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DTSTART;TZID=America/Los_Angeles:20240124T161500
DTEND;TZID=America/Los_Angeles:20240124T174500
DTSTAMP:20260404T014023
CREATED:20240125T210350Z
LAST-MODIFIED:20250107T003217Z
UID:1707-1706112900-1706118300@datascience.library.claremont.edu
SUMMARY:Equation Writing with LaTeX
DESCRIPTION:Ever wonder how your professor writes mathematical symbols\, equations\, and formulas so easily for your assignments? Ever been frustrated with the limitations and clumsiness of Microsoft’s Equation Editor when writing your lab assignments? Is the technical and aesthetic formatting of your senior thesis driving you crazy? The solution to all these problems is to learn LaTeX\, a document preparation system that makes writing mathematics simple and creates consistent formatting. \nIn this workshop\, we will step through the set-up of getting started with Overleaf to compile your first document. The first half of the workshop will go through the basics of LaTeX and writing math equations so you can start turning in clear solutions to your homework assignments online. The second half delves into formatting and referencing sections\, displaying figures\, using packages\, and citing sources\, enough to produce a professional senior thesis or publishable manuscript. \nPre-requisites \nThe entire workshop will be done through Zoom\, so please have a stable internet connection. \nParticipants \nOpen to all CMC Staff\, Faculty and Students
URL:https://datascience.library.claremont.edu/event/__trashed-34/
CATEGORIES:QCL Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240205T160000
DTEND;TZID=America/Los_Angeles:20240205T170000
DTSTAMP:20260404T014023
CREATED:20240124T185029Z
LAST-MODIFIED:20240806T215250Z
UID:1617-1707148800-1707152400@datascience.library.claremont.edu
SUMMARY:Map Monday: Sharing Content in ArcGIS Online
DESCRIPTION:Working on GIS projects with a group or a partner? Getting bogged down in how to use groups or hosted layers? What do you need to watch out for with sharing your content to a larger audience? \n\n\n\nJoin us for an informal conversation and gain some solid strategies for easily sharing your ArcGIS Online content and supporting successful collaborations.
URL:https://datascience.library.claremont.edu/event/map-monday-sharing-content-in-arcgis-online/
LOCATION:Digital Scholarship Collaboratory – Library\, 800 N. Dartmouth Ave.\, Claremont\, CA\, 91711\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240207T161500
DTEND;TZID=America/Los_Angeles:20240207T174500
DTSTAMP:20260404T014023
CREATED:20240125T210349Z
LAST-MODIFIED:20250107T003201Z
UID:1710-1707322500-1707327900@datascience.library.claremont.edu
SUMMARY:Exploring Data in Excel (Part 1)
DESCRIPTION:Microsoft Excel is a spreadsheet program that is part of the Microsoft Office Suite. It is useful for calculations\, making simple charts and data recording for different business processes. \nPurpose \nThe 1.5 hour workshop is intended to introduce some basic features and functions to audience with little or no previous Excel experience. \nPrerequisite \nAttendees are asked to have local installation of the Microsoft Excel or access to Excel Online through Office on their own computers for the workshop. \nAgenda \nThe workshop covers: \n\nLearn how to move around the Excel Environment\nLearn how to move data around with Sort\nLearn how to highlight and hide data with Filter and Conditional Formatting\nMake a simple search feature with VLOOKUP (exact match)\nMake simple Calculations about your data\nPut data in bins for visuals with Frequency\n\nReferences \n\nCovid-19 data setBroadway data set\n\nWorkshop creation by Cindy Cheng\, QCL Grad Fellow (07-06-20)Workshop update by Vanessa Casillas\, QCL Grad Fellow (01-26-22)
URL:https://datascience.library.claremont.edu/event/__trashed-35/
CATEGORIES:QCL Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240214T160000
DTEND;TZID=America/Los_Angeles:20240214T170000
DTSTAMP:20260404T014023
CREATED:20240124T185413Z
LAST-MODIFIED:20240909T211712Z
UID:1619-1707926400-1707930000@datascience.library.claremont.edu
SUMMARY:Beyond the Basics: Data Tips and Tricks in Spreadsheets
DESCRIPTION:As part of International Love Data Week 2024\, we will be presenting an overview of some of the most common approaches for cleaning and organizing data when “row by row” manual editing just isn’t enough. This will include built-in functions of Excel and Google sheets\, easy-to use charts and visualizations\, and the challenges of working with dates. \n\n\n\nPlease be sure to bring your laptop or let us know if you need to borrow one so you can get hands-on experience through our workshop exercises.
