BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Data Science Hub - ECPv6.18.2//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:Data Science Hub X-ORIGINAL-URL:https://datascience.library.claremont.edu X-WR-CALDESC:Events for Data Science Hub REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:20240310T100000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20241103T090000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:20250309T100000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20251102T090000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:20260308T100000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20261101T090000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:20270314T100000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20271107T090000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20261013T121500 DTEND;TZID=America/Los_Angeles:20261013T130000 DTSTAMP:20261008T225305Z CREATED:20261008T174841Z LAST-MODIFIED:20261008T225305Z UID:2285-1791893700-1791896400@datascience.library.claremont.edu SUMMARY:Pomona College - AWM x Tidy Tuesday (R Workshop) DESCRIPTION:Join Professor Hardin and the AWM community in a workshop/exploration of R! We will work through a data set together. Perfect for all skill levels – no experience necessary! \n💻 Learn or practice using R with peers \n🍕 Enjoy pizza for lunch URL:https://datascience.library.claremont.edu/event/pomona-college-awm-x-tidy-tuesday-r-workshop/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20261009T153000 DTEND;TZID=America/Los_Angeles:20261009T173000 DTSTAMP:20261008T203718Z CREATED:20261008T203718Z LAST-MODIFIED:20261008T203718Z UID:2290-1791559800-1791567000@datascience.library.claremont.edu SUMMARY:QCL Workshop - ArcGIS Online: Mapping Data - Level 1 DESCRIPTION:Summary \nGIS (or Geographic Information System) is a computer system that creates\, analyzes\, and displays geographic information and location-based data through maps. Thanks to massive data availability these days\, GIS has become one of the most important tools for data-driven decision making. See some examples of how GIS is used: https://www.esri.com/en-us/what-is-gis/overview. Through this workshop (basics and data exploration)\, you will learn about the basics of ArcGIS and create a special map using its analysis tool. \n  \nTarget Audience \nThis workshop is designed for beginners to GIS. No prior knowledge is needed. \n  \nRequired Software/Account \nArcGIS: To create an ArcGIS online account\, please see this instructions page at https://libguides.libraries.claremont.edu/c.php?g=1171259&p=8555912. Students\, faculty and staff at CMC have free access to a wide variety of Esri GIS products. To learn more about the other tools\, please contact Dr. Jeanine Finn at the Claremont Library. \n  \nAgenda \n\nWhat is GIS?\nClassic ArcGIS online overview\nBase and Layers\nAnalysis\nEdits\nSave and Send to New ArcGIS Online\nPrint and Share\nEndnotes\n\n  \nPre-requisites \nThis workshop is designed for beginners to GIS. No prior knowledge is needed. \n  \nBefore you start \nBring Computer with internet connection \n  \nData \nLayers from ArcGIS online and Atlas \n  \nInstructor: Daniel Perez \n  \nParticipants \nAll CMC Students\, Faculty\, and Staff\, and All Claremont Colleges Students\, Faculty\, and Staff. URL:https://datascience.library.claremont.edu/event/qcl-workshop-arcgis-online-mapping-data-level-1/ LOCATION:QCL: Murty Sunak Quantitative and Computing Lab\, Kravis Center\, Lower Court END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20261009T130000 DTEND;TZID=America/Los_Angeles:20261009T150000 DTSTAMP:20261008T175156Z CREATED:20261008T175156Z LAST-MODIFIED:20261008T175156Z UID:2268-1791550800-1791558000@datascience.library.claremont.edu SUMMARY:QCL Workshop - Excel: Exploring Data - Level 1 DESCRIPTION:In this workshop\, we’ll cover some basic features and functions to familiarize you with Microsoft Excel. \nSome topics we’ll cover in this 2-hour lesson include: \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 (note: we will try to get to this)\n\n  \nPre-requisites \nNo prior experience with Excel is needed. Attendees are asked to have a local installation of Microsoft Excel or access to Excel Online through Office on their own computers for the workshop. \n  \nInstructor: Joan Zheng \n  \nParticipants: \nAll CMC Students\, Faculty\, and Staff\, and All Claremont Colleges Students\, Faculty\, and Staff. URL:https://datascience.library.claremont.edu/event/qcl-workshop-excel-exploring-data-level-1-8/ LOCATION:QCL: Murty Sunak Quantitative and Computing Lab\, Kravis Center\, Lower Court END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20260918T153000 DTEND;TZID=America/Los_Angeles:20260918T173000 DTSTAMP:20260903T000903Z CREATED:20260903T000845Z LAST-MODIFIED:20260903T000903Z UID:2266-1789745400-1789752600@datascience.library.claremont.edu SUMMARY:QCL Workshop - LaTeX: Equation Writing - Level 1 DESCRIPTION:Summary: \nEver 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: \nThere is no prior experience needed to attend this workshop. \nInstructor: \nDr. Bhaven Mistry \nParticipants: \nAll CMC Students\, Faculty\, and Staff\, and All Claremont Colleges Students\, Faculty\, and Staff. URL:https://datascience.library.claremont.edu/event/qcl-workshop-latex-equation-writing-level-1-7/ LOCATION:QCL: Murty Sunak Quantitative and Computing Lab\, Kravis Center\, Lower Court END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20260918T130000 DTEND;TZID=America/Los_Angeles:20260918T150000 DTSTAMP:20260903T000759Z