BEGIN:VCALENDAR VERSION:2.0 PRODID:icalendar-ruby CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Chicago BEGIN:DAYLIGHT DTSTART:20260308T030000 TZOFFSETFROM:-0600 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:CDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20261101T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0600 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:CST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP;TZID=America/Chicago:20260910T171431 UID:223678@calendar.wisc.edu DTSTART;TZID=America/Chicago:20260917T100000 DTEND;TZID=America/Chicago:20260917T120000 DESCRIPTION:R es un lenguaje de programación ampliamente utilizado para el análisis de datos científicos. En este taller aprenderás lo esencial p ara tus primeros pasos en R: usar RStudio\, organizar tu entorno de trabaj o\, instalar paquetes y comprender los tipos de datos principales. Al fina lizar\, podrás cargar y manipular conjuntos de datos sencillos.\n\nDirigi do a personas sin experiencia previa en programación.\n\nRegistro: go.wis c.edu/rpi430\n\nCONTACT: heather.shimon@wisc.edu\n\nURL: https://www.libra ry.wisc.edu/steenbock/2026/08/18/learn-how-to-analyze-data-using-python-an d-or-r-programming-languages/\n\nONLINE: https://go.wisc.edu/rpi430 LOCATION: (Online) SUMMARY:Introducción a R (en línea) URL;VALUE=URI:https://www.library.wisc.edu/steenbock/2026/08/18/learn-how-t o-analyze-data-using-python-and-or-r-programming-languages/ END:VEVENT BEGIN:VEVENT DTSTAMP;TZID=America/Chicago:20260910T171431 UID:223663@calendar.wisc.edu DTSTART;TZID=America/Chicago:20260918T100000 DTEND;TZID=America/Chicago:20260918T120000 DESCRIPTION:This code-along workshop is for the absolute beginner wanting t o slowly walk through the process of getting started with R\, a programmin g language commonly used for data analysis. The session will introduce you to the RStudio interface for coding in R. We will set up a project direct ory\, cover key concepts and terminology\, and load and inspect a dataset. \n\nNo programming experience is required.\n\nRegister: go.wisc.edu/2zo751 \n\nCONTACT: heather.shimon@wisc.edu\n\nURL: https://www.library.wisc.edu/ steenbock/2026/08/18/learn-how-to-analyze-data-using-python-and-or-r-progr amming-languages/ LOCATION:Online\, connection information will be sent in advance SUMMARY:R Programming 1: R Basics for Research Projects (online) URL;VALUE=URI:https://www.library.wisc.edu/steenbock/2026/08/18/learn-how-t o-analyze-data-using-python-and-or-r-programming-languages/ END:VEVENT BEGIN:VEVENT DTSTAMP;TZID=America/Chicago:20260910T171431 UID:223680@calendar.wisc.edu DTSTART;TZID=America/Chicago:20260924T100000 DTEND;TZID=America/Chicago:20260924T120000 DESCRIPTION:Gran parte del análisis de datos consiste en organizarlos. En este taller aprenderás a importar\, transformar y combinar conjuntos de d atos en R usando dplyr: seleccionar\, filtrar\, crear variables y sintetiz ar datos para responder preguntas específicas. Al finalizar\, conocerás los principios de "datos ordenados" (tidy data) y podrás preparar tus dat os para análisis y visualización.\n\nSe recomienda experiencia básica e n R.\n\nRegistro: go.wisc.edu/24d8g9\n\nCONTACT: heather.shimon@wisc.edu\n \nURL: https://www.library.wisc.edu/steenbock/2026/08/18/learn-how-to-anal yze-data-using-python-and-or-r-programming-languages/\n\nONLINE: https://g o.wisc.edu/24d8g9 LOCATION: (Online) SUMMARY:Manejo de datos con dplyr (en línea) URL;VALUE=URI:https://www.library.wisc.edu/steenbock/2026/08/18/learn-how-t o-analyze-data-using-python-and-or-r-programming-languages/ END:VEVENT BEGIN:VEVENT DTSTAMP;TZID=America/Chicago:20260910T171431 UID:223667@calendar.wisc.edu DTSTART;TZID=America/Chicago:20260925T100000 DTEND;TZID=America/Chicago:20260925T120000 DESCRIPTION:This code-along workshop is an exact repeat of the previous wee k’s “R Basics” workshop.\n\nFor the absolute beginner wanting to slo wly walk through the process of getting started with R\, this workshop wil l introduce you to the RStudio interface for coding in R. We will set up a project directory\, cover key concepts and terminology\, and load and ins pect a dataset.\n\nNo programming experience is required.\n\nRegister: go. wisc.edu/wdcuc8\n\nCONTACT: heather.shimon@wisc.edu\n\nURL: https://www.li brary.wisc.edu/steenbock/2026/08/18/learn-how-to-analyze-data-using-python -and-or-r-programming-languages/ LOCATION:Online\, connection information will be sent in advance SUMMARY:R Programming 1: R Basics for Research Projects - Repeat (online) URL;VALUE=URI:https://www.library.wisc.edu/steenbock/2026/08/18/learn-how-t o-analyze-data-using-python-and-or-r-programming-languages/ END:VEVENT BEGIN:VEVENT DTSTAMP;TZID=America/Chicago:20260910T171431 UID:223681@calendar.wisc.edu DTSTART;TZID=America/Chicago:20261001T100000 DTEND;TZID=America/Chicago:20261001T120000 DESCRIPTION:La visualización de datos es fundamental para explorar y comun icar resultados. En este taller aprenderás a crear y personalizar gráfic as en R con ggplot2\, conocerás los principios de una buena visualizació n y construirás distintos tipos de gráficos para representar tus datos c on claridad. Al finalizar\, podrás elaborar visualizaciones adaptadas a t us datos y preguntas de investigación.