URL:https://datascience.library.claremont.edu/event/beyond-the-basics-data-tips-and-tricks-in-spreadsheets/
LOCATION:Digital Scholarship Collaboratory – Library\, 800 N. Dartmouth Ave.\, Claremont\, CA\, 91711\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240214T161500
DTEND;TZID=America/Los_Angeles:20240214T174500
DTSTAMP:20260404T014023
CREATED:20240125T213524Z
LAST-MODIFIED:20250107T003056Z
UID:1755-1707927300-1707932700@datascience.library.claremont.edu
SUMMARY:Exploring Data in Excel (Part 2)
DESCRIPTION:Microsoft Excel is a spreadsheet program that is part of the Microsoft Office Suite. It is useful for calculations\, making simple charts and data recording for different business processes. \n\n\n\nPurpose \n\n\n\nThe 1.5 hour workshop is intended to introduce some basic features and functions to audience with little or no previous Excel experience. \n\n\n\nPrerequisite \n\n\n\nAttendees are asked to have local installation of the Microsoft Excel or access to Excel Online through Office on their own computers for the workshop. \n\n\n\nAgenda (The workshop covers): \n\n\n\n\nPivot Tables VLOOKUP (approximate match)\n\n\n\nINDEX and MATCH\n\n\n\nMost common functions: Count and Sum\n\n\n\nLogical functions: IF\, AND\, OR and NOT\n\n\n\n\nReferences \n\n\n\nCovid-19 data setBroadway data set \n\n\n\nWorkshop creation by Cindy Cheng\, QCL Grad Fellow (07-06-20) Workshop update by Vanessa Casillas\, QCL Grad Fellow (03-28-22)
URL:https://datascience.library.claremont.edu/event/exploring-data-in-excel-part-1-4/
CATEGORIES:QCL Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240221T161500
DTEND;TZID=America/Los_Angeles:20240221T174500
DTSTAMP:20260404T014023
CREATED:20240125T215108Z
LAST-MODIFIED:20240802T180435Z
UID:1768-1708532100-1708537500@datascience.library.claremont.edu
SUMMARY:Programming Basics with Python (Part 1)
DESCRIPTION:Python is one of the most popular programming languages for data scientists\, web developers\, and machine learning practitioners. Its simple syntax makes it an easy-to-write (and an easy-to-learn) language. In this workshop\, you will learn the basics of the Python programming language by creating\, step by step\, a function that will potentially make grocery shopping easier. \n\n\n\nThis is a workshop designed for beginners\, so no prior knowledge of Python or any programming language is needed. \n\n\n\nPrerequisites \n\n\n\nThis is a Level 1 Workshop\, so no programming knowledge is assumed.
URL:https://datascience.library.claremont.edu/event/programming-basics-with-python-part-1/
ATTACH;FMTTYPE=image/jpeg:https://datascience.library.claremont.edu/wp-content/uploads/sites/9/2024/01/python.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240221T161500
DTEND;TZID=America/Los_Angeles:20240221T174500
DTSTAMP:20260404T014023
CREATED:20240125T215108Z
LAST-MODIFIED:20240802T180435Z
UID:1768-1708532100-1708537500@datascience.library.claremont.edu
SUMMARY:Programming Basics with Python (Part 1)
DESCRIPTION:Python is one of the most popular programming languages for data scientists\, web developers\, and machine learning practitioners. Its simple syntax makes it an easy-to-write (and an easy-to-learn) language. In this workshop\, you will learn the basics of the Python programming language by creating\, step by step\, a function that will potentially make grocery shopping easier. \n\n\n\nThis is a workshop designed for beginners\, so no prior knowledge of Python or any programming language is needed. \n\n\n\nPrerequisites \n\n\n\nThis is a Level 1 Workshop\, so no programming knowledge is assumed.
URL:https://datascience.library.claremont.edu/event/programming-basics-with-python-part-1/
ATTACH;FMTTYPE=image/jpeg:https://datascience.library.claremont.edu/wp-content/uploads/sites/9/2024/01/python.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240228T161500
DTEND;TZID=America/Los_Angeles:20240228T174500
DTSTAMP:20260404T014023
CREATED:20240125T215359Z
LAST-MODIFIED:20240802T180627Z
UID:1772-1709136900-1709142300@datascience.library.claremont.edu
SUMMARY:Programming Basics with Python (Part 2)
DESCRIPTION:Python is one of the most popular programming languages for data scientists\, web developers\, and machine learning practitioners. Its simple syntax makes it an easy-to-write (and an easy-to-learn) language. In this workshop\, you will learn the basics of the Python programming language by creating\, step by step\, a function that will potentially make grocery shopping easier. \n\n\n\nThis is a workshop designed for beginners\, so no prior knowledge of Python or any programming language is needed. \n\n\n\nPrerequisitesThis is a Level 1 Workshop\, so no programming knowledge is assumed.
URL:https://datascience.library.claremont.edu/event/programming-basics-with-python-part-2/
ATTACH;FMTTYPE=image/png:https://datascience.library.claremont.edu/wp-content/uploads/sites/9/2024/01/python2.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240228T161500
DTEND;TZID=America/Los_Angeles:20240228T174500
DTSTAMP:20260404T014023
CREATED:20240125T215359Z
LAST-MODIFIED:20240802T180627Z
UID:1772-1709136900-1709142300@datascience.library.claremont.edu
SUMMARY:Programming Basics with Python (Part 2)
DESCRIPTION:Python is one of the most popular programming languages for data scientists\, web developers\, and machine learning practitioners. Its simple syntax makes it an easy-to-write (and an easy-to-learn) language. In this workshop\, you will learn the basics of the Python programming language by creating\, step by step\, a function that will potentially make grocery shopping easier. \n\n\n\nThis is a workshop designed for beginners\, so no prior knowledge of Python or any programming language is needed. \n\n\n\nPrerequisitesThis is a Level 1 Workshop\, so no programming knowledge is assumed.