CREATED:20260903T000759Z LAST-MODIFIED:20260903T000759Z UID:2264-1789736400-1789743600@datascience.library.claremont.edu SUMMARY:QCL Workshop - GitHub: Version Control - Level 1 DESCRIPTION:This hands-on workshop introduces participants to Git\, a powerful version control system widely used in software development. Designed for beginners\, the session covers essential Git concepts\, including repository setup\, branching\, merging\, and collaborative workflows. Participants will gain practical experience in tracking code changes\, managing repositories\, and implementing best practices for seamless team collaboration. The workshop will utilize GitHub Web and GitHub Desktop to provide a user-friendly introduction\, equipping attendees with the foundational skills needed to confidently work with version control systems. \n  \nAgenda: \n\nVersion Control systems\nGit and GitHub\nCreate an organization\nCreate a repository\nCreate issues\nForking a repository\nCloning a repository\nBranching a project\nContributing to a repository\nCode review and merging\n\n  \nPre-requisites: \n\nInternet use: Introductory level\nGitHub account\n\n  \nInstructor: \nDaniel Perez \n  \nParticipants: \nAll CMC Students\, Faculty\, and Staff\, and All Claremont Colleges Students\, Faculty\, and Staff. URL:https://datascience.library.claremont.edu/event/qcl-workshop-github-version-control-level-1-2/ LOCATION:QCL: Murty Sunak Quantitative and Computing Lab\, Kravis Center\, Lower Court END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20260911T153000 DTEND;TZID=America/Los_Angeles:20260911T173000 DTSTAMP:20260903T000715Z CREATED:20260903T000715Z LAST-MODIFIED:20260903T000715Z UID:2261-1789140600-1789147800@datascience.library.claremont.edu SUMMARY:QCL Workshop - GitHub: Version Control - Level 1 DESCRIPTION:This hands-on workshop introduces participants to Git\, a powerful version control system widely used in software development. Designed for beginners\, the session covers essential Git concepts\, including repository setup\, branching\, merging\, and collaborative workflows. Participants will gain practical experience in tracking code changes\, managing repositories\, and implementing best practices for seamless team collaboration. The workshop will utilize GitHub Web and GitHub Desktop to provide a user-friendly introduction\, equipping attendees with the foundational skills needed to confidently work with version control systems. \n  \nAgenda: \n\nVersion Control systems\nGit and GitHub\nCreate an organization\nCreate a repository\nCreate issues\nForking a repository\nCloning a repository\nBranching a project\nContributing to a repository\nCode review and merging\n\n  \nPre-requisites: \n\nInternet use: Introductory level\nGitHub account\n\n  \nInstructor: \nDaniel Perez \n  \nParticipants: \nAll CMC Students\, Faculty\, and Staff\, and All Claremont Colleges Students\, Faculty\, and Staff. URL:https://datascience.library.claremont.edu/event/qcl-workshop-github-version-control-level-1/ LOCATION:QCL: Murty Sunak Quantitative and Computing Lab\, Kravis Center\, Lower Court END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20260911T130000 DTEND;TZID=America/Los_Angeles:20260911T150000 DTSTAMP:20260903T000228Z CREATED:20260903T000228Z LAST-MODIFIED:20260903T000228Z UID:2258-1789131600-1789138800@datascience.library.claremont.edu SUMMARY:QCL Workshop - LaTeX: Equation Writing - Level 1 DESCRIPTION:Summary: \nEver 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: \nThere is no prior experience needed to attend this workshop. \nInstructor: \nDr. Bhaven Mistry \nParticipants: \nAll CMC Students\, Faculty\, and Staff\, and All Claremont Colleges Students\, Faculty\, and Staff. URL:https://datascience.library.claremont.edu/event/qcl-workshop-latex-equation-writing-level-1-6/ LOCATION:QCL: Murty Sunak Quantitative and Computing Lab\, Kravis Center\, Lower Court END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20260424T153000 DTEND;TZID=America/Los_Angeles:20260424T173000 DTSTAMP:20260406T183941Z CREATED:20260406T183941Z LAST-MODIFIED:20260406T183941Z UID:2210-1777044600-1777051800@datascience.library.claremont.edu SUMMARY:QCL Workshop - Excel: Conditioning Data - Level 2 DESCRIPTION:This Excel Level 2 workshop will cover more functions and features to save you some time while working with Excel. \nIn this 1.5-hour workshop\, we hope to get you started with: \n– Pivot Table \n– More Lookup functions: VLOOKUP (approximate match)\, INDEX\, and MATCH \n– Most common functions: Count and Sum \n– Logical functions: IF\, AND\, OR\, and NOT \nThe workshop is designed to continue from the QCL Excel Basics Level 1 Workshop.  However\, anyone is welcome to register. \nPre-requisites \nInternet Use: Introductory level (search\, log-in\, navigation of websites\, etc.) \nLocal installation (if you bring your laptop): Microsoft Excel (any version)Software knowledge: basic Excel skills \nParticipants \nAll CMC Students\, Faculty\, and Staff\, and All Claremont Colleges Students\, Faculty\, and Staff URL:https://datascience.library.claremont.edu/event/qcl-workshop-excel-conditioning-data-level-2-6/ LOCATION:QCL: Murty Sunak Quantitative and Computing Lab\, Kravis Center\, Lower Court END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20260424T130000 DTEND;TZID=America/Los_Angeles:20260424T150000 DTSTAMP:20260406T183827Z CREATED:20260406T183827Z LAST-MODIFIED:20260406T183827Z UID:2208-1777035600-1777042800@datascience.library.claremont.edu SUMMARY:QCL Workshop - PowerBI: Visualizing Data - Level 1 DESCRIPTION:Power BI is a powerful\, secure\, and flexible analytics platform designed for individuals and built to scale across organizations. Power BI helps you turn raw data into interactive visualizations and dashboards that drive informed decision-making. \nPower BI Public Gallery:\nhttps://community.powerbi.com/t5/Data-Stories-Gallery/bd-p/DataStoriesGallery \nTarget Audience \nThis workshop is designed for beginners in data visualization using Power BI Service (web-based). No prior programming knowledge is needed. \nRequired Software/Account \n\nPower BI Service is free for individuals with a work or school email.