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BEGIN:VEVENT
DTSTART:20240513T203000Z
DTEND:20240513T220000Z
DTSTAMP:20240513T000000Z
SUMMARY:Python Data Science Fundamentals
DESCRIPTION:This four-part workshop series on data science fundamentals in 
 Pandas is designed to follow our Introduction to Python courses (or another 
 introductory Python course such as CS 122). Participants will develop the 
 skills they need to clean\, analyze\, and visualize tabular data in Python 
 by working through hands-on exercises with real data.\n\nTopics covered 
 include:\n\n          Importing data from CSVs\, Excel files\, and the 
 web\n          Altering\, pivoting\, and reshaping data in Pandas\n         
  Grouping and aggregation with Pandas dataframes\n          Applying 
 functions to dataframes\n          Correcting common errors in tabular 
 data\n          Visualizing data in MatplotLib\n\nFamiliarity with 
 variables\, functions\, and data types in Python is assumed. As a 
 refresher\, we recommend reviewing the Software Carpentries Python 
 curriculum.\n\nCome 15 minutes early or schedule a quick appointment with 
 Data Services if you need help configuring your Python environment before 
 the first session starts.\n
LOCATION:Knight DREAM Lab Workshop Space (122)
ORGANIZER;CN="Erin Winter":MAILTO:emwin@uoregon.edu
CATEGORIES:Python, Visualization, Workshop
CONTACT;CN="Erin Winter":MAILTO:emwin@uoregon.edu
STATUS:CONFIRMED
UID:LibCal-12226242
URL:https://uoregon.libcal.com/event/12226242
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BEGIN:VEVENT
DTSTART:20240515T203000Z
DTEND:20240515T220000Z
DTSTAMP:20240515T000000Z
SUMMARY:Python Data Science Fundamentals
DESCRIPTION:This four-part workshop series on data science fundamentals in 
 Pandas is designed to follow our Introduction to Python courses (or another 
 introductory Python course such as CS 122). Participants will develop the 
 skills they need to clean\, analyze\, and visualize tabular data in Python 
 by working through hands-on exercises with real data.\n\nTopics covered 
 include:\n\n          Importing data from CSVs\, Excel files\, and the 
 web\n          Altering\, pivoting\, and reshaping data in Pandas\n         
  Grouping and aggregation with Pandas dataframes\n          Applying 
 functions to dataframes\n          Correcting common errors in tabular 
 data\n          Visualizing data in MatplotLib\n\nFamiliarity with 
 variables\, functions\, and data types in Python is assumed. As a 
 refresher\, we recommend reviewing the Software Carpentries Python 
 curriculum.\n\nCome 15 minutes early or schedule a quick appointment with 
 Data Services if you need help configuring your Python environment before 
 the first session starts.\n
LOCATION:Knight DREAM Lab Workshop Space (122)
ORGANIZER;CN="Erin Winter":MAILTO:emwin@uoregon.edu
CATEGORIES:Python, Visualization, Workshop
CONTACT;CN="Erin Winter":MAILTO:emwin@uoregon.edu
STATUS:CONFIRMED
UID:LibCal-12226243
URL:https://uoregon.libcal.com/event/12226243
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BEGIN:VEVENT
DTSTART:20240520T203000Z
DTEND:20240520T220000Z
DTSTAMP:20240520T000000Z
SUMMARY:Python Data Science Fundamentals
DESCRIPTION:This four-part workshop series on data science fundamentals in 
 Pandas is designed to follow our Introduction to Python courses (or another 
 introductory Python course such as CS 122). Participants will develop the 
 skills they need to clean\, analyze\, and visualize tabular data in Python 
 by working through hands-on exercises with real data.\n\nTopics covered 
 include:\n\n          Importing data from CSVs\, Excel files\, and the 
 web\n          Altering\, pivoting\, and reshaping data in Pandas\n         
  Grouping and aggregation with Pandas dataframes\n          Applying 
 functions to dataframes\n          Correcting common errors in tabular 
 data\n          Visualizing data in MatplotLib\n\nFamiliarity with 
 variables\, functions\, and data types in Python is assumed. As a 
 refresher\, we recommend reviewing the Software Carpentries Python 
 curriculum.\n\nCome 15 minutes early or schedule a quick appointment with 
 Data Services if you need help configuring your Python environment before 
 the first session starts.\n
LOCATION:Knight DREAM Lab Workshop Space (122)
ORGANIZER;CN="Erin Winter":MAILTO:emwin@uoregon.edu
CATEGORIES:Python, Visualization, Workshop
CONTACT;CN="Erin Winter":MAILTO:emwin@uoregon.edu
STATUS:CONFIRMED
UID:LibCal-12226244
URL:https://uoregon.libcal.com/event/12226244
X-MICROSOFT-CDO-BUSYSTATUS:BUSY
BEGIN:VALARM
TRIGGER:-PT15M
ACTION:DISPLAY
DESCRIPTION:Reminder
END:VALARM
END:VEVENT
BEGIN:VEVENT
DTSTART:20240522T203000Z
DTEND:20240522T220000Z
DTSTAMP:20240522T000000Z
SUMMARY:Python Data Science Fundamentals
DESCRIPTION:This four-part workshop series on data science fundamentals in 
 Pandas is designed to follow our Introduction to Python courses (or another 
 introductory Python course such as CS 122). Participants will develop the 
 skills they need to clean\, analyze\, and visualize tabular data in Python 
 by working through hands-on exercises with real data.\n\nTopics covered 
 include:\n\n          Importing data from CSVs\, Excel files\, and the 
 web\n          Altering\, pivoting\, and reshaping data in Pandas\n         
  Grouping and aggregation with Pandas dataframes\n          Applying 
 functions to dataframes\n          Correcting common errors in tabular 
 data\n          Visualizing data in MatplotLib\n\nFamiliarity with 
 variables\, functions\, and data types in Python is assumed. As a 
 refresher\, we recommend reviewing the Software Carpentries Python 
 curriculum.\n\nCome 15 minutes early or schedule a quick appointment with 
 Data Services if you need help configuring your Python environment before 
 the first session starts.\n
LOCATION:Knight DREAM Lab Workshop Space (122)
ORGANIZER;CN="Erin Winter":MAILTO:emwin@uoregon.edu
CATEGORIES:Python, Visualization, Workshop
CONTACT;CN="Erin Winter":MAILTO:emwin@uoregon.edu
STATUS:CONFIRMED
UID:LibCal-12226245
URL:https://uoregon.libcal.com/event/12226245
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