[math-ias] [rc-announce] Fall 2023 Training Opportunities from Across Campus

Thu Sep 7 12:35:14 EDT 2023

To All,

PICSciE-Research Computing at Princeton University [www.princeton.edu 
<http://www.princeton.edu>] is offering
some classes that may be of interest to you.  Please contact Andrea 
Rubinstein at
alrubins at princeton.edu to register.

-------- Forwarded Message --------
Subject: 	[rc-announce] Fall 2023 Training Opportunities from Across Campus
Date: 	Thu, 7 Sep 2023 15:59:37 +0000
From: 	Jonathan D. Halverson <halverson at PRINCETON.EDU>
Reply-To: 	Jonathan D. Halverson <halverson at PRINCETON.EDU>
To: 	rc-announce at Princeton.EDU

Sending on behalf of the campus partners of PICSciE/RC:

*New Seminar Series in Machine Learning and Physics*

A new seminar series, /Machine Learning in Physics, /focused on 
interdisciplinary work at the intersection of physics and ML:

_What_? A seminar series highlighting research on both physics-inspired 
approaches to understanding ML and the use of ML for physics applications

_When/Where_? Wednesdays 4:30 - 5:30pm in Jadwin Hall, Room A10 with 
light refreshments after the presentation.

_Who_? The speakers for Fall 2023 are as follows:

  * _Sept. 27_: Shirley Ho (Flatiron)
  * _Oct. 4_: Juan Felipe Carrasquilla Alvarez (Vector)
  * _Nov. 1:_ Javier Duarte (UCSD)
  * _Nov. 15_: Phiala Shananan (MIT)
  * _Nov 29_: Andy Leifer (Princeton)

For more details — and to sign up for the seminar mailing list — please 
see the seminar website <https://ml.physics.princeton.edu/>. Questions: 
Boris Hanin, Gage DeZoort, Dan Marlow, Mariangela Lisanti, 
PeterElmer(seminar co-organizers)

------------------------------------------------------------------------

**

*Data and Statistical Services*

The following workshops are from Data and Statistical Services 
<https://library.princeton.edu/dss>. Questions: Muhammad Al Amin 
(alamin at princeton.edu)

*Introduction to Stata* <https://libcal.princeton.edu/event/11263780>**

*Date*: Friday, September 29, 2023

*Time*: 10:30am - 12:00pm

*Location*: Firestone Library - A-6-F

*Description*: This hands-on workshop is intended for beginners. No 
previous knowledge of data analysis and/or Stata is required. The 
session will cover the following topics for Stata: data preparation 
(cleaning, merging, recoding, etc.), descriptive statistics, 
introduction to data visualization, and introduction to linear regression.

*Hardware/software prerequisites*: Please make sure you have access to 
Stata prior to the workshop. Information on accessing Stata can be 
foundhere <https://libguides.princeton.edu/pvd>.

*Introduction to Data Analysis with R* 
<https://libcal.princeton.edu/event/11216484>**

*Date*: Friday, October 6, 2023

*Time*: 10:30am - 12:00pm

*Location*: Firestone Library - A-6-F

*Description*:This workshop is hands-on and intended for beginners; no 
previous knowledge of data analysis and/or R is required. This session 
will cover the following topics for R: data preparation, descriptive 
statistics, introduction to data visualization, and introduction to 
linear regression.

*Hardware/software prerequisites*:Please make sure you have access 
to RStudio prior to the workshop. Information about R/RStudio installing 
the software could be found here. 
<http://www.princeton.edu/~otorres/InstallingRStudio.pdf>

*Introduction to Stata <https://libcal.princeton.edu/event/11263813>*

*Date*: Friday, October 27, 2023

*Time*: 10:30am - 12:00pm

*Location*: Firestone Library - A-6-F

*Description*: This hands-on workshop is intended for beginners. No 
previous knowledge of data analysis and/or Stata is required. The 
session will cover the following topics for Stata: data preparation 
(cleaning, merging, recoding, etc.), descriptive statistics, 
introduction to data visualization, and introduction to linear regression.

*Hardware/software prerequisites*: Please make sure you have access to 
Stata prior to the workshop. Information on accessing Stata can be 
foundhere <https://libguides.princeton.edu/pvd>.