\nNo installation is required—Power BI runs entirely in the browser.\nCreate an account and sign in:\nhttps://app.powerbi.com\nMicrosoft offers free licenses for students at accredited academic institutions.\n\nAgenda \n\nWhat is Power BI?\nPower BI Service Interface Overview\nUploading and Exploring Data\nBuilding Visuals (bar chart\, histogram\, scatter plot)\nFilters and Interactivity\nCreating a Dashboard\nSharing and Publishing\n\nBefore You Start \n\nYou have access to Power BI Service via https://app.powerbi.com/home?experience=power-bi\n\nParticipants \nAll CMC Students\, Faculty\, and Staff\, and All Claremont Colleges Students\, Faculty\, and Staff URL:https://datascience.library.claremont.edu/event/qcl-workshop-powerbi-visualizing-data-level-1-3/ LOCATION:QCL: Murty Sunak Quantitative and Computing Lab\, Kravis Center\, Lower Court END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20260417T153000 DTEND;TZID=America/Los_Angeles:20260417T173000 DTSTAMP:20260406T182601Z CREATED:20260406T182601Z LAST-MODIFIED:20260406T182601Z UID:2206-1776439800-1776447000@datascience.library.claremont.edu SUMMARY:QCL Workshop - PowerBI: Visualizing Data - Level 1 DESCRIPTION:Power BI is a powerful\, secure\, and flexible analytics platform designed for individuals and built to scale across organizations. Power BI helps you turn raw data into interactive visualizations and dashboards that drive informed decision-making. \nPower BI Public Gallery:\nhttps://community.powerbi.com/t5/Data-Stories-Gallery/bd-p/DataStoriesGallery \nTarget Audience \nThis workshop is designed for beginners in data visualization using Power BI Service (web-based). No prior programming knowledge is needed. \nRequired Software/Account \n\nPower BI Service is free for individuals with a work or school email.\nNo installation is required—Power BI runs entirely in the browser.\nCreate an account and sign in:\nhttps://app.powerbi.com\nMicrosoft offers free licenses for students at accredited academic institutions.\n\nAgenda \n\nWhat is Power BI?\nPower BI Service Interface Overview\nUploading and Exploring Data\nBuilding Visuals (bar chart\, histogram\, scatter plot)\nFilters and Interactivity\nCreating a Dashboard\nSharing and Publishing\n\nBefore You Start \n\nYou have access to Power BI Service via https://app.powerbi.com/home?experience=power-bi\n\nParticipants \nAll CMC Students\, Faculty\, and Staff\, and All Claremont Colleges Students\, Faculty\, and Staff URL:https://datascience.library.claremont.edu/event/qcl-workshop-powerbi-visualizing-data-level-1-2/ LOCATION:QCL: Murty Sunak Quantitative and Computing Lab\, Kravis Center\, Lower Court END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20260417T130000 DTEND;TZID=America/Los_Angeles:20260417T150000 DTSTAMP:20260406T182503Z CREATED:20260406T182503Z LAST-MODIFIED:20260406T182503Z UID:2204-1776430800-1776438000@datascience.library.claremont.edu SUMMARY:QCL Workshop - Python: Exploring Data - Level 2 DESCRIPTION:Real-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. \nPrerequisites\nBasic knowledge of Python and Jupyter Notebooks (e.g. conditional statements\, for loops\, functions). \nParticipants\nAll CMC Students\, Faculty\, and Staff\, and All Claremont Colleges Students\, Faculty\, and Staff URL:https://datascience.library.claremont.edu/event/qcl-workshop-python-exploring-data-level-2/ LOCATION:QCL: Murty Sunak Quantitative and Computing Lab\, Kravis Center\, Lower Court END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20260410T153000 DTEND;TZID=America/Los_Angeles:20260410T173000 DTSTAMP:20260302T192330Z CREATED:20260302T192330Z LAST-MODIFIED:20260302T192330Z UID:2199-1775835000-1775842200@datascience.library.claremont.edu SUMMARY:QCL Workshop - Python: Manipulating Data - Level 2 DESCRIPTION:Real-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. \nPrerequisites\nBasic knowledge of Python and Jupyter Notebooks (e.g. conditional statements\, for loops\, functions). \nQualified Participants\nCMC Students\, Faculty\, and Staff URL:https://datascience.library.claremont.edu/event/qcl-workshop-python-manipulating-data-level-2-7/ LOCATION:QCL: Murty Sunak Quantitative and Computing Lab\, Kravis Center\, Lower Court END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20260410T130000 DTEND;TZID=America/Los_Angeles:20260410T150000 DTSTAMP:20260302T192233Z CREATED:20260302T192233Z LAST-MODIFIED:20260302T192233Z UID:2197-1775826000-1775833200@datascience.library.claremont.edu SUMMARY:QCL Workshop - Qualtrics: From Surveys to Insights - Level 1 DESCRIPTION:Qualtrics is a web-based survey software that can be used to support data gathering initiatives (e.g.