URL:https://datascience.library.claremont.edu/event/programming-basics-with-python-part-2/
ATTACH;FMTTYPE=image/png:https://datascience.library.claremont.edu/wp-content/uploads/sites/9/2024/01/python2.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240306T161500
DTEND;TZID=America/Los_Angeles:20240306T174500
DTSTAMP:20260404T014023
CREATED:20240125T215944Z
LAST-MODIFIED:20240802T180649Z
UID:1776-1709741700-1709747100@datascience.library.claremont.edu
SUMMARY:Data Wrangling with R
DESCRIPTION:Data wrangling is the process of obtaining\, cleaning\, reshaping\, and transforming raw (and messy) data into a useable form of processed (and tidy) data. It is known that a majority of data analysts and data scientists spend as much as 80% of their time on data wrangling. Thus\, it is essential to get familiar with good data wrangling tools that help you save time and avoid errors. In this hands-on workshop\, you will learn basic skills to import\, export\, clean\, reshape\, transform\, and visualize data using the well-known data science package called tidyverse. \n\n\n\nLearning Objectives: (You will learn how to): \n\n\n\n\nImport and export data\n\n\n\nClean\, reshape and transform data\n\n\n\nMake messy data into tidy data\n\n\n\n\nPre-requisites \n\n\n\n\nBasic knowledge of R and RStudio (e.g.\, Programming Basics with R – Level 1)\n\n\n\nPosit Cloud account; if you don’t have one yet\, please create a new account at https://posit.cloud/\n\n\n\nTidyverse package; please make sure that you have installed the tidyverse package in your R environment. See: https://www.tidyverse.org for more information.\n\n\n\n\nParticipants \n\n\n\nAll CMC Students\, Faculty\, and Staff
URL:https://datascience.library.claremont.edu/event/data-wrangling-with-r-5/
ATTACH;FMTTYPE=image/png:https://datascience.library.claremont.edu/wp-content/uploads/sites/9/2024/01/data-science-wrangle.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240306T161500
DTEND;TZID=America/Los_Angeles:20240306T174500
DTSTAMP:20260404T014023
CREATED:20240125T215944Z
LAST-MODIFIED:20240802T180649Z
UID:1776-1709741700-1709747100@datascience.library.claremont.edu
SUMMARY:Data Wrangling with R
DESCRIPTION:Data wrangling is the process of obtaining\, cleaning\, reshaping\, and transforming raw (and messy) data into a useable form of processed (and tidy) data. It is known that a majority of data analysts and data scientists spend as much as 80% of their time on data wrangling. Thus\, it is essential to get familiar with good data wrangling tools that help you save time and avoid errors. In this hands-on workshop\, you will learn basic skills to import\, export\, clean\, reshape\, transform\, and visualize data using the well-known data science package called tidyverse. \n\n\n\nLearning Objectives: (You will learn how to): \n\n\n\n\nImport and export data\n\n\n\nClean\, reshape and transform data\n\n\n\nMake messy data into tidy data\n\n\n\n\nPre-requisites \n\n\n\n\nBasic knowledge of R and RStudio (e.g.\, Programming Basics with R – Level 1)\n\n\n\nPosit Cloud account; if you don’t have one yet\, please create a new account at https://posit.cloud/\n\n\n\nTidyverse package; please make sure that you have installed the tidyverse package in your R environment. See: https://www.tidyverse.org for more information.\n\n\n\n\nParticipants \n\n\n\nAll CMC Students\, Faculty\, and Staff
URL:https://datascience.library.claremont.edu/event/data-wrangling-with-r-5/
ATTACH;FMTTYPE=image/png:https://datascience.library.claremont.edu/wp-content/uploads/sites/9/2024/01/data-science-wrangle.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240925T133000
DTEND;TZID=America/Los_Angeles:20240925T153000
DTSTAMP:20260404T014023
CREATED:20240912T204635Z
LAST-MODIFIED:20241004T181318Z
UID:1865-1727271000-1727278200@datascience.library.claremont.edu
SUMMARY:Practical Python: Session 1
DESCRIPTION:Have you ever thought about learning to program in Python? Do you want to learn how to retrieve data from websites for your research projects? \n\n\n\nWell\, you are in luck! This fall we are hosting a free two-part workshop on Python! \n\n\n\nWednesday\, September 25 (Session 1): The basics of the Python programming language\, from data types and variables to classes and methods. \n\n\n\nWednesday\, October 2 (Session 2): A hands-on tutorial for building a basic web scraper and for manipulating and visualizing data. \n\n\n\nBeginner programmers with absolutely no experience are welcome!