*Introduction to Data Analysis with R 
<https://libcal.princeton.edu/event/11216499>*

*Date*: Friday, November 3, 2023

*Time*: 10:30am - 12:00pm

*Location*: Firestone Library - A-6-F

*Description*:This workshop is hands-on and intended for beginners; no 
previous knowledge of data analysis and/or R is required. This session 
will cover the following topics for R: data preparation, descriptive 
statistics, introduction to data visualization, and introduction to 
linear regression.

*Hardware/software prerequisites*:Please make sure you have access 
to RStudio prior to the workshop. Information about R/RStudio installing 
the software could be found here. 
<http://www.princeton.edu/~otorres/InstallingRStudio.pdf>

*“What statistical methods should I use?”* 
<https://libcal.princeton.edu/event/11216284>**

*Date*: Friday, November 10, 2023

*Time*: 11:00am - 12:00pm

*Location*: Firestone Library - A-6-F

*Description*: You have data but are not sure what different statistical 
methods are available to analyze your data. In addition to linear 
regression and event studies, other methods such as Differences in 
Differences, Fixed Random Effects, and Factor Analysis will be briefly 
discussed. One will not be shown how to perform the analysis (though we 
have many guides for this), but examples of datasets will be given along 
with possibilities for analysis.

*Introduction to Stata <https://libcal.princeton.edu/event/11264288>*

*Date*: Friday, November 17, 2023

*Time*: 1:00pm - 2:30pm

*Location*: Firestone Library - A-6-F

*Description*: This hands-on workshop is intended for beginners. No 
previous knowledge of data analysis and/or Stata is required. The 
session will cover the following topics for Stata: data preparation 
(cleaning, merging, recoding, etc.), descriptive statistics, 
introduction to data visualization, and introduction to linear regression.

*Hardware/software prerequisites*: Please make sure you have access to 
Stata prior to the workshop. Information on accessing Stata can be 
foundhere <https://libguides.princeton.edu/pvd>.

*Introduction to Data Analysis with R 
<https://libcal.princeton.edu/event/11216509>*

*Date*: Friday, December 1, 2023

*Time*: 10:30am - 12:00pm

*Location*: Firestone Library - A-6-F

*Description*:This workshop is hands-on and intended for beginners; no 
previous knowledge of data analysis and/or R is required. This session 
will cover the following topics for R: data preparation, descriptive 
statistics, introduction to data visualization, and introduction to 
linear regression.

*Hardware/software prerequisites*:Please make sure you have access 
to RStudio prior to the workshop. Information about R/RStudio installing 
the software could be found here. 
<http://www.princeton.edu/~otorres/InstallingRStudio.pdf>

Questions: Muhammad Al Amin (alamin at princeton.edu)

------------------------------------------------------------------------

*Center for Digital Humanities*

*
*

See the full list of CDH events <https://cdh.princeton.edu/events/>. 
Questions: Grant Wythoff (gwythoff at princeton.edu)

*Sept 18, 4:30 pm:***You're invited to our*annual CDH Open House 
<https://princeton.us16.list-manage.com/track/click?u=a77a39541c9fc9c8b625cb379&id=cd8e7bde5f&e=477ba78033>*! Join 
us on B-Floor of Firestone Library for light refreshments and learn 
about the CDH’s exciting projects and opportunities for students, 
faculty, and staff. **

**

*Sept 21, 12:00 pm:* Don't miss an*unconventional conversation* 
<https://princeton.us16.list-manage.com/track/click?u=a77a39541c9fc9c8b625cb379&id=87fa136d96&e=477ba78033>with 
media theorists John Durham Peters (Yale) and Shannon Mattern (UPenn). 
The event will be at the CDH, on B-Floor of Firestone. Lunch is 
provided. Space is limited, so be sure toRSVP 
<https://princeton.us16.list-manage.com/track/click?u=a77a39541c9fc9c8b625cb379&id=e88e429848&e=477ba78033>.

*Sept 27, 2:00 pm:*Attentive readers of the CDH newsletter know by now 
that the CDH has launched aGraduate Certificate in Digital Humanities 
<https://princeton.us16.list-manage.com/track/click?u=a77a39541c9fc9c8b625cb379&id=c7aeb40b98&e=477ba78033>. 
Learn more about it at the*Graduate Certificate Information Session* 
<https://princeton.us16.list-manage.com/track/click?u=a77a39541c9fc9c8b625cb379&id=16b2c3ceef&e=477ba78033> on 
B-Floor of Firestone. There will also be a Zoom option—stay tuned. RSVP 
here 
<https://princeton.us16.list-manage.com/track/click?u=a77a39541c9fc9c8b625cb379&id=c53da3f06e&e=477ba78033>.

