning. Sp
 ecifically\, it is designed to prepare participants for the first edition 
 of the upcoming [IEEEModelthon 1.0](https://events.vtools.ieee.org/m/44393
 8) on [Kaggle](https://www.kaggle.com/).\n\nWorkshop Overview\n\nIn this w
 orkshop\, you will learn about different types of data sources\, methods o
 f reading them\, and how to represent them in their final form to be ready
  for further data exploration in the next stage.\n\nPurpose\n\nPrimarily\,
  it will cover reading data from relational databases\, data in tabular fo
 rmat (csv\, Excel\, tsv\, etc.)\, and web scraping. This workshop is ideal
  for beginners to intermediate learners eager to understand the initial st
 eps of the data science process.\n\nObjective and Outcome\n\nThis workshop
  is essential for anyone in a data-driven field. It introduces methods for
  reading data of various types from their sources\, whether from relationa
 l databases\, websites (web scraping)\, text from an article\, Excel file\
 , etc.\, and representing it in its final form so that it is ready for pro
 cessing in the next step.\n\nFor more information about the IEEEModelthon 
 1.0\, click [here](https://events.vtools.ieee.org/m/443938).\n\nVirtual: h
 ttps://events.vtools.ieee.org/m/443883
LOCATION:Virtual: https://events.vtools.ieee.org/m/443883
ORGANIZER:ieee.computersociety.aabu@gmail.com
SEQUENCE:87
SUMMARY:Pandas Essentials: Data Loading &amp; Storage
URL;VALUE=URI:https://events.vtools.ieee.org/m/443883
X-ALT-DESC:Description: &lt;br /&gt;&lt;h3&gt;&lt;strong&gt;Workshop Series Introduction&lt;br&gt;&lt;
 /strong&gt;&lt;/h3&gt;\n&lt;p&gt;This workshop is one of a series of workshops that aim t
 o enhance understanding of data modeling processes for those interested in
  artificial intelligence and machine learning. Specifically\, it is design
 ed to prepare participants for the first edition of the upcoming &lt;a title=
 &quot;IEEEModelthon 1.0&quot; href=&quot;https://events.vtools.ieee.org/m/443938&quot; target=
 &quot;_blank&quot; rel=&quot;noopener&quot;&gt;&lt;strong&gt;IEEEModelthon 1.0&lt;/strong&gt;&lt;/a&gt; on &lt;a title
 =&quot;Kaggle&quot; href=&quot;https://www.kaggle.com/&quot; target=&quot;_blank&quot; rel=&quot;noopener&quot;&gt;&lt;s
 trong&gt;Kaggle&lt;/strong&gt;&lt;/a&gt;.&lt;/p&gt;\n&lt;h3&gt;&lt;br&gt;&lt;strong&gt;Workshop Overview&lt;/strong&gt;
 &lt;/h3&gt;\n&lt;p&gt;In this workshop\, you will learn about different types of data 
 sources\, methods of reading them\, and how to represent them in their fin
 al form to be ready for &lt;strong&gt;further data exploration&lt;/strong&gt;&amp;nbsp\;in
  the next stage.&lt;/p&gt;\n&lt;h3&gt;&lt;br&gt;&lt;strong&gt;Purpose&lt;/strong&gt;&lt;/h3&gt;\n&lt;p&gt;Primarily\
 , it will cover reading data from&amp;nbsp\;&lt;strong&gt;relational databases&lt;/stro
 ng&gt;\, data in &lt;strong&gt;tabular format&lt;/strong&gt; (csv\, Excel\, tsv\, etc.)\,
  and &lt;strong&gt;web scraping&lt;/strong&gt;. This workshop is ideal for beginners t
 o intermediate learners eager to understand the initial steps of the data 
 science process.&lt;/p&gt;\n&lt;h3&gt;&lt;strong&gt;&lt;br&gt;Objective and Outcome&lt;/strong&gt;&lt;/h3&gt;\
 n&lt;p&gt;This workshop is essential for anyone in a data-driven field. It intro
 duces methods for reading data of various types from their sources\, wheth
 er from relational databases\, websites (web scraping)\, text from an arti
 cle\, Excel file\, etc.\, and representing it in its final form so that it
  is ready for &lt;strong&gt;processing&lt;/strong&gt; in the next step.&lt;br&gt;&lt;br&gt;&lt;br&gt;For
  more information about the&amp;nbsp\;&lt;strong&gt;IEEEModelthon 1.0&lt;/strong&gt;\, cli
 ck &lt;a title=&quot;IEEEModelthon1.0&quot; href=&quot;https://events.vtools.ieee.org/m/4439
 38&quot; target=&quot;_blank&quot; rel=&quot;noopener&quot;&gt;here&lt;/a&gt;.&lt;/p&gt;
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