URL:https://datascience.library.claremont.edu/event/practical-python-session-1/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240925T161500
DTEND;TZID=America/Los_Angeles:20240925T174500
DTSTAMP:20260404T014023
CREATED:20240919T221142Z
LAST-MODIFIED:20241004T181507Z
UID:1878-1727280900-1727286300@datascience.library.claremont.edu
SUMMARY:QCL Workshop - Programming Basics with R (Part 1)
DESCRIPTION:You have data and you need a tool to do something with it. Whether you’re a data scientist\, political scientist\, economist\, or biologist\, it’s increasingly apparent that data is ever-present and we need to do a little statistics\, a little visualization\, and a little manipulation of this data. That is precisely what the programming language R is built for. In this workshop\, we will cover the basics of getting started with R and R Studio. \n\n\n\nLearning Objectives: (You will learn how to): \n\n\n\n\nUnderstand the R-Studio environment on the cloud\n\n\n\nUse the console for basic statistics tools\n\n\n\nProduce documents with plots of your data findings\n\n\n\n\nPrerequisites: \n\n\n\n\nPosit Cloud account; if you don’t have one yet\, please create a new account at https://posit.cloud/\n\n\n\nNo prior experience with R or any programming is needed.\n\n\n\n\nParticipants: \n\n\n\nAll CMC Students\, Faculty\, and Staff
URL:https://datascience.library.claremont.edu/event/qcl-workshop-programming-basics-with-r-part-1/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240926T161500
DTEND;TZID=America/Los_Angeles:20240926T174500
DTSTAMP:20260404T014023
CREATED:20240919T221250Z
LAST-MODIFIED:20241004T181641Z
UID:1882-1727367300-1727372700@datascience.library.claremont.edu
SUMMARY:QCL Workshop - Programming Basics with R (Part 1)
DESCRIPTION:You have data and you need a tool to do something with it. Whether you’re a data scientist\, political scientist\, economist\, or biologist\, it’s increasingly apparent that data is ever-present and we need to do a little statistics\, a little visualization\, and a little manipulation of this data. That is precisely what the programming language R is built for. In this workshop\, we will cover the basics of getting started with R and R Studio. \n\n\n\nLearning Objectives: (You will learn how to): \n\n\n\n\nUnderstand the R-Studio environment on the cloud\n\n\n\nUse the console for basic statistics tools\n\n\n\nProduce documents with plots of your data findings\n\n\n\n\nPrerequisites: \n\n\n\n\nPosit Cloud account; if you don’t have one yet\, please create a new account at https://posit.cloud/\n\n\n\nNo prior experience with R or any programming is needed.\n\n\n\n\nParticipants: \n\n\n\nAll CMC Students\, Faculty\, and Staff
URL:https://datascience.library.claremont.edu/event/qcl-workshop-programming-basics-with-r-part-1-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20241002T133000
DTEND;TZID=America/Los_Angeles:20241002T153000
DTSTAMP:20260404T014023
CREATED:20240912T204641Z
LAST-MODIFIED:20241004T181210Z
UID:1870-1727875800-1727883000@datascience.library.claremont.edu
SUMMARY:Practical Python: Session 2
DESCRIPTION:Have you ever thought about learning to program in Python? Do you want to learn how to retrieve data from websites for your research projects? \n\n\n\nWell\, you are in luck! This fall we are hosting a two-part workshop on Python! \n\n\n\nWednesday\, September 25 (Session 1): The basics of the Python programming language\, from data types and variables to classes and methods. \n\n\n\nWednesday\, October 2 (Session 2): A hands-on tutorial for building a basic web scraper and for manipulating and visualizing data. \n\n\n\nBeginner programmers with absolutely no experience are welcome!
URL:https://datascience.library.claremont.edu/event/practical-python-session-2/
ORGANIZER;CN="David Merten-Jones":MAILTO:david.merten-jones@claremont.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20241002T161500
DTEND;TZID=America/Los_Angeles:20241002T174500
DTSTAMP:20260404T014023
CREATED:20240919T221417Z
LAST-MODIFIED:20241004T181730Z
UID:1885-1727885700-1727891100@datascience.library.claremont.edu
SUMMARY:QCL Workshop - Programming Basics with R (Part 2)
DESCRIPTION:Data Exploration is the process of importing\, filtering\, transforming\, and visualizing data to find patterns and get an idea of how to move forward with your data project. It is known that a majority of data analysts and data scientists spend as much as 80% of their time in data exploration. Thus\, it is essential to get familiar with good data wrangling and visualization tools that help you save time and avoid errors. In this hands-on workshop\, you will learn basic skills to import\, export\, filter\, transform\, and visualize data using the well-known data science package called tidyverse. \n\n\n\nLearning Objectives: (You will learn how to): \n\n\n\n\nImport and export data \n\n\n\nFilter and transform data with dplyer \n\n\n\nVisualize data with ggplot \n\n\n\nUse basic logical operations\n\n\n\n\nPrerequisites: \n\n\n\n\nBasic knowledge of R and RStudio (e.g.\, Programming Basics with R – Level 1) \n\n\n\nPosit Cloud account; if you don’t have one yet\, please create a new account at https://posit.cloud/ \n\n\n\nTidyverse package; please make sure that you have installed the tidyverse package in your R environment. See https://www.tidyverse.org for more information.\n\n\n\n\nParticipants: \n\n\n\nAll CMC Students\, Faculty\, and Staff
URL:https://datascience.library.claremont.edu/event/qcl-workshop-programming-basics-with-r-part-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20241003T161500
DTEND;TZID=America/Los_Angeles:20241003T174500
DTSTAMP:20260404T014023
CREATED:20240919T221452Z
LAST-MODIFIED:20241004T181925Z
UID:1887-1727972100-1727977500@datascience.library.claremont.edu