As ChatGPT and related Large Language Model (LLM) technologies continue 
to be a subject of discussion in higher education and beyond, we are 
pleased to offer a new event series: the*LLM Forum*. Co-organized with 
the Department of Computer Science and with support from the Humanities 
Council, the series kicks off with adiscussion between Meredith 
Whittaker (Signal) and Arvind Narayanan (Computer Science and Center for 
Information Technology Policy) 
<https://princeton.us16.list-manage.com/track/click?u=a77a39541c9fc9c8b625cb379&id=5a3f222b7d&e=477ba78033>on 
October 25 at 4:30 pm in Friend Center 101. On November 8, I will be 
inconversation with Wai Chee Dimock (Yale) 
<https://princeton.us16.list-manage.com/track/click?u=a77a39541c9fc9c8b625cb379&id=94db0c6ea0&e=477ba78033>, 
also at 4:30 pm in Friend Center 101. The LLM Forum builds on the CDH’s 
work with LLMs, including the NEH-supported institute,New Languages for 
NLP: Building Linguistic Diversity in the Digital Humanities 
<https://princeton.us16.list-manage.com/track/click?u=a77a39541c9fc9c8b625cb379&id=4f27351509&e=477ba78033>, 
held in 2021–22, and last year’s symposium onMachine Learning and the 
Future of Philology 
<https://princeton.us16.list-manage.com/track/click?u=a77a39541c9fc9c8b625cb379&id=840998f910&e=477ba78033>, 
co-hosted with theMARBAS 
<https://princeton.us16.list-manage.com/track/click?u=a77a39541c9fc9c8b625cb379&id=e434976715&e=477ba78033>initiative 
(event photos by Shelley Szwast below).

Questions: Grant Wythoff (gwythoff at princeton.edu)

------------------------------------------------------------------------

*Stokes Viz Hub*

See the up-to-date listing of Stokes Viz Hub workshops 
<https://libguides.princeton.edu/c.php?g=961088&p=9919577>. Questions: 
Ofira Schwartz-Soicher (oschwart at princeton.edu)

*Introduction to Programming with R (Zoom)*
Date & Time: 9/15/2023 at 1:30pm - 3:00pm
Instructors: Ameet Doshi, Yufei Qin and Muhammad Al Amin
Location: Zoom
Reserve your spot: 
https://libcal.princeton.edu/calendar/events/Rintrof23 
<https://libcal.princeton.edu/calendar/events/Rintrof23>
Description: This introductory workshop begins with 60 mins of 
interactive instruction about the basics of using R, with a focus on 
data cleaning and preparation for analysis. The instructional portion of 
the session will be followed with 30 mins of self-guided programming 
practice with instructors available for assistance. This workshop will 
be held virtually via Zoom.

*Programming with R: Data Analysis and Visualization (Zoom)*
Date & Time: 9/21/2023 @ 1:30pm - 3:00pm
Instructors: Ameet Doshi, Yufei Qin and Muhammad Al Amin
Location: Zoom
Reserve your spot: 
https://libcal.princeton.edu/calendar/events/Rprogrammingf23 
<https://libcal.princeton.edu/calendar/events/Rprogrammingf23>
Description: This workshop begins with 60 mins of interactive 
instruction about how to conduct regression analysis and visualization 
using R. The interactive instructional portion of the workshop is then 
followed by a self-guided programming practice exercise with instructors 
available for assistance. This workshop will be held virtually via Zoom.
*
*
*Citation Management with Zotero*
Date & Time: 9/28/2023 @ 12:00pm-12:45pm
Instructors: Audrey Welber, Coordinator for Undergraduate Research and 
Instruction
Location: Stokes Viz Hub - Donald E. Stokes Library, Room 070
Reserve your spot: https://libcal.princeton.edu/calendar/events/zoteroaf2023
Description: Zotero is a free, easy-to-use tool for reference 
management. Once we have Zotero installed and running, you will learn 
how to collect your research sources and organize them into a single, 
searchable interface.  We will show you how to create a document and 
insert the footnotes with the click of a button. You will learn how to, 
instantly, create the bibliography in ANY of the popular citation styles.