\, teaching\, research\, institutional feedback) at CMC. \nPurpose\nThis workshop will be an introduction to Qualtrics at CMC. It is intended for beginning users with little to no experience. The workshop will also touch on intermediate topics such as survey logic and controlled distributions. \nPrerequisite\nUsers should create a Qualtrics account on the CMC instance at https://claremontmckenna.co1.qualtrics.com/login/enrollment?path=%2FControlPanel%2F&product=ControlPanel using a CMC email address. \nAgenda\nThis workshop will cover the following general topics: \n\nCreating a survey\n\nQuestion types and editing\nUsing survey logic\nPrivacy settings and collaboration\nEmbedding data\n\n\nBuilding and using contacts lists\nSurvey distribution\nCreating reports and managing data\n\nIntended Audience\nCMC Students\, Staff\, and Faculty URL:https://datascience.library.claremont.edu/event/qcl-workshop-qualtrics-from-surveys-to-insights-level-1-2/ LOCATION:QCL: Murty Sunak Quantitative and Computing Lab\, Kravis Center\, Lower Court END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20260403T153000 DTEND;TZID=America/Los_Angeles:20260403T173000 DTSTAMP:20260302T185638Z CREATED:20260302T185638Z LAST-MODIFIED:20260302T185638Z UID:2195-1775230200-1775237400@datascience.library.claremont.edu SUMMARY:QCL Workshop - Excel: Exploring Data - Level 1 DESCRIPTION:In this workshop\, we’ll cover some basic features and functions to familiarize you with Microsoft Excel. \nSome topics we’ll cover in this 2-hour lesson include: \n– Learn how to move around the Excel Environment\n– Learn how to move data around with Sort\n– Learn how to highlight and hide data with Filter and Conditional Formatting\n– Make a simple search feature with VLOOKUP (exact match)\n– Make simple Calculations about your data\n– Put data in bins for visuals with Frequency (note: we will try to get to this) \nPre-requisites\nNo prior experience with Excel is needed.  Attendees are asked to have a local installation of Microsoft Excel or access to Excel Online through Office on their own computers for the workshop. \nParticipants\nAll CMC Students\, Faculty\, and Staff\, and All Claremont Colleges Students\, Faculty\, and Staff URL:https://datascience.library.claremont.edu/event/qcl-workshop-excel-exploring-data-level-1-7/ LOCATION:QCL: Murty Sunak Quantitative and Computing Lab\, Kravis Center\, Lower Court END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20260403T130000 DTEND;TZID=America/Los_Angeles:20260403T150000 DTSTAMP:20260302T185453Z CREATED:20260302T185453Z LAST-MODIFIED:20260302T185453Z UID:2193-1775221200-1775228400@datascience.library.claremont.edu SUMMARY:QCL Workshop - SQL: Querying Databases - Level 1 DESCRIPTION:SQL 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. In this session we will be learning Data Manipulation Language (DML)\, and Data Query Language (DQL). \nAgenda \n\nInserting data\nQuerying a table\nJoining tables\nHands-on activities\n\nPre-requisites:\nInternet Use: Introductory level (search\, log-in\, navigation of websites\, etc.)\nLocal installation: DBeaver (any version)\nSoftware knowledge: basic computer skills\nDownload the repo and follow the exercises! Click here \nParticipants\nAll CMC Students\, Faculty\, and Staff\, and All Claremont Colleges Students\, Faculty\, and Staff URL:https://datascience.library.claremont.edu/event/qcl-workshop-sql-querying-databases-level-1-2/ LOCATION:QCL: Murty Sunak Quantitative and Computing Lab\, Kravis Center\, Lower Court END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20260313T153000 DTEND;TZID=America/Los_Angeles:20260313T173000 DTSTAMP:20260302T185520Z CREATED:20260302T181146Z LAST-MODIFIED:20260302T185520Z UID:2191-1773415800-1773423000@datascience.library.claremont.edu SUMMARY:QCL Workshop - SQL: Querying Databases - Level 1 DESCRIPTION:SQL 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. In this session we will be learning Data Manipulation Language (DML)\, and Data Query Language (DQL). \nAgenda \n\nInserting data\nQuerying a table\nJoining tables\nHands-on activities\n\nPre-requisites:\nInternet Use: Introductory level (search\, log-in\, navigation of websites\, etc.)\nLocal installation: DBeaver (any version)\nSoftware knowledge: basic computer skills\nDownload the repo and follow the exercises! Click here \nParticipants\nAll CMC Students\, Faculty\, and Staff\, and All Claremont Colleges Students\, Faculty\, and Staff URL:https://datascience.library.claremont.edu/event/qcl-workshop-sql-querying-databases-level-1/ LOCATION:QCL: Murty Sunak Quantitative and Computing Lab\, Kravis Center\, Lower Court END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20260306T130000 DTEND;TZID=America/Los_Angeles:20260306T150000 DTSTAMP:20260212T003301Z CREATED:20260212T003301Z LAST-MODIFIED:20260212T003301Z UID:2181-1772802000-1772809200@datascience.library.claremont.edu SUMMARY:QCL Workshop - Excel: Exploring Data - Level 1 DESCRIPTION:In this workshop\, we’ll cover some basic features and functions to familiarize you with Microsoft Excel. \nSome topics we’ll cover in this 2-hour lesson include: \n– Learn how to move around the Excel Environment\n– Learn how to move data around with Sort\n– Learn how to highlight and hide data with Filter and Conditional Formatting\n– Make a simple search feature with VLOOKUP (exact match)\n– Make simple Calculations about your data\n– Put data in bins for visuals with Frequency (note: we will try to get to this) \nPre-requisites \nNo prior experience with Excel is needed.  