SUMMARY:QCL Workshop - Programming Basics with R (Part 2)
DESCRIPTION:Data Exploration is the process of importing\, filtering\, transforming\, and visualizing data to find patterns and get an idea of how to move forward with your data project. It is known that a majority of data analysts and data scientists spend as much as 80% of their time in data exploration. Thus\, it is essential to get familiar with good data wrangling and visualization tools that help you save time and avoid errors. In this hands-on workshop\, you will learn basic skills to import\, export\, filter\, transform\, and visualize data using the well-known data science package called tidyverse. \n\n\n\nLearning Objectives: (You will learn how to): \n\n\n\n\nImport and export data \n\n\n\nFilter and transform data with dplyer \n\n\n\nVisualize data with ggplot \n\n\n\nUse basic logical operations\n\n\n\n\nPrerequisites: \n\n\n\n\nBasic knowledge of R and RStudio (e.g.\, Programming Basics with R – Level 1) \n\n\n\nPosit Cloud account; if you don’t have one yet\, please create a new account at https://posit.cloud/ \n\n\n\nTidyverse package; please make sure that you have installed the tidyverse package in your R environment. See https://www.tidyverse.org for more information.\n\n\n\n\nParticipants: \n\n\n\nAll CMC Students\, Faculty\, and Staff
URL:https://datascience.library.claremont.edu/event/qcl-workshop-programming-basics-with-r-part-2-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20241008T120000
DTEND;TZID=America/Los_Angeles:20241008T130000
DTSTAMP:20260404T014023
CREATED:20240916T224226Z
LAST-MODIFIED:20241004T181820Z
UID:1880-1728388800-1728392400@datascience.library.claremont.edu
SUMMARY:Constellate for Text & Data Mining
DESCRIPTION:Join us for a walkthrough of Constellate\, a text and data analysis platform from ITHAKA/JSTOR. \n\n\n\nConstellate provides a hosted JupyterLab environment and rights-cleared access to a wide variety of texts for analysis and exploration. \n\n\n\nIf you are interested in hearing about how Constellate’s text and data mining tools can be incorporated into your research and studies – or even if you are just interested in exploring a new way to work on your coding skills in a supportive environment – be sure to join us for this beginner-friendly tour of the platform. \n\n\n\nMore information and registration: https://claremont.libcal.com/event/12812300
URL:https://datascience.library.claremont.edu/event/constellate-for-text-data-mining/
LOCATION:Digital Scholarship Collaboratory – Library\, 800 N. Dartmouth Ave.\, Claremont\, CA\, 91711\, United States
ORGANIZER;CN="Jeanine Finn":MAILTO:jeanine.finn@claremont.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20241010T161500
DTEND;TZID=America/Los_Angeles:20241010T174500
DTSTAMP:20260404T014023
CREATED:20241009T000117Z
LAST-MODIFIED:20241009T000117Z
UID:1927-1728576900-1728582300@datascience.library.claremont.edu
SUMMARY:QCL Workshop - Setting Up Databases using DBeaver - Part 1
DESCRIPTION:Virtual Event \n\n\n\nAdd to calendar \n\n\n\nSQL is an acronym for Structured Query Language. It is a language designed to access and work with relational databases. Relational databases store and provide access to data points that are related. The workshop will look at Data Definition Language (DDL)\, Data Manipulation Language (DML)\, and Data Query Language (DQL). \n\n\n\nUse DBeaver and SQL statements to:    Create a database    Define table elements    Import tables    Insert data into your project \n\n\n\nPre-requisites:Internet Use: Introductory level (search\, log-in\, navigation of websites\, etc.)Local installation (if you bring your laptop): DBeaver (any version)Software knowledge: basic computer skillsDownload the repo and follow the exercises! https://github.com/CMC-QCL/Introduction-to-SQL-DBeaver-Pt1 \n\n\n\nParticipants:CMC Students\, Faculty and Staff
URL:https://datascience.library.claremont.edu/event/qcl-workshop-setting-up-databases-using-dbeaver-part-1/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20241011T120000
DTEND;TZID=America/Los_Angeles:20241011T130000
DTSTAMP:20260404T014023
CREATED:20241009T000410Z
LAST-MODIFIED:20241009T002827Z
UID:1931-1728648000-1728651600@datascience.library.claremont.edu
SUMMARY:QCL Workshop - Bite-size Tech for Staff: Excel Conditional Formatting
DESCRIPTION:Free Event \n\n\n\nKravis Center\, Kravis 167 View map \n\n\n\nAdd to calendar \n\n\n\n888 Columbia Avenue\, Claremont\, CA \n\n\n\nJoin us for a series of engaging and practical workshop sessions designed to deepen your Excel proficiency. Our workshops are tailored to provide hands-on learning experiences\, equipping you with essential skills and techniques to excel in spreadsheet management. \n\n\n\nWorkshop Topics: \n\n\n\nConditional Formatting: Learn how to effectively highlight and format data based on specific conditions. \n\n\n\nData Validation: Explore methods to ensure data accuracy and integrity through validation techniques. \n\n\n\nFormulas and Functions: Dive into advanced formula usage including Trim\, Proper\, Clean\, and how to deconstruct complex formulas for better understanding. \n\n\n\nCharts and Graphs: Master the art of data visualization with various chart types and setup for creating impactful dashboards. \n\n\n\nDashboards: Discover how to create dynamic dashboards to present your data in a visually appealing and informative way. \n\n\n\nWorkshop Details: \n\n\n\n\nDuration: Each workshop runs for one hour.\n\n\n\nTiming: Lunchtime sessions from 12pm to 1pm.\n\n\n\nLocation: In-person at the Kravis 167 classroom.\n\n\n\n\nThese workshops will empower you to leverage Excel efficiently for data analysis\, reporting\, and decision-making. \n\n\n\nRegister now to secure your spot and take your Excel skills to the next level!