*Introduction to ArcGIS*
Date & Time: 10/4/2023 @ 10:30am - 12:00pm
Instructor: Wangyal Shawa, Geographic Information Systems Librarian, 
Digital Map and Geospatial Information (GIS) Center
Location: Stokes Viz Hub - Donald E. Stokes Library, Room 070
Reserve your spot: 
https://libcal.princeton.edu/calendar/events/introarcgisf2023
Description: In this introduction to GIS workshop, you will use ArcGIS 
Pro software to explore geographic data, tables and create maps. This 
workshop will also show how to use the GIS Portal site that Princeton 
University Library hosts to add geographic data downloaded over the 
internet, and analyze data and create maps and then share them with the 
public. No previous GIS experience is needed to take this workshop.

*Citation Management with Zotero*
Date & Time: 10/26/2023 @ 12:00pm-12:45pm
Instructors: Audrey Welber, Coordinator for Undergraduate Research and 
Instruction
Location: Stokes Viz Hub - Donald E. Stokes Library, Room 070
Reserve your spot: https://libcal.princeton.edu/calendar/events/zoterobf2023
Description: Zotero is a free, easy-to-use tool for reference 
management. Once we have Zotero installed and running, you will learn 
how to collect your research sources and organize them into a single, 
searchable interface.  We will show you how to create a document and 
insert the footnotes with the click of a button. You will learn how to, 
instantly, create the bibliography in ANY of the popular citation styles.

*Working with R tidyr and dplyr Packages*
Date & Time: 10/27/2023 @ 1:30pm - 3:00pm
Instructor: Boriana Pratt, Statistical Programmer, Office of Population 
Research
Location: Stokes Viz Hub - Donald E. Stokes Library, Room 070
Reserve your spot: 
https://libcal.princeton.edu/calendar/events/Rtidyversef2023 
<https://libcal.princeton.edu/calendar/events/Rtidyversef2023>
Description: This workshop introduces two modern R packages, both part 
of R's "tidyverse" that provide intuitive tools for handling common data 
management tasks. The first package, tidyr, provides functions that 
reshape data. The second package, dplyr, provides a set of functions 
(referred to as "verbs") that allow you to easily subset observations, 
reorder observations, select specific variables, add new variables, 
group observations, and summarize groups of observations.

*Data Analysis with Stata*
Date & Time: 11/3/2023 @ 1:30pm - 3:00pm
Instructor: Ofira Schwartz, Social Sciences Data & Sociology Librarian
Location: Stokes Viz Hub - Donald E. Stokes Library, Room 070
Reserve your spot: 
https://libcal.princeton.edu/calendar/events/introstataf2023
Description: Are you new to data analysis and/or Stata? Are you 
interested in using Stata for your research project? During this 
hands-on workshop will discuss data preparation (cleaning, merging, 
recoding, etc.), descriptive statistics, introduction to data 
visualization, and introduction to linear regression. No previous 
knowledge of data analysis and/or Stata is required.
Hardware/software prerequisites: Please make sure you have access to 
Stata prior to the workshop. Information about accessing data could be 
found here <https://faq.library.princeton.edu/econ/faq/11342>.

*Working with Excel Functions*
Date & Time: 11/10/2023 @ 10:30am-11:30am
Instructors: Ofira Schwartz, Social Sciences Data & Sociology Librarian
Location: Stokes Viz Hub - Donald E. Stokes Library, Room 070
Reserve your spot: 
https://libcal.princeton.edu/calendar/events/excelfunctionsf2023
Description: Are you curious to learn more about Excel? Interested in 
refining your Excel skills? Wondering if you can use it more 
effectively? Join us for this introduction to Excel functions workshop. 
We will discuss using Excel functions, as well as working with text and 
dates.  No previous knowledge required.

*Excel PivotTables*
Date & Time: 11/17/2023 @ 10:30am-11:30am
Instructors: Ofira Schwartz, Social Sciences Data & Sociology Librarian
Location: Stokes Viz Hub - Donald E. Stokes Library, Room 070
Reserve your spot: 
https://libcal.princeton.edu/calendar/events/pivottablesf2023
Description: PivotTables are a powerful tool to calculate, summarize, 
and analyze data that lets you see comparisons, patterns, and trends in 
your data. This session will introduce participants PivotTables and 
their functionality. We will also discuss creating PivotCharts, a 
graphical representation of a data summary displayed in a PivotTable.

*Data Visualization with R - Introduction to ggplot*
Date & Time: 12/1/2023 @ 10:30am-12:00pm
Instructors: Ofira Schwartz, Social Sciences Data & Sociology Librarian
Location: Stokes Viz Hub - Donald E. Stokes Library, Room 070
Reserve your spot: 
https://libcal.princeton.edu/calendar/events/rggplotf2023 
<https://libcal.princeton.edu/calendar/events/rggplotf2023>
Description: All are invited to this hands-on workshop which will 
introduce attendees  to the principles of data visualization using R’s 
ggplot package. Participants will learn how to make visually appealing 
plots in a well-informed way, understanding the basic steps and language 
of the ggplot package. Previous knowledge of R is not required but may 
be helpful.

Questions: Ofira Schwartz-Soicher (oschwart at princeton.edu)

------------------------------------------------------------------------

*Research Data and Open Scholarship*

The following workshops are provided by Research Data and Open 
Scholarship <https://library.princeton.edu/rdos>. Questions: Filipa 
Calado (filipa at princeton.edu)

*Introduction to Python for Working with Text* 
<https://libcal.princeton.edu/event/11220080>
Date: Friday, September 22, 2023
Time: 10:00am - 12:00pm
Location: Firestone Library - A-6-F

*Python for Web Scraping* <https://libcal.princeton.edu/event/11226581>
Date: Friday, October 13, 2023
Time: 10:00am - 12:00pm
Location: Firestone Library - A-6-F
Description: This second session of the "Python for Working with Text" 
workshop series will introduce Web Scraping. Participants will practice 
writing code that gathers and manipulates information from websites. No 
familiarity with Python is required, but it is recommended that 
participants attend the "Introduction to Python" workshop (Fri, Sep 22) 
from the series and/or review the materials from that workshop.

*Python for Text Analysis* <https://libcal.princeton.edu/event/11226655>
Date: Monday, November 20, 2023
Time: 10:00am - 12:00pm
Location: Firestone Library - A-6-F
Description: The third and final session of the "Python for Working with 
Text" workshop series will build on the "Introduction to Python" and 
"Web Scraping" workshops to introduce Text Analysis. Participants will 
practice writing code that manipulates and analyzes text-based data from 
PUL's collections. No familiarity with Python is required, but it is 
recommended that participants attend the previous workshops in the 
series and/or review the materials from those workshops.

Questions: Filipa Calado (filipa at princeton.edu)

------------------------------------------------------------------------

*R Workshops from Across Campus*
*
*
See the complete list on Exploring R @ Princeton 
<https://exploringr.princeton.edu/campus-r-resources/>.

Introduction to Programming with R 
<https://libcal.princeton.edu/calendar/events/Rintrof23>(Zoom)

*Date & Time*: 9/15/2023 at 1:30pm - 3:00pm

*Instructors*: Ameet Doshi, Yufei Qin and Muhammad Al Amin

*Location*: Zoom

*Description*: This introductory workshop begins with 60 mins of 
interactive instruction about the basics of using R, with a focus on 
data cleaning and preparation for analysis. The instructional portion of 
the session will be followed with 30 mins of self-guided programming 
practice with instructors available for assistance. This workshop will 
be held virtually via Zoom.

*Organizer*: Stokes Viz Hub

Programming with R: Data Analysis and Visualization 
<https://libcal.princeton.edu/calendar/events/Rprogrammingf23>(Zoom)

*Date & Time*: 9/21/2023 @ 1:30pm - 3:00pm

*Instructors*: Ameet Doshi, Yufei Qin and Muhammad Al Amin

*Location*: Zoom

*Description*: This workshop begins with 60 mins of interactive 
instruction about how to conduct regression analysis and visualization 
using R. The interactive instructional portion of the workshop is then 
followed by a self-guided programming practice exercise with instructors 
available for assistance. This workshop will be held virtually via Zoom.

*Organizer*: Stokes Viz Hub

Introduction to Data Analysis Using R <https://cglink.me/2gi/r1935775>

*Date & Time*: September 25 at 6:00-8:00 PM

*Instructor*: Oscar Torres-Reyna, Manager, Statistical Services, Economics

*Location*: 217 Julis Romo Rabinowitz Building

*Description*: This workshop will get participants started in data 
analysis using R/RStudio. It will briefly cover different components of 
data analysis and connect them with the goal of extracting meaning from 
data. We will go over an example to illustrate the data analysis process 
from beginning to end.