Attendees are asked to have a local installation of Microsoft Excel or access to Excel Online through Office on their own computers for the workshop. \nParticipants \nAll CMC Students\, Faculty\, and Staff\, and All Claremont Colleges Students\, Faculty\, and Staff URL:https://datascience.library.claremont.edu/event/qcl-workshop-excel-exploring-data-level-1-6/ LOCATION:QCL: Murty Sunak Quantitative and Computing Lab\, Kravis Center\, Lower Court END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20260306T153000 DTEND;TZID=America/Los_Angeles:20260306T173000 DTSTAMP:20260212T003201Z CREATED:20260212T003201Z LAST-MODIFIED:20260212T003201Z UID:2179-1772811000-1772818200@datascience.library.claremont.edu SUMMARY:QCL Workshop - GIT: Version Control for Beginners - Level 1 DESCRIPTION:This hands-on workshop introduces participants to Git\, a powerful version control system widely used in software development. Designed for beginners\, the session covers essential Git concepts\, including repository setup\, branching\, merging\, and collaborative workflows. Participants will gain practical experience in tracking code changes\, managing repositories\, and implementing best practices for seamless team collaboration. The workshop will utilize GitHub Web and GitHub Desktop to provide a user-friendly introduction\, equipping attendees with the foundational skills needed to confidently work with version control systems.\nAgenda:\nVersion Control systems\nGit and GitHub\nCreate an organization\nCreate a repository\nCreate issues\nForking a repository\nCloning a repository\nBranching a project\nContributing to a repository\nCode review and merging \nPre-requisites:\n\nInternet use: Introductory level\nGitHub account\nGitHub desktop: Installed\n\nParticipants:\nAll CMC Students\, Faculty\, and Staff\, and All Claremont Colleges Students\, Faculty\, and Staff. URL:https://datascience.library.claremont.edu/event/qcl-workshop-git-version-control-for-beginners-level-1-3/ LOCATION:QCL: Murty Sunak Quantitative and Computing Lab\, Kravis Center\, Lower Court END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20260227T153000 DTEND;TZID=America/Los_Angeles:20260227T173000 DTSTAMP:20260212T003110Z CREATED:20260212T002950Z LAST-MODIFIED:20260212T003110Z UID:2176-1772206200-1772213400@datascience.library.claremont.edu SUMMARY:QCL Workshop - ArcGIS Online: Exploring GIS Libraries - Level 1 DESCRIPTION:GIS (or Geographic Information System) is a computer system that creates\, analyzes\, and displays geographic information and location-based data through maps. Thanks to massive data availability these days\, GIS has become one of the most important tools for data-driven decision making. See some examples of how GIS is used: https://www.esri.com/en-us/what-is-gis/overview. Through this workshop (basics and data exploration)\, you will learn about the basics of ArcGIS and create a special map using its analysis tool. \nQCL Literacy: L1-Visual Data \nInstructor: Daniel Perez\, Quantitative and Computing Lab at Claremont McKenna College \nTarget Audience \nThis workshop is designed for beginners to GIS. No prior knowledge is needed. \nRequired Software/Account \nArcGIS: To create an ArcGIS online account\, please see this instructions page at https://libguides.libraries.claremont.edu/c.php?g=1171259&p=8555912. Students\, faculty and staff at CMC have free access to a wide variety of Esri GIS products. To learn more about the other tools\, please contact Dr. Jeanine Finn at the Claremont Library. \nAgenda \n\nWhat is GIS?\nClassic ArcGIS online overview\nBase and Layers\nAnalysis\nEdits\nSave and Send to New ArcGIS Online\nPrint and Share\nEndnotes\n\nBefore you start: \nBring Computer with internet connection \nData \nLayers from ArcGIS online and Atlas URL:https://datascience.library.claremont.edu/event/qcl-workshop-git-version-control-for-beginners-level-1-2/ LOCATION:QCL: Murty Sunak Quantitative and Computing Lab\, Kravis Center\, Lower Court END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20260227T130000 DTEND;TZID=America/Los_Angeles:20260227T150000 DTSTAMP:20260212T002843Z CREATED:20260212T002843Z LAST-MODIFIED:20260212T002843Z UID:2174-1772197200-1772204400@datascience.library.claremont.edu SUMMARY:QCL Workshop - GIT: Version Control for Beginners - Level 1 DESCRIPTION:This hands-on workshop introduces participants to Git\, a powerful version control system widely used in software development. Designed for beginners\, the session covers essential Git concepts\, including repository setup\, branching\, merging\, and collaborative workflows. Participants will gain practical experience in tracking code changes\, managing repositories\, and implementing best practices for seamless team collaboration. The workshop will utilize GitHub Web and GitHub Desktop to provide a user-friendly introduction\, equipping attendees with the foundational skills needed to confidently work with version control systems.\nAgenda:\nVersion Control systems\nGit and GitHub\nCreate an organization\nCreate a repository\nCreate issues\nForking a repository\nCloning a repository\nBranching a project\nContributing to a repository\nCode review and merging \nPre-requisites:\n\nInternet use: Introductory level\nGitHub account\nGitHub desktop: Installed\n\nParticipants:\nAll CMC Students\, Faculty\, and Staff\, and All Claremont Colleges Students\, Faculty\, and Staff. URL:https://datascience.library.claremont.edu/event/qcl-workshop-git-version-control-for-beginners-level-1/ LOCATION:QCL: Murty Sunak Quantitative and Computing Lab\, Kravis Center\, Lower Court END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20260227T120000 DTEND;TZID=America/Los_Angeles:20260228T183000 DTSTAMP:20260720T204219Z CREATED:20260212T181527Z LAST-MODIFIED:20260720T204219Z UID:2183-1772193600-1772303400@datascience.library.claremont.edu SUMMARY:Harvey Mudd College - Driving the Impact of Data Science (DIoDS) Conference DESCRIPTION:From Data to Doing\nFeb. 27–28\, 2026\nHarvey