URL:https://datascience.library.claremont.edu/event/qcl-workshop-bite-size-tech-for-staff-excel-conditional-formatting/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20241017T161500
DTEND;TZID=America/Los_Angeles:20241017T174500
DTSTAMP:20260404T014023
CREATED:20241009T000131Z
LAST-MODIFIED:20241014T204929Z
UID:1929-1729181700-1729187100@datascience.library.claremont.edu
SUMMARY:QCL Workshop - Getting Insights from Databases using DBeaver - Part 2
DESCRIPTION:Virtual Event \n\n\n\nAdd to calendar \n\n\n\nSQL is an acronym for Structured Query Language. It is a language designed to access and work with relational databases. Relational databases store and provide access to data points that are related. The workshop will look at Data Definition Language (DDL)\, Data Manipulation Language (DML)\, and Data Query Language (DQL). \n\n\n\nAgenda \n\n\n\n\nInserting data\n\n\n\nQuerying a table\n\n\n\nJoining tables\n\n\n\nHands-on activities\n\n\n\n\nPre-requisitesNo prior experience with SQL is needed. \n\n\n\nAll Attendees will need admin rights on their computers so they can download the installer for DBeaver. \n\n\n\nTarget Audience \n\n\n\nThis workshop is designed for beginners in SQL. No prior programming knowledge is needed. \n\n\n\nParticipants:CMC Students\, Faculty and Staff
URL:https://datascience.library.claremont.edu/event/qcl-workshop-getting-insights-from-databases-using-dbeaver-part-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20241018T120000
DTEND;TZID=America/Los_Angeles:20241018T130000
DTSTAMP:20260404T014023
CREATED:20241009T002808Z
LAST-MODIFIED:20241009T002809Z
UID:1935-1729252800-1729256400@datascience.library.claremont.edu
SUMMARY:QCL Workshop - Bite-size Tech for Staff: Excel Data Validation
DESCRIPTION:Free Event \n\n\n\nKravis Center\, Kravis 167 View map \n\n\n\nAdd to calendar \n\n\n\n888 Columbia Avenue\, Claremont\, CA \n\n\n\nJoin us for a series of engaging and practical workshop sessions designed to deepen your Excel proficiency. Our workshops are tailored to provide hands-on learning experiences\, equipping you with essential skills and techniques to excel in spreadsheet management. \n\n\n\nWorkshop Topics: \n\n\n\nConditional Formatting: Learn how to effectively highlight and format data based on specific conditions. \n\n\n\nData Validation: Explore methods to ensure data accuracy and integrity through validation techniques. \n\n\n\nFormulas and Functions: Dive into advanced formula usage including Trim\, Proper\, Clean\, and how to deconstruct complex formulas for better understanding. \n\n\n\nCharts and Graphs: Master the art of data visualization with various chart types and setup for creating impactful dashboards. \n\n\n\nDashboards: Discover how to create dynamic dashboards to present your data in a visually appealing and informative way. \n\n\n\nWorkshop Details: \n\n\n\n\nDuration: Each workshop runs for one hour.\n\n\n\nTiming: Lunchtime sessions from 12pm to 1pm.\n\n\n\nLocation: In-person at the Kravis 167 classroom.\n\n\n\n\nThese workshops will empower you to leverage Excel efficiently for data analysis\, reporting\, and decision-making. \n\n\n\nRegister now to secure your spot and take your Excel skills to the next level!
URL:https://datascience.library.claremont.edu/event/qcl-workshop-bite-size-tech-for-staff-excel-data-validation/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20241031T161500
DTEND;TZID=America/Los_Angeles:20241031T174500
DTSTAMP:20260404T014023
CREATED:20241030T183606Z
LAST-MODIFIED:20241030T183607Z
UID:1946-1730391300-1730396700@datascience.library.claremont.edu
SUMMARY:QCL Workshop - Excel: Conditioning Data - Level 2
DESCRIPTION:Virtual Event \n\n\n\nAdd to calendar \n\n\n\nThis Excel Level 2 workshop will cover more functions and features to save you some time while working with Excel.  \n\n\n\nIn this 1.5-hour workshop\, we hope to get you started with:  \n\n\n\n– Pivot Table \n\n\n\n– More Lookup functions: VLOOKUP (approximate match)\, INDEX\, and MATCH \n\n\n\n– Most common functions: Count and Sum \n\n\n\n– Logical functions: IF\, AND\, OR\, and NOT \n\n\n\nThe workshop is designed to continue from the QCL Excel Basics Level 1 Workshop.  However\, anyone is welcome to register.  \n\n\n\nPre-requisites \n\n\n\nInternet Use: Introductory level (search\, log-in\, navigation of websites\, etc.) \n\n\n\nLocal installation (if you bring your laptop): Microsoft Excel (any version)Software knowledge: basic Excel skills \n\n\n\nParticipants \n\n\n\nCMC Students\, Faculty and Staff
URL:https://datascience.library.claremont.edu/event/qcl-workshop-excel-conditioning-data-level-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20241101T120000
DTEND;TZID=America/Los_Angeles:20241101T130000
DTSTAMP:20260404T014023
CREATED:20241030T183757Z
LAST-MODIFIED:20241030T183757Z
UID:1948-1730462400-1730466000@datascience.library.claremont.edu
SUMMARY:QCL Workshop - Bite-size Tech for Staff: Excel Formulas and Functions
DESCRIPTION:Free Event \n\n\n\nKravis Center\, Kravis 167 View map \n\n\n\nAdd to calendar \n\n\n\n888 Columbia Avenue\, Claremont\, CA \n\n\n\nJoin us for a series of engaging and practical workshop sessions designed to deepen your Excel proficiency. Our workshops are tailored to provide hands-on learning experiences\, equipping you with essential skills and techniques to excel in spreadsheet management. \n\n\n\nWorkshop Topics: \n\n\n\nConditional Formatting: Learn how to effectively highlight and format data based on specific conditions. \n\n\n\nData Validation: Explore methods to ensure data accuracy and integrity through validation techniques. \n\n\n\nFormulas and Functions: Dive into advanced formula usage including Trim\, Proper\, Clean\, and how to deconstruct complex formulas for better understanding. \n\n\n\nCharts and Graphs: Master the art of data visualization with various chart types and setup for creating impactful dashboards. \n\n\n\nDashboards: Discover how to create dynamic dashboards to present your data in a visually appealing and informative way. \n\n\n\nWorkshop Details: \n\n\n\n\nDuration: Each workshop runs for one hour.\n\n\n\nTiming: Lunchtime sessions from 12pm to 1pm.\n\n\n\nLocation: In-person at the Kravis 167 classroom.\n\n\n\n\nThese workshops will empower you to leverage Excel efficiently for data analysis\, reporting\, and decision-making. \n\n\n\nRegister now to secure your spot and take your Excel skills to the next level!
