BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Asia/Kolkata
BEGIN:STANDARD
DTSTART:19451014T230000
TZOFFSETFROM:+0630
TZOFFSETTO:+0530
TZNAME:IST
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BEGIN:VEVENT
DTSTAMP:20220519T111316Z
UID:7CA5E2E7-7B3B-4EE6-9FDF-CDB95BCF7BED
DTSTART;TZID=Asia/Kolkata:20220425T093000
DTEND;TZID=Asia/Kolkata:20220430T170000
DESCRIPTION:About the training: The training was having aim to provide Hand
 s-on training in R programming language for Data Analytics. By the end of 
 the training\, the participants were comfortable with the usage of the R e
 nvironment\, including importing external data\, manipulating data for spe
 cific needs\, and running statistics\, visualizations\, and important mach
 ine learning algorithms for descriptive or predictive analysis.\n\nTrainin
 g name: Essentials of Data analytics using R\n\nDated: April 25\, 2022 –
  April 30\, 2022\n\nTarget Batch: CS 2nd Yr\n\nNo. of sessions per day: 2(
 9:30 am -1:00 pm) (2:00 pm- 5:00 pm)\n\nTotal training hours: 42\n\nWhat d
 id the training cover?\n\n- Download and install R and RStudio\n- navigate
  and optimize the R integrated development environment (IDE) RStudio\n- in
 stall and load add-in packages\, import external data into R for data proc
 essing and statistical analysis\n- learn the main R data structures – ve
 ctor and data frame\n- compute basic summary statistics\n- produce data vi
 sualizations with the ggplot package\n- use of essential machine learning 
 algorithms for descriptive or predictive data analysis\n\nKey Points:\n\n-
  The delivery of the content was very good and the trainers were excellent
 ly co-operative with the students during all the sessions.\n- Quizzes\, As
 signments\, and tasks were effective in making the concepts clearer and mo
 re understandable.\n\nWhat is expected next:\n\n- We wish to participate m
 ore in such events where we can learn more and acquire more knowledge abou
 t the various fields of computer science.\n\nCertification &amp; Recognition:\
 n\n- Participant’s gone through a proctored MCQ exam from IIT Bombay Spo
 ken Tutorial and performed well as earned certificates\n\nSummary:\n\n- Ov
 erall\, the training was a successful event where students learned various
  aspects of Data Analytics\, AI &amp; ML using R.\n\nSpeaker(s): Mr. Aman Kuma
 r\, \n\nAgenda: \nEssentials of Data Analytics\n\nCore R\n\nR for Data Ana
 lytics\n\nBldg: RIT ROORKEE\, 8th Km Dehradun Road Puhana Roorkee\, Roorke
 e\, Uttaranchal\, India\, 247667
LOCATION:Bldg: RIT ROORKEE\, 8th Km Dehradun Road Puhana Roorkee\, Roorkee\
 , Uttaranchal\, India\, 247667
ORGANIZER:researchcell@ritroorkee.com
SEQUENCE:2
SUMMARY:One week training on &quot;Essentials of Data Analytics Using R&quot; under I
 ndustry 4.0 Training Bootcamp in association with RIT IEEE STUDENT Branch(
 STB11763) and RIT R&amp;D Cell 
URL;VALUE=URI:https://events.vtools.ieee.org/m/314954
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;strong&gt;About the training&lt;/strong&gt;:&lt;stron
 g&gt; &lt;/strong&gt;The training was having aim to provide Hands-on training in R 
 programming language for Data Analytics. By the end of the training\, the 
 participants were comfortable with the usage of the R environment\, includ
 ing importing external data\, manipulating data for specific needs\, and r
 unning statistics\, visualizations\, and important machine learning algori
 thms for descriptive or predictive analysis.&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;Training name
 :&lt;/strong&gt; &amp;nbsp\;Essentials of Data analytics using R&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;Dat
 ed:&lt;/strong&gt; April 25\, 2022 &amp;ndash\; April 30\, 2022&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;Targ
 et Batch: CS 2&lt;sup&gt;nd&lt;/sup&gt; Yr&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;No. of sessions pe
 r day:&lt;/strong&gt; 2(9:30 am -1:00 pm) (2:00 pm- 5:00 pm)&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;Tot
 al training hours:&lt;/strong&gt; 42&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;What did the training cover
 ?&lt;/strong&gt;&lt;/p&gt;\n&lt;ul&gt;\n&lt;li&gt;Download and install R and RStudio&lt;/li&gt;\n&lt;li&gt;nav
 igate and optimize the R integrated development environment (IDE) RStudio&lt;
 /li&gt;\n&lt;li&gt;install and load add-in packages\, import external data into R f
 or data processing and statistical analysis&lt;/li&gt;\n&lt;li&gt;learn the main R dat
 a structures &amp;ndash\; vector and data frame&lt;/li&gt;\n&lt;li&gt;compute basic summar
 y statistics&lt;/li&gt;\n&lt;li&gt;produce data visualizations with the ggplot package
 &lt;/li&gt;\n&lt;li&gt;use of essential machine learning algorithms for descriptive or
  predictive data analysis&lt;/li&gt;\n&lt;/ul&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;Key Poin
 ts:&lt;/strong&gt;&lt;/p&gt;\n&lt;ul&gt;\n&lt;li&gt;The delivery of the content was very good and 
 the trainers were excellently co-operative with the students during all th
 e sessions.&lt;/li&gt;\n&lt;li&gt;Quizzes\, Assignments\, and tasks were effective in 
 making the concepts clearer and more understandable.&lt;/li&gt;\n&lt;/ul&gt;\n&lt;p&gt;&amp;nbsp
 \;&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;What is expected next:&lt;/strong&gt;&lt;/p&gt;\n&lt;ul&gt;\n&lt;li&gt;We wish 
 to participate more in such events where we can learn more and acquire mor
 e knowledge about the various fields of computer science.&lt;/li&gt;\n&lt;/ul&gt;\n&lt;p&gt;
 &lt;strong&gt;Certification &amp;amp\; Recognition:&lt;/strong&gt;&lt;/p&gt;\n&lt;ul&gt;\n&lt;li&gt;Particip
 ant&amp;rsquo\;s gone through a proctored MCQ exam from IIT Bombay Spoken Tuto
 rial and performed well as earned certificates&lt;/li&gt;\n&lt;/ul&gt;\n&lt;p&gt;&lt;strong&gt;Sum
 mary:&lt;/strong&gt;&lt;/p&gt;\n&lt;ul&gt;\n&lt;li&gt;Overall\, the training was a successful even
 t where students learned various aspects of Data Analytics\, AI &amp;amp\; ML 
 using R.&lt;/li&gt;\n&lt;/ul&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;b
 r /&gt;&lt;p&gt;Essentials of Data Analytics&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;Core R&lt;/p&gt;\n&lt;p&gt;R for Da
 ta Analytics&lt;/p&gt;
END:VEVENT
END:VCALENDAR