Mudd College \nThe DIoDS conference is part of an ambitious initiative at Harvey Mudd College to build a hub for Data Science and Social Impact. This space will be an interdisciplinary center where research\, education and community partnership meet to shape the future of socially responsible data science. This conference is part of our key programming and aims to convene the networks\, conversations and collaborations we hope will characterize our emerging institute. \nThe DIoDS conference will bring together academics\, civic and public leaders\, industry professionals\, community leaders and students to explore how data science can be leveraged responsibly to serve society. Our goal is to transform data-driven insights into meaningful\, equitable and sustainable action. \nPlenary Speakers\n\n\n\nNathan Alexander\, PhD\nAssistant Professor of Curriculum and Instruction School of Education and the Center for Applied Data Science and Analytics\, Howard University \n\n\nNathan Alexander\, PhD\, is an assistant professor of curriculum and instruction in the Howard University School of Education and the Center for Applied Data Science and Analytics (CADSA). His research focuses on the history and development of quantitative and mathematical literacy\, and he examines the role of context in probability theory\, statistical data analysis\, and mathematical education. He is the founder and director of the Quantitative Histories Workshop\, a computational curriculum collective and community-centered teaching and learning lab. His research and writing have appeared in the Journal of Humanistic Mathematics\,Notices of the American Mathematical Society\, and PRIMUS: Problems\, Resources\, and Issues in Mathematics Undergraduate Studies. His work is inspired by the legacy of the great\, late Bob Moses — civil rights and mathematics literacy activist\, and founder of the Algebra Project. \n\n\n\n\nJoseph Robertson\, PhD\nChief Data ScientistMato Ohitika Analytics LLC\, home of the Data Sovereignty Initiative \n\n\nDr. Joseph Robertson is a citizen and enrolled member of the Sisseton Wahpeton Oyate of the Lake Traverse Reservation and is the founder and Chief Data Scientist of Mato Ohitika Analytics LLC. Dr. Robertson’s commitment to speak with students\, faculty\, community members\, and grass roots organizations about his work is part of Mato Ohitika Analytics LLC’s broader educational and citizen science initiatives to bring the Indigenous Perspective Praxis’s holistic data science workflow designs to underrepresented communities and to provide equitable access through building academic\, cultural\, and community partnerships. \nDr. Robertson is currently an adjunct professor of statistics and holds a PhD in Computational Science and Statistics and a Master of Science in Statistics from South Dakota State University\, and a Bachelor of Science in Mathematics from Colorado State University. \n\n\n\n\nDavid Uminsky\, PhD ’03\nExecutive Director and Research ProfessorData Science Institute\, University of Chicago \n\n\nDavid Uminsky joined the University of Chicago in September 2020 and is currently a Research Professor and Executive Director of Data Science. He was previously an associate professor of Mathematics and Executive Director of the Data Institute at University of San Francisco (USF). His research interests are in machine learning\, signal processing\, data science for social impact\, pattern formation\, and dynamical systems.  David is an associate editor of the Harvard Data Science Review.  He was selected in 2015 by the National Academy of Sciences as a Kavli Frontiers of Science Fellow. He is also the founding Director of the BS in Data Science at USF and served as Director of the MS in Data Science program from 2014-2019. During the summer of 2018\, David served as the Director of Research for the Mathematical Science Research Institute Undergrad Program on the topic of Mathematical Data Science. \nBefore joining USF he was a combined NSF and UC President’s Fellow at UCLA\, where he was awarded the Chancellor’s Award for outstanding postdoctoral research. He holds a Ph.D. in Mathematics from Boston University and a BS in Mathematics from Harvey Mudd College. \n\n\n\nWays you can contribute at the conference\n\nAttend the Connections Lunch (Students only; Friday)\nEngage with the panel (Friday)\nPresent a poster or contribute a talk on your work (Saturday)\nFacilitate a discussion on pressing topic (Saturday)\nLead a session on how to involve students\, faculty\, and staff in community work (Community partners; Saturday)\n\nWe are committed to keeping this conference accessible to all\, which is why there is no cost to register or attend. In the spirit of shared responsibility\, please keep us informed if your plans change so we can allocate resources effectively. \nConference contact: Diods-conference-l@g.hmc.edu \nOrganizers: Andrés R. Vindas Meléndez (conference chair)\, Gabriela Gamiz\, Sarah Kavassalis\, Haydee Lindo (DSSI co-lead)\, Talithia Williams (DSSI co-lead)\, Susan Martonosi (DSSI co-lead)\, Heather Brooks\, Jamie Haddock\, Elsa Li (student organizer)\, Alyssa Sawyer (student organizer). URL:https://datascience.library.claremont.edu/event/harvey-mudd-college-driving-the-impact-of-data-science-diods-conference/ LOCATION:Harvey Mudd College END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20260220T153000 DTEND;TZID=America/Los_Angeles:20260220T173000 DTSTAMP:20260212T002710Z CREATED:20260212T002710Z LAST-MODIFIED:20260212T002710Z UID:2168-1771601400-1771608600@datascience.library.claremont.edu