URL:https://datascience.library.claremont.edu/event/qcl-workshop-bite-size-tech-for-staff-excel-formulas-and-functions/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20241106T161500
DTEND;TZID=America/Los_Angeles:20241106T174500
DTSTAMP:20260404T014023
CREATED:20241030T184158Z
LAST-MODIFIED:20241030T184158Z
UID:1950-1730909700-1730915100@datascience.library.claremont.edu
SUMMARY:QCL Workshop - Tableau: Visualization
DESCRIPTION:Virtual Event \n\n\n\nTableau is the most powerful\, secure\, and flexible end-to-end analytics platform for your data. It is designed for the individual\, but scaled for the enterprise\, Tableau is the only business intelligence platform that turns your data into insights that drive action. \n\n\n\ntableau public gallery: \n\n\n\nhttps://public.tableau.com/en-us/gallery/analyzing-ums?gallery=votd \n\n\n\nTarget Audience \n\n\n\nThis workshop is designed for beginners in data visualization. No prior programming knowledge is needed. \n\n\n\nRequired Software/Account \n\n\n\n\nTableau offers one-year Tableau licenses to faculty and students at accredited academic institutions.\n\n\n\nInstall Tableau\n\n\n\n\nPublic Version: https://public.tableau.com/en-us/s/download Free Trial: https://www.tableau.com/en-gb/products/trial Students Access: https://www.tableau.com/academic/students Faculty Access: https://www.tableau.com/academic/teaching \n\n\n\nAgenda \n\n\n\n\nWhat is Tableau\n\n\n\nTableau Desktop Workspace\n\n\n\nTableau Data Connections\n\n\n\nFiltering Data\n\n\n\nSorting and calculations\n\n\n\nCharts and graphs\n\n\n\nSharing and exporting\n\n\n\n\nBefore you start: \n\n\n\n\nTableau Desktop application is available on your PC.\n\n\n\nDownload Datasets for Hands-On exercise\n\n\n\nDatasets: http://bit.ly/qcl-tableau-Level1-data
URL:https://datascience.library.claremont.edu/event/qcl-workshop-tableau-visualization/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20241107T161500
DTEND;TZID=America/Los_Angeles:20241107T174500
DTSTAMP:20260404T014023
CREATED:20241030T184229Z
LAST-MODIFIED:20241030T184229Z
UID:1952-1730996100-1731001500@datascience.library.claremont.edu
SUMMARY:QCL Workshop - Tableau: Visualization
DESCRIPTION:Virtual Event \n\n\n\nTableau is the most powerful\, secure\, and flexible end-to-end analytics platform for your data. It is designed for the individual\, but scaled for the enterprise\, Tableau is the only business intelligence platform that turns your data into insights that drive action. \n\n\n\ntableau public gallery: \n\n\n\nhttps://public.tableau.com/en-us/gallery/analyzing-ums?gallery=votd \n\n\n\nTarget Audience \n\n\n\nThis workshop is designed for beginners in data visualization. No prior programming knowledge is needed. \n\n\n\nRequired Software/Account \n\n\n\n\nTableau offers one-year Tableau licenses to faculty and students at accredited academic institutions.\n\n\n\nInstall Tableau\n\n\n\n\nPublic Version: https://public.tableau.com/en-us/s/download Free Trial: https://www.tableau.com/en-gb/products/trial Students Access: https://www.tableau.com/academic/students Faculty Access: https://www.tableau.com/academic/teaching \n\n\n\nAgenda \n\n\n\n\nWhat is Tableau\n\n\n\nTableau Desktop Workspace\n\n\n\nTableau Data Connections\n\n\n\nFiltering Data\n\n\n\nSorting and calculations\n\n\n\nCharts and graphs\n\n\n\nSharing and exporting\n\n\n\n\nBefore you start: \n\n\n\n\nTableau Desktop application is available on your PC.\n\n\n\nDownload Datasets for Hands-On exercise\n\n\n\nDatasets: http://bit.ly/qcl-tableau-Level1-data
URL:https://datascience.library.claremont.edu/event/qcl-workshop-tableau-visualization-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20241108T120000
DTEND;TZID=America/Los_Angeles:20241108T130000
DTSTAMP:20260404T014023
CREATED:20241030T184340Z
LAST-MODIFIED:20241030T184341Z
UID:1954-1731067200-1731070800@datascience.library.claremont.edu
SUMMARY:QCL Workshop - Bite-size Tech for Staff: Excel Charts and Graphs
DESCRIPTION:Free Event \n\n\n\nKravis Center\, Kravis 167 View map \n\n\n\nAdd to calendar \n\n\n\n888 Columbia Avenue\, Claremont\, CA \n\n\n\nJoin us for a series of engaging and practical workshop sessions designed to deepen your Excel proficiency. Our workshops are tailored to provide hands-on learning experiences\, equipping you with essential skills and techniques to excel in spreadsheet management. \n\n\n\nWorkshop Topics: \n\n\n\nConditional Formatting: Learn how to effectively highlight and format data based on specific conditions. \n\n\n\nData Validation: Explore methods to ensure data accuracy and integrity through validation techniques. \n\n\n\nFormulas and Functions: Dive into advanced formula usage including Trim\, Proper\, Clean\, and how to deconstruct complex formulas for better understanding. \n\n\n\nCharts and Graphs: Master the art of data visualization with various chart types and setup for creating impactful dashboards. \n\n\n\nDashboards: Discover how to create dynamic dashboards to present your data in a visually appealing and informative way. \n\n\n\nWorkshop Details: \n\n\n\n\nDuration: Each workshop runs for one hour.\n\n\n\nTiming: Lunchtime sessions from 12pm to 1pm.\n\n\n\nLocation: In-person at the Kravis 167 classroom.\n\n\n\n\nThese workshops will empower you to leverage Excel efficiently for data analysis\, reporting\, and decision-making. \n\n\n\nRegister now to secure your spot and take your Excel skills to the next level!
