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UID:20250401T221315EDT-9603ldUaE4@132.216.98.100
DTSTAMP:20250402T021315Z
DESCRIPTION:Overview: In thisworkshop\, we will delve into the art of condu
 cting Exploratory Data Analysis (EDA) on a given dataset. EDA encompasses 
 a broad spectrum of critical data analysis components\, which include\, bu
 t are not restricted to\, the following:\n\n\n	Data Preprocessing: This enc
 ompasses activities such as data cleaning\, summarization\, and wrangling\
 , ensuring that the dataset is in a usable and informative state.\n	Data Vi
 sualization: EDA entails univariate\, bivariate\, and multivariate analyse
 s\, employing various visualization techniques to unveil underlying patter
 ns and relationships within the data.\n	Hypothesis Formulation: EDA aids in
  the generation of hypotheses\, setting the stage for further testing and 
 validation through statistical techniques.\n	Time Series Analysis: For data
 sets with temporal aspects\, EDA includes the examination of trends\, seas
 onality\, and patterns over time\, providing insights into data evolution.
 \n	Feature Selection: Identifying and selecting the most relevant features 
 is a crucial step in EDA\, as it can significantly impact the success of s
 ubsequent analyses and modeling.\n\n\nBy the end of this workshop\, studen
 ts will have a solid foundation in conducting EDA\, a vital skill in the r
 ealm of data analysis and decision-making.\n\nPrerequisites:\n\n- Introduc
 tory knowledge of Python\n\n-You need to bring your own laptop for this wo
 rkshop. Install Anaconda on your computer. You can find installation instr
 uctions here. Please contact us (cdsi.science at mcgill.ca) if you are hav
 ing trouble with installation.\n\nInstructor: Kiwon Lee\, Faculty Lecturer
 \, Department of Mathematics & Statistics\n\nLocation: HYBRID. Online via 
 Zoom\, or in-person at Burnside Hall room 1104\n\nRegistration: Register H
 ere\n
DTSTART:20250226T150000Z
DTEND:20250226T170000Z
SUMMARY:Exploratory Data Analysis in Python	
URL:/cdsi/channels/event/exploratory-data-analysis-pyt
 hon-364045
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