SUMMARY:QCL Workshop - Python: Programming Basics Level 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. \nThis is a workshop designed for beginners\, so no prior knowledge of Python or any programming language is needed. \nLearning Objectives \n\nPython Programming Environment\n\nAnaconda\nJupyter Notebook\nVersion Control System: Git/GitHub\n\n\nFunctions\nVariables\nData Structures\n\nLists\nDictionaries\n\n\nFor Loops\nConditional Statements (if… else…)\nHands-On Task (if time permits for the second workshop)\n\nPrerequisites\nThis is a Level 1 Workshop\, so no programming knowledge is assumed. \nParticipants\nAll CMC Students\, Faculty\, and Staff\, and All Claremont Colleges Students\, Faculty\, and Staff. URL:https://datascience.library.claremont.edu/event/qcl-workshop-python-programming-basics-level-1-3/ LOCATION:QCL: Murty Sunak Quantitative and Computing Lab\, Kravis Center\, Lower Court END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20260220T130000 DTEND;TZID=America/Los_Angeles:20260220T150000 DTSTAMP:20260212T002556Z CREATED:20260212T002556Z LAST-MODIFIED:20260212T002556Z UID:2169-1771592400-1771599600@datascience.library.claremont.edu SUMMARY:QCL Workshop - R: Exploring Data - Level 2 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. \nLearning Objectives: (You will learn how to) \n– Understand the R-Studio environment on the cloud \n– Use the console for basic statistics tools \n– Produce documents with plots of your data findings \nPre-requisites \n– Posit Cloud account; if you don’t have one yet\, please create a new account at https://posit.cloud/ \n– No prior experience with R or any programming is needed. \nParticipants \nAll CMC Students\, Faculty\, and Staff\, and All Claremont Colleges Students\, Faculty\, and Staff. URL:https://datascience.library.claremont.edu/event/qcl-workshop-r-exploring-data-level-2-5/ LOCATION:QCL: Murty Sunak Quantitative and Computing Lab\, Kravis Center\, Lower Court END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20260213T153000 DTEND;TZID=America/Los_Angeles:20260213T173000 DTSTAMP:20260212T002348Z CREATED:20260212T002146Z LAST-MODIFIED:20260212T002348Z UID:2161-1770996600-1771003800@datascience.library.claremont.edu SUMMARY:QCL Workshop - R: Exploring Data - Level 2 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. \nLearning Objectives: (You will learn how to) \n– Understand the R-Studio environment on the cloud \n– Use the console for basic statistics tools \n– Produce documents with plots of your data findings \nPre-requisites \n– Posit Cloud account; if you don’t have one yet\, please create a new account at https://posit.cloud/ \n– No prior experience with R or any programming is needed. \nParticipants \nAll CMC Students\, Faculty\, and Staff\, and All Claremont Colleges Students\, Faculty\, and Staff. URL:https://datascience.library.claremont.edu/event/qcl-workshop-python-programming-basics-level-1/ LOCATION:QCL: Murty Sunak Quantitative and Computing Lab\, Kravis Center\, Lower Court END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20260213T130000 DTEND;TZID=America/Los_Angeles:20260213T150000 DTSTAMP:20260212T002714Z CREATED:20260212T002451Z LAST-MODIFIED:20260212T002714Z UID:2166-1770987600-1770994800@datascience.library.claremont.edu SUMMARY:QCL Workshop - Python: Programming Basics Level 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. \nThis is a workshop designed for beginners\, so no prior knowledge of Python or any programming language is needed. \nLearning Objectives \n\nPython Programming Environment\n\nAnaconda\nJupyter Notebook\nVersion Control System: Git/GitHub\n\n\nFunctions\nVariables\nData Structures\n\nLists\nDictionaries\n\n\nFor Loops\nConditional Statements (if… else…)\nHands-On Task (if time permits for the second workshop)\n\nPrerequisites\nThis is a Level 1 Workshop\, so no programming knowledge is assumed. \nParticipants\nAll CMC Students\, Faculty\, and Staff\, and All Claremont Colleges Students\, Faculty\, and Staff. URL:https://datascience.library.claremont.edu/event/qcl-workshop-python-programming-basics-level-1-2/ LOCATION:QCL: Murty Sunak Quantitative and Computing Lab\, Kravis Center\, Lower Court END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20251121T133000 DTEND;TZID=America/Los_Angeles:20251121T153000 DTSTAMP:20251009T164713Z CREATED:20251009T164705Z LAST-MODIFIED:20251009T164713Z UID:2155-1763731800-1763739000@datascience.library.claremont.edu SUMMARY:QCL Workshop - PowerBI: Visualizing Data - Level 1 DESCRIPTION:Power BI is a powerful\, secure\, and flexible analytics platform designed for individuals and built to scale across organizations. Power BI helps you turn raw data into interactive visualizations and dashboards that drive informed decision-making. \nPower BI Public Gallery:\nhttps://community.powerbi.com/t5/Data-Stories-Gallery/bd-p/DataStoriesGallery \nTarget Audience \nThis workshop is designed for beginners in data visualization using Power BI Service (web-based). No prior programming knowledge is needed. \nRequired Software/Account \n\nPower BI Service is free for individuals with a work or school email.\nNo installation is required—Power BI runs entirely in the browser.\nCreate an account and sign in:\nhttps://app.powerbi.com\nMicrosoft offers free licenses for students at accredited academic institutions.\n\nAgenda \n\nWhat is Power BI?