URL:https://datascience.library.claremont.edu/event/qcl-workshop-bite-size-tech-for-staff-excel-charts-and-graphs/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20241113T161500
DTEND;TZID=America/Los_Angeles:20241113T174500
DTSTAMP:20260404T014023
CREATED:20241030T185531Z
LAST-MODIFIED:20241030T185656Z
UID:1956-1731514500-1731519900@datascience.library.claremont.edu
SUMMARY:QCL Workshop - Python: Manipulating Data - Level 2
DESCRIPTION:Virtual Event \n\n\n\nReal-world data is messy. Pandas is a Python library built on top of NumPy that provides flexible and powerful tools for data manipulation and visualization. In this workshop\, you will learn how to extract\, transform\, and clean your data for further analysis. \n\n\n\n# PrerequisitesBasic knowledge of Python and Jupyter Notebooks (e.g. conditional statements\, for loops\, functions). \n\n\n\n## ParticipantsCMC Students\, Faculty\, and Staff
URL:https://datascience.library.claremont.edu/event/qcl-workshop-python-manipulating-data-level-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20241114T161500
DTEND;TZID=America/Los_Angeles:20241114T174500
DTSTAMP:20260404T014023
CREATED:20241030T185636Z
LAST-MODIFIED:20241202T233654Z
UID:1958-1731600900-1731606300@datascience.library.claremont.edu
SUMMARY:QCL Workshop - Python: Manipulating Data - Level 2
DESCRIPTION:Virtual Event \n\n\n\nReal-world data is messy. Pandas is a Python library built on top of NumPy that provides flexible and powerful tools for data manipulation and visualization. In this workshop\, you will learn how to extract\, transform\, and clean your data for further analysis. \n\n\n\n# Prerequisites \nBasic knowledge of Python and Jupyter Notebooks (e.g. conditional statements\, for loops\, functions). \n\n\n\nParticipants \nCMC Students\, Faculty\, and Staff
URL:https://datascience.library.claremont.edu/event/qcl-workshop-python-manipulating-data-level-2-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20241115T120000
DTEND;TZID=America/Los_Angeles:20241115T130000
DTSTAMP:20260404T014023
CREATED:20241105T000932Z
LAST-MODIFIED:20241105T000933Z
UID:1960-1731672000-1731675600@datascience.library.claremont.edu
SUMMARY:QCL Workshop - Bite-size Tech for Staff: Excel Dashboards
DESCRIPTION:Free Event \n\n\n\nKravis Center\, Kravis 167 View map \n\n\n\nAdd to calendar \n\n\n\n888 Columbia Avenue\, Claremont\, CA \n\n\n\nJoin us for a series of engaging and practical workshop sessions designed to deepen your Excel proficiency. Our workshops are tailored to provide hands-on learning experiences\, equipping you with essential skills and techniques to excel in spreadsheet management. \n\n\n\nWorkshop Topics: \n\n\n\nConditional Formatting: Learn how to effectively highlight and format data based on specific conditions. \n\n\n\nData Validation: Explore methods to ensure data accuracy and integrity through validation techniques. \n\n\n\nFormulas and Functions: Dive into advanced formula usage including Trim\, Proper\, Clean\, and how to deconstruct complex formulas for better understanding. \n\n\n\nCharts and Graphs: Master the art of data visualization with various chart types and setup for creating impactful dashboards. \n\n\n\nDashboards: Discover how to create dynamic dashboards to present your data in a visually appealing and informative way. \n\n\n\nWorkshop Details: \n\n\n\n\nDuration: Each workshop runs for one hour.\n\n\n\nTiming: Lunchtime sessions from 12pm to 1pm.\n\n\n\nLocation: In-person at the Kravis 167 classroom.\n\n\n\n\nThese workshops will empower you to leverage Excel efficiently for data analysis\, reporting\, and decision-making. \n\n\n\nRegister now to secure your spot and take your Excel skills to the next level!
URL:https://datascience.library.claremont.edu/event/qcl-workshop-bite-size-tech-for-staff-excel-dashboards/
END:VEVENT
END:VCALENDAR