*Organizer*: PICSciE/RC

Introduction to Data Analysis with R 
<https://libcal.princeton.edu/event/11216484>

*Date*: Friday, October 6, 2023

*Time*: 10:30am - 12:00pm

*Location*: Firestone Library - A-6-F

*Description*: This workshop is hands-on and intended for beginners; no 
previous knowledge of data analysis and/or R is required. This session 
will cover the following topics for R: data preparation, descriptive 
statistics, introduction to data visualization, and introduction to 
linear regression.

*Hardware/software prerequisites*: Please make sure you have access 
to RStudio prior to the workshop. Information about R/RStudio installing 
the software could be found here. 
<http://www.princeton.edu/~otorres/InstallingRStudio.pdf>

*Organizer*: Data and Statistical Services

Using R on the Research Computing Clusters <https://cglink.me/2gi/r1935901>

*Date & Time*: October 24 at 4:30-6:00 PM

*Instructor*: Galen Collier, Director of Researcher Engagement

*Description*: This workshop will provide an overview of techniques for 
using R to tackle problems at scale and in parallel on the Research 
Computing clusters.

*Organizer*: PICSciE/RC

Data Visualization with R <https://cglink.me/2gi/r1935903> (Intermediate 
Level)

*Date & Time*: October 26 at 10:00 AM-12:00 PM

*Instructor*: Carolina Roe-Raymond, Visualization Analyst

*Description*: Want easier ways to make better graphs in R? This 
workshop is for researchers who have beginner-level experience with R’s 
ggplot2 package, but would like tools for creating more efficient 
workflows and improving the appearance of their visualizations.

*Organizer*: PICSciE/RC

Working with R tidyr and dplyr Packages 
<https://libcal.princeton.edu/calendar/events/Rtidyversef2023>

*Date & Time*: 10/27/2023 @ 1:30pm - 3:00pm

*Instructor*: Boriana Pratt, Statistical Programmer, Office of 
Population Research

*Location*: Stokes Viz Hub - Donald E. Stokes Library, Room 070

*Description*: This workshop introduces two modern R packages, both part 
of R's "tidyverse" that provide intuitive tools for handling common data 
management tasks. The first package, tidyr, provides functions that 
reshape data. The second package, dplyr, provides a set of functions 
(referred to as "verbs") that allow you to easily subset observations, 
reorder observations, select specific variables, add new variables, 
group observations, and summarize groups of observations.

*Organizer*: Stokes Viz Hub

*Introduction to Data Analysis with R 
<https://libcal.princeton.edu/event/11216499>*

*Date*: Friday, November 3, 2023

*Time*: 10:30am - 12:00pm

*Location*: Firestone Library - A-6-F

*Description*: This workshop is hands-on and intended for beginners; no 
previous knowledge of data analysis and/or R is required. This session 
will cover the following topics for R: data preparation, descriptive 
statistics, introduction to data visualization, and introduction to 
linear regression.

*Hardware/software prerequisites*: Please make sure you have access 
to RStudio prior to the workshop. Information about R/RStudio installing 
the software could be found here. 
<http://www.princeton.edu/~otorres/InstallingRStudio.pdf>

*Organizer*: Data and Statistical Services

Data Visualization with R - Introduction to ggplot 
<https://libcal.princeton.edu/calendar/events/rggplotf2023>

*Date & Time*: 12/1/2023 @ 10:30am-12:00pm

*Instructors*: Ofira Schwartz, Social Sciences Data & Sociology Librarian

*Location*: Stokes Viz Hub - Donald E. Stokes Library, Room 070

*Description*: All are invited to this hands-on workshop which will 
introduce attendees  to the principles of data visualization using 
R’s ggplot package. Participants will learn how to make visually 
appealing plots in a well-informed way, understanding the basic steps 
and language of the ggplot package. Previous knowledge of R is not 
required but may be helpful.

*Organizer*: Stokes Viz Hub

*Introduction to Data Analysis with R 
<https://libcal.princeton.edu/event/11216509>*

*Date*: Friday, December 1, 2023

*Time*: 10:30am - 12:00pm

*Location*: Firestone Library - A-6-F

*Description*: This workshop is hands-on and intended for beginners; no 
previous knowledge of data analysis and/or R is required. This session 
will cover the following topics for R: data preparation, descriptive 
statistics, introduction to data visualization, and introduction to 
linear regression.

*Hardware/software prerequisites*: Please make sure you have access 
to RStudio prior to the workshop. Information about R/RStudio installing 
the software could be found here. 
<http://www.princeton.edu/~otorres/InstallingRStudio.pdf>

*Organizer*: Data and Statistical Services

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