\nPower BI Service Interface Overview\nUploading and Exploring Data\nBuilding Visuals (bar chart\, histogram\, scatter plot)\nFilters and Interactivity\nCreating a Dashboard\nSharing and Publishing\n\nBefore You Start \n\nYou have access to Power BI Service via https://app.powerbi.com/home?experience=power-bi URL:https://datascience.library.claremont.edu/event/qcl-workshop-powerbi-visualizing-data-level-1/ LOCATION:Robert Day Science Center\, Claremont McKenna College\, 681 Claremont Blvd\, Claremont\, CA\, United States END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20251118T150000 DTEND;TZID=America/Los_Angeles:20251118T170000 DTSTAMP:20251009T164621Z CREATED:20251009T164621Z LAST-MODIFIED:20251009T164621Z UID:2153-1763478000-1763485200@datascience.library.claremont.edu SUMMARY:QCL Workshop - Tableau: Visualizing Data - Level 1 DESCRIPTION:Tableau 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  \nTableau Public Gallery: \nhttps://public.tableau.com/en-us/gallery/analyzing-ums?gallery=votd \n  \nTarget Audience \nThis workshop is designed for beginners in data visualization. No prior programming knowledge is needed. \n  \nRequired Software/Account \n\nTableau offers one-year Tableau licenses to faculty and students at accredited academic institutions.\nInstall Tableau\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  \nAgenda \n\nWhat is Tableau\nTableau Desktop Workspace\nTableau Data Connections\nFiltering Data\nSorting and calculations\nCharts and graphs\nSharing and exporting\n\nBefore you start: \n\nTableau Desktop application is available on your PC.\nDownload Datasets for Hands-On exercise\nDatasets\n\nhttps://bit.ly/qcl-tableau-Level1-data URL:https://datascience.library.claremont.edu/event/qcl-workshop-tableau-visualizing-data-level-1-2/ LOCATION:Robert Day Science Center\, Claremont McKenna College\, 681 Claremont Blvd\, Claremont\, CA\, United States END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20251114T133000 DTEND;TZID=America/Los_Angeles:20251114T153000 DTSTAMP:20251009T162220Z CREATED:20251009T162220Z LAST-MODIFIED:20251009T162220Z UID:2149-1763127000-1763134200@datascience.library.claremont.edu SUMMARY:QCL Workshop - Excel: Conditioning Data - Level 2 DESCRIPTION:This Excel Level 2 workshop will cover more functions and features to save you some time while working with Excel. \nIn this 1.5-hour workshop\, we hope to get you started with: \n– Pivot Table \n– More Lookup functions: VLOOKUP (approximate match)\, INDEX\, and MATCH \n– Most common functions: Count and Sum \n– Logical functions: IF\, AND\, OR\, and NOT \nThe workshop is designed to continue from the QCL Excel Basics Level 1 Workshop.  However\, anyone is welcome to register. \nPre-requisites \nInternet Use: Introductory level (search\, log-in\, navigation of websites\, etc.) \nLocal installation (if you bring your laptop): Microsoft Excel (any version)Software knowledge: basic Excel skills \nParticipants \nCMC Students\, Faculty and Staff URL:https://datascience.library.claremont.edu/event/qcl-workshop-excel-conditioning-data-level-2-5/ LOCATION:Robert Day Science Center\, Claremont McKenna College\, 681 Claremont Blvd\, Claremont\, CA\, United States END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20251114T121500 DTEND;TZID=America/Los_Angeles:20251114T130000 DTSTAMP:20251009T160742Z CREATED:20251009T160742Z LAST-MODIFIED:20251009T160742Z UID:2131-1763122500-1763125200@datascience.library.claremont.edu SUMMARY:A Bite of Learning - From Tokens to Tonnes: What do we know about the environmental impact of LLMs? DESCRIPTION:Sarah Kavassalis\n12:15 – 1:00 pm\nGreen Room\, Joseph B Platt Campus Center\, Harvey Mudd College\n\nA Bite of Learning is a lunchtime speaker series about how technology can support teaching and learning. The series is sponsored by the Harvey Mudd College Office of Computing and Information Services (CIS) in collaboration with the Library of The Claremont Colleges. All faculty\, staff\, and students of The Claremont Colleges are invited. Presentations are informal\, with plenty of time for discussion and Q-and-A.\n\nVisit our website | Like us on Facebook\n\nHope to see you there! URL:https://datascience.library.claremont.edu/event/a-bite-of-learning-from-tokens-to-tonnes-what-do-we-know-about-the-environmental-impact-of-llms/ LOCATION:Green Room\, Joseph B Platt Campus Center\, Harvey Mudd College\, 340 E Foothill Blvd\, Claremont\, CA\, 91711\, United States CATEGORIES:A Bite of Learning END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20251111T150000 DTEND;TZID=America/Los_Angeles:20251111T170000 DTSTAMP:20251009T162149Z CREATED:20251009T162149Z LAST-MODIFIED:20251009T162149Z UID:2147-1762873200-1762880400@datascience.library.claremont.edu SUMMARY:QCL Workshop - Excel: Conditioning Data - Level 2 DESCRIPTION:This Excel Level 2 workshop will cover more functions and features to save you some time while working with Excel. \nIn this 1.5-hour workshop\, we hope to get you started with: \n– Pivot Table \n– More Lookup functions: VLOOKUP (approximate match)\, INDEX\, and MATCH \n– Most common functions: Count and Sum \n– Logical functions: IF\, AND\, OR\, and NOT \nThe workshop is designed to continue from the QCL Excel Basics Level 1 Workshop.  However\, anyone is welcome to register. \nPre-requisites \nInternet Use: Introductory level (search\, log-in\, navigation of websites\, etc.) \nLocal installation (if you bring your laptop): Microsoft Excel (any version)Software knowledge: basic Excel skills \nParticipants \nCMC Students\, Faculty and Staff URL:https://datascience.library.claremont.edu/event/qcl-workshop-excel-conditioning-data-level-2-4/ LOCATION:Robert Day Science Center\, Claremont McKenna College\, 681 Claremont Blvd\, Claremont\, CA\, United States END:VEVENT END:VCALENDAR