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VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
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TZID:Asia/Kolkata
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DTSTART:19451014T230000
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TZOFFSETTO:+0530
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BEGIN:VEVENT
DTSTAMP:20240719T095340Z
UID:425C2CC3-2C5A-42F7-96E9-46DF3DEB9A9A
DTSTART;TZID=Asia/Kolkata:20240704T090000
DTEND;TZID=Asia/Kolkata:20240710T150000
DESCRIPTION:The MCA Department at LDRP Institute of Technology & Research i
 s excited to announce a Short Term Training Program (STTP) on "Essential P
 ython Libraries for Data Visualization and Data Analysis." This specialize
 d program is designed to equip participants with critical skills in levera
 ging Python libraries for effective data handling and visualization. With 
 the growing importance of data in various fields\, this program aims to en
 hance the proficiency of students and teachers in using tools like Pandas\
 , Matplotlib\, and Seaborn to interpret and present data efficiently.\n\nP
 articipants will benefit from a comprehensive curriculum that covers the e
 ssential aspects of data visualization and analysis. The program will incl
 ude hands-on sessions\, real-world examples\, and interactive discussions\
 , enabling attendees to gain practical experience and deepen their underst
 anding of these powerful Python libraries. By the end of the training\, pa
 rticipants will have the confidence and skills to apply these tools in the
 ir academic and professional projects\, making data-driven decisions with 
 ease.\n\nLimited seats are available\, so interested students and teachers
  are encouraged to register early to secure their spot. Detailed schedules
  and specific session topics will be shared with registered members prior 
 to the commencement of the program\, ensuring a tailored and structured le
 arning journey. This STTP represents a valuable opportunity for participan
 ts to advance their technical expertise in data analysis and visualization
  within an academic setting\, fostering a deeper appreciation for the role
  of data in today's world.\n\n[STTP]\n\nBldg: Shift 1\, LDRP Institute of 
 Technology & Research\, Near Kh5 Circle\, Gandhinagar\, Gujarat\, India\, 
 382016
LOCATION:Bldg: Shift 1\, LDRP Institute of Technology & Research\, Near Kh5
  Circle\, Gandhinagar\, Gujarat\, India\, 382016
ORGANIZER:ashish_ce@ldrp.ac.in
SEQUENCE:40
SUMMARY:Essential Python Libraries for Data Visualization and Data Analysis
URL;VALUE=URI:https://events.vtools.ieee.org/m/426289
X-ALT-DESC:Description: <br /><div style="display: flex\; align-items: flex
 -start\;">\n<div style="flex: 3\; margin-right: 20px\;">\n<p>The MCA Depar
 tment at LDRP Institute of Technology &amp\; Research is excited to announ
 ce a Short Term Training Program (STTP) on "Essential Python Libraries for
  Data Visualization and Data Analysis." This specialized program is design
 ed to equip participants with critical skills in leveraging Python librari
 es for effective data handling and visualization. With the growing importa
 nce of data in various fields\, this program aims to enhance the proficien
 cy of students and teachers in using tools like Pandas\, Matplotlib\, and 
 Seaborn to interpret and present data efficiently.</p>\n<p>Participants wi
 ll benefit from a comprehensive curriculum that covers the essential aspec
 ts of data visualization and analysis. The program will include hands-on s
 essions\, real-world examples\, and interactive discussions\, enabling att
 endees to gain practical experience and deepen their understanding of thes
 e powerful Python libraries. By the end of the training\, participants wil
 l have the confidence and skills to apply these tools in their academic an
 d professional projects\, making data-driven decisions with ease.</p>\n<p>
 Limited seats are available\, so interested students and teachers are enco
 uraged to register early to secure their spot. Detailed schedules and spec
 ific session topics will be shared with registered members prior to the co
 mmencement of the program\, ensuring a tailored and structured learning jo
 urney. This STTP represents a valuable opportunity for participants to adv
 ance their technical expertise in data analysis and visualization within a
 n academic setting\, fostering a deeper appreciation for the role of data 
 in today's world.</p>\n</div>\n<div style="flex: 2\; border: 2px solid #00
 0\;"><img style="max-width: 100%\; height: auto\;" src="https://events.vto
 ols.ieee.org/vtools_ui/media/display/04dcef00-8391-4584-91f0-6d3088f0481c"
  alt="STTP"></div>\n</div>
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