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TZID:America/New_York
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DTSTART:20241103T020000
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DTSTART:20250309T020000
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DESCRIPTION:Move beyond the basics and start analyzing real-world research
  data. This 2-hour\, hands-on workshop is designed for researchers\, stud
 ents\, and faculty who have a basic grasp of Python and are ready to tack
 le the "messy" side of data science. Transitioning from basic scripts & n
 otebooks (Python 1) to a professional local development workflow\, we wil
 l use Positron—the new data science IDE from the creators of RStudio—to m
 anage a complete analysis pipeline. Using the OASIS-1 neuroscience datase
 t\, we will work through the practical steps of transforming raw MRI demo
 graphics into research insights. By the end of the session\, we will answ
 er a specific clinical question: Does normalized brain volume differ by d
 ementia rating? By the end of this session\, learners will be able to: Es
 tablish a reproducible research workflow by setting up a local environmen
 t with Positron and virtual environments Load tabular data into a pandas 
 DataFrame and inspect its structure using info()\, head()\, describe()\, 
 and related methods Select specific rows\, columns\, and subsets of data 
 using bracket notation and .loc[] Clean a real-world dataset by handling 
 missing values (dropna()\, fillna())\, renaming columns\, dropping unnece
 ssary columns\, and converting data types Summarize data by grouping and 
 aggregating with groupby() to answer a specific research question Visuali
 ze data distributions and relationships using seaborn (if time permits)\n
 \nAdmission:\nFree\n\nDetails URL:\nhttps://medicine.yale.edu/event/clean
 ing-and-summarizing-data-with-pandas-python-2/\n
DTEND;TZID=America/New_York:20260820T120000
DTSTAMP:20260818T004912Z
DTSTART;TZID=America/New_York:20260820T100000
SEQUENCE:0
STATUS:Confirmed
SUMMARY:Cleaning and Summarizing Data with pandas (Python 2)
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