\n\nSe recomienda experiencia bási ca en R.\n\nRegistro: go.wisc.edu/2nlcl2\n\nCONTACT: heather.shimon@wisc.e du\n\nURL: https://www.library.wisc.edu/steenbock/2026/08/18/learn-how-to- analyze-data-using-python-and-or-r-programming-languages/\n\nONLINE: https ://go.wisc.edu/2nlcl2 LOCATION: (Online) SUMMARY:Visualización de datos con ggplot2 (en línea) URL;VALUE=URI:https://www.library.wisc.edu/steenbock/2026/08/18/learn-how-t o-analyze-data-using-python-and-or-r-programming-languages/ END:VEVENT BEGIN:VEVENT DTSTAMP;TZID=America/Chicago:20260910T171431 UID:223669@calendar.wisc.edu DTSTART;TZID=America/Chicago:20261002T100000 DTEND;TZID=America/Chicago:20261002T120000 DESCRIPTION:Data is rarely perfect out of the box. This code-along workshop will cover how to manipulate datasets using an R package called dplyr. Af ter this session\, you will be able to select rows and columns\, add new c olumns\, remove missing data\, and create summary tables of your data.\n\n Prerequisite: basic working knowledge of R and RStudio (e.g.\, functions\, operators\, data types) is helpful.\n\nRegister: go.wisc.edu/6qux10\n\nCO NTACT: heather.shimon@wisc.edu\n\nURL: https://www.library.wisc.edu/steenb ock/2026/08/18/learn-how-to-analyze-data-using-python-and-or-r-programming -languages/ LOCATION:Online\, connection information will be sent in advance SUMMARY:R Programming 2: Data Wrangling for Research Projects (online) URL;VALUE=URI:https://www.library.wisc.edu/steenbock/2026/08/18/learn-how-t o-analyze-data-using-python-and-or-r-programming-languages/ END:VEVENT BEGIN:VEVENT DTSTAMP;TZID=America/Chicago:20260910T171431 UID:223670@calendar.wisc.edu DTSTART;TZID=America/Chicago:20261009T100000 DTEND;TZID=America/Chicago:20261009T120000 DESCRIPTION:So you’re familiar with R\, but want to do more with your plo ts than the base graphics package. This code-along workshop will show you how to use the ggplot2 package in R. After this session\, you will be able to create a variety of plot types\, alter their aesthetics\, and create c ustom themes.\n\nPrerequisite: working knowledge of R\, RStudio\, and the dplyr package is helpful.\n\nRegister: go.wisc.edu/f7n0ww\n\nCONTACT: heat her.shimon@wisc.edu\n\nURL: https://www.library.wisc.edu/steenbock/2026/08 /18/learn-how-to-analyze-data-using-python-and-or-r-programming-languages/ LOCATION:Online\, connection information will be sent in advance SUMMARY:R Programming 3: Data Visualization for Research Projects (online) URL;VALUE=URI:https://www.library.wisc.edu/steenbock/2026/08/18/learn-how-t o-analyze-data-using-python-and-or-r-programming-languages/ END:VEVENT BEGIN:VEVENT DTSTAMP;TZID=America/Chicago:20260910T171431 UID:223671@calendar.wisc.edu DTSTART;TZID=America/Chicago:20261016T100000 DTEND;TZID=America/Chicago:20261016T120000 DESCRIPTION:One way to automate your reports is to create files with human readable text and machine readable code. This code-along workshop will cov er creating reproducible reports in RStudio using Quarto. After this sessi on\, you will be able to create Quarto documents\, add formatted text and executable code blocks\, and render the document into a final report.\n\nP rerequisite: working knowledge of R\, RStudio\, and familiarity with the d plyr and ggplot2 packages is helpful.\n\nRegister: go.wisc.edu/qv5hdj\n\nC ONTACT: heather.shimon@wisc.edu\n\nURL: https://www.library.wisc.edu/steen bock/2026/08/18/learn-how-to-analyze-data-using-python-and-or-r-programmin g-languages/ LOCATION:Online\, connection information will be sent in advance SUMMARY:R Programming 4: Reports for Research Projects (online) URL;VALUE=URI:https://www.library.wisc.edu/steenbock/2026/08/18/learn-how-t o-analyze-data-using-python-and-or-r-programming-languages/ END:VEVENT BEGIN:VEVENT DTSTAMP;TZID=America/Chicago:20260910T171431 UID:223672@calendar.wisc.edu DTSTART;TZID=America/Chicago:20261030T100000 DTEND;TZID=America/Chicago:20261030T120000 DESCRIPTION:Recreating folder structures\, setting up metadata\, managing p aths\, and adapting the same code to run in slightly different contexts ta kes time. The R package\, toolero is here to help! This code-along worksho p will help you automate common setup steps to build reproducible workflow s at the start of your project.\n\nPrerequisite: working knowledge of R\, RStudio\, and familiarity with the dplyr and ggplot2 packages is helpful.\ n\nRegister: go.wisc.edu/4dye27\n\nCONTACT: heather.shimon@wisc.edu\n\nURL : https://www.library.wisc.edu/steenbock/2026/08/18/learn-how-to-analyze-d ata-using-python-and-or-r-programming-languages/ LOCATION:Online\, connection information will be sent in advance SUMMARY:R Programming 5: Reproducible Workflows with toolero (online) URL;VALUE=URI:https://www.library.wisc.edu/steenbock/2026/08/18/learn-how-t o-analyze-data-using-python-and-or-r-programming-languages/ END:VEVENT END:VCALENDAR