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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
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251107T133000
DTEND;TZID=America/Los_Angeles:20251107T153000
DTSTAMP:20251009T162030Z
CREATED:20251009T162030Z
LAST-MODIFIED:20251009T162030Z
UID:2145-1762522200-1762529400@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 1.5-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 Staff\, Faculty\, and Students
URL:https://datascience.library.claremont.edu/event/qcl-workshop-excel-exploring-data-level-1-5/
LOCATION:Robert Day Science Center\, Claremont McKenna College\, 681 Claremont Blvd\, Claremont\, CA\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251104T150000
DTEND;TZID=America/Los_Angeles:20251104T170000
DTSTAMP:20251009T161950Z
CREATED:20251009T161950Z
LAST-MODIFIED:20251009T161950Z
UID:2142-1762268400-1762275600@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 1.5-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 Staff\, Faculty\, and Students
URL:https://datascience.library.claremont.edu/event/qcl-workshop-excel-exploring-data-level-1-4/
LOCATION:Robert Day Science Center\, Claremont McKenna College\, 681 Claremont Blvd\, Claremont\, CA\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251031T133000
DTEND;TZID=America/Los_Angeles:20251031T153000
DTSTAMP:20251009T161813Z
CREATED:20251009T161813Z
LAST-MODIFIED:20251009T161813Z
UID:2140-1761917400-1761924600@datascience.library.claremont.edu
SUMMARY:QCL Workshop - SQL: Querying Databases Part 2 - 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. The workshop will look at Data Definition Language (DDL)\, Data Manipulation Language (DML)\, and Data Query Language (DQL).\nAgenda \n\n\nInserting data\n\n\nQuerying a table\n\n\nJoining tables\n\n\nHands-on activities\n\n\nPre-requisites\nNo prior experience with SQL is needed.\nAll Attendees will need admin rights on their computers so they can download the installer for DBeaver.\nTarget Audience\nThis workshop is designed for beginners in SQL. No prior programming knowledge is needed.
URL:https://datascience.library.claremont.edu/event/qcl-workshop-sql-querying-databases-part-2-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:20251028T150000
DTEND;TZID=America/Los_Angeles:20251028T170000
DTSTAMP:20251009T161702Z
CREATED:20251009T161702Z
LAST-MODIFIED:20251009T161702Z
UID:2137-1761663600-1761670800@datascience.library.claremont.edu
SUMMARY:QCL Workshop - SQL: Querying Databases Part 2 - 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. The workshop will look at Data Definition Language (DDL)\, Data Manipulation Language (DML)\, and Data Query Language (DQL).\nAgenda \n\n\nInserting data\n\n\nQuerying a table\n\n\nJoining tables\n\n\nHands-on activities\n\n\nPre-requisites\nNo prior experience with SQL is needed.\nAll Attendees will need admin rights on their computers so they can download the installer for DBeaver.\nTarget Audience\nThis workshop is designed for beginners in SQL. No prior programming knowledge is needed.
URL:https://datascience.library.claremont.edu/event/qcl-workshop-sql-querying-databases-part-2-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:20251025T090000
DTEND;TZID=America/Los_Angeles:20251025T170000
DTSTAMP:20251009T161723Z
CREATED:20251009T161532Z
LAST-MODIFIED:20251009T161723Z
UID:2135-1761382800-1761411600@datascience.library.claremont.edu
SUMMARY:QCL Workshop - STATA Bootcamp (Level 1)*
DESCRIPTION:Knowing how to analyze data is increasingly important for success in a wide variety of fields of work and is crucial for doing well in courses on Statistics and Econometrics. It is also at the heart of the work on a majority of senior theses in Economics and related fields. This day-long training session will introduce you to one of the main computer languages that is used for these purposes\, Stata. It will be useful for newcomers as well as those who could use a review.  An emphasis will be placed on the practical steps of using the language. Within one day we will be able to cover all of the main material that you would need for your Statistics and Econometrics classes as well as tacit knowledge and programming tricks that these classes don’t often cover. We will further discuss more advanced techniques that are not needed for these classes but that are often very useful in writing a senior thesis and working after graduation. The tutorial will be useful for getting a head start on your Statistics or Econometrics classes\, increasing your utility in working as a research assistant for a professor\, making it more likely that a professor might hire you as a research assistant\, as a brush up on what you learned in prior courses\, or preparing to write your senior thesis. Jobs such as those for recent college graduates at the Federal Reserve\, World Bank\, International Monetary Fund\, and Washington D.C. think tanks highly value these skills.\n\nThe speaker\, Professor William Lincoln\, teaches Econometrics and the Seminar in Research Methods (Economics 180) for senior thesis writers at CMC.  He has long experience in teaching Stata in these classes as well as working with it for his own published research.  He worked at the Federal Reserve Bank of Chicago right out of college doing exactly this type of work.\n\n\nAgenda: Lectures on Stata and work on Stata exercises 9am-12:30pm and 1:30-5pm.  Topics to be covered include\n\n\nThe Stata console \nLogging results\nImporting and merging data\nCleaning data\nInteractive and batch mode programming\nCommon commands\nCommon mistakes\nEstimating correlations and descriptive statistics\nGraphing data\nRegression analysis\nPanel data methods\nLoops \n\n\nLearning Objectives: Learn how to program in Stata\n\nPrerequisite: Local installation or access to Stata through the Remote Desktop Environment \n\n\nParticipants: Upperclass CMC Students priority\n\n\n\nSponsored by Claremont McKenna College’s Randall Lewis Center for Innovation and Entrepreneurship
URL:https://datascience.library.claremont.edu/event/qcl-workshop-stata-bootcamp-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:20251024T133000
DTEND;TZID=America/Los_Angeles:20251024T153000
DTSTAMP:20250930T194858Z
CREATED:20250930T194858Z
LAST-MODIFIED:20250930T194858Z
UID:2126-1761312600-1761319800@datascience.library.claremont.edu
SUMMARY:QCL Workshop - SQL: Setting Up Databases Part 1 - 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. The workshop will look at Data Definition Language (DDL)\, Data Manipulation Language (DML)\, and Data Query Language (DQL).\nUse DBeaver and SQL statements to:\nCreate a database\nDefine table elements\nImport tables\nInsert data into your project\nPre-requisites:\nInternet Use: Introductory level (search\, log-in\, navigation of websites\, etc.)\nLocal installation (if you bring your laptop): DBeaver (any version)\nSoftware knowledge: basic computer skills\nDownload the repo and follow the exercises! https://github.com/CMC-QCL/Introduction-to-SQL-DBeaver-Pt1\nParticipants:\nStudents\, Faculty and Staff
URL:https://datascience.library.claremont.edu/event/qcl-workshop-sql-setting-up-databases-part-1-level-1-4/
LOCATION:Robert Day Science Center\, Claremont McKenna College\, 681 Claremont Blvd\, Claremont\, CA\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251021T150000
DTEND;TZID=America/Los_Angeles:20251021T170000
DTSTAMP:20250930T194809Z
CREATED:20250930T194809Z
LAST-MODIFIED:20250930T194809Z
UID:2124-1761058800-1761066000@datascience.library.claremont.edu
SUMMARY:QCL Workshop - SQL: Setting Up Databases Part 1 - 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. The workshop will look at Data Definition Language (DDL)\, Data Manipulation Language (DML)\, and Data Query Language (DQL).\nUse DBeaver and SQL statements to:\nCreate a database\nDefine table elements\nImport tables\nInsert data into your project\nPre-requisites:\nInternet Use: Introductory level (search\, log-in\, navigation of websites\, etc.)\nLocal installation (if you bring your laptop): DBeaver (any version)\nSoftware knowledge: basic computer skills\nDownload the repo and follow the exercises! https://github.com/CMC-QCL/Introduction-to-SQL-DBeaver-Pt1\nParticipants:\nStudents\, Faculty and Staff
URL:https://datascience.library.claremont.edu/event/qcl-workshop-sql-setting-up-databases-part-1-level-1-3/
LOCATION:Robert Day Science Center\, Claremont McKenna College\, 681 Claremont Blvd\, Claremont\, CA\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251017T121500
DTEND;TZID=America/Los_Angeles:20251017T130000
DTSTAMP:20251009T160620Z
CREATED:20251009T160531Z
LAST-MODIFIED:20251009T160620Z
UID:2129-1760703300-1760706000@datascience.library.claremont.edu
SUMMARY:A Bite of Learning - Faculty Showcase on Canvas Course Design
DESCRIPTION:Austin Brown\, Lisette de Pillis\, Maduka Ogba\, Ben Wiedermann\, Heather Zinn-Brooks\n12:15 – 1:00 pm\nGreen Room\, Joseph B Platt Campus Center\, Harvey Mudd College\n\nThis presentation will feature a faculty panel discussion on designing effective Canvas course sites. Faculty panelists will share strategies they use to make their courses clearer\, more engaging\, and easier for students to navigate. The conversation will highlight practical approaches such as organizing modules for consistency\, streamlining navigation\, incorporating tools that foster interaction\, and creating homepages that set the tone for the course. Attendees will gain insights into how small design choices in Canvas can improve the learning experience and support student success.\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-faculty-showcase-on-canvas-course-design/
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:20251016T150000
DTEND;TZID=America/Los_Angeles:20251016T170000
DTSTAMP:20250930T194655Z
CREATED:20250930T194655Z
LAST-MODIFIED:20250930T194655Z
UID:2121-1760626800-1760634000@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 1.5-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 Staff\, Faculty\, and Students
URL:https://datascience.library.claremont.edu/event/qcl-workshop-excel-exploring-data-level-1-3/
LOCATION:Robert Day Science Center\, Claremont McKenna College\, 681 Claremont Blvd\, Claremont\, CA\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251010T133000
DTEND;TZID=America/Los_Angeles:20251010T153000
DTSTAMP:20250930T194547Z
CREATED:20250930T194547Z
LAST-MODIFIED:20250930T194547Z
UID:2118-1760103000-1760110200@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-2-6/
LOCATION:Robert Day Science Center\, Claremont McKenna College\, 681 Claremont Blvd\, Claremont\, CA\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251008T150000
DTEND;TZID=America/Los_Angeles:20251008T170000
DTSTAMP:20250930T194325Z
CREATED:20250930T194307Z
LAST-MODIFIED:20250930T194325Z
UID:2112-1759935600-1759942800@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-2-5/
LOCATION:Robert Day Science Center\, Claremont McKenna College\, 681 Claremont Blvd\, Claremont\, CA\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251007T150000
DTEND;TZID=America/Los_Angeles:20251007T170000
DTSTAMP:20250930T194438Z
CREATED:20250930T194438Z
LAST-MODIFIED:20250930T194438Z
UID:2114-1759849200-1759856400@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/
LOCATION:Robert Day Science Center\, Claremont McKenna College\, 681 Claremont Blvd\, Claremont\, CA\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250923T150000
DTEND;TZID=America/Los_Angeles:20250923T170000
DTSTAMP:20250912T183517Z
CREATED:20250912T183517Z
LAST-MODIFIED:20250912T183517Z
UID:2108-1758639600-1758646800@datascience.library.claremont.edu
SUMMARY:QCL Workshop - Python: Programming Basics Part 1 - 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\nCMC Students\, Faculty\, and Staff
URL:https://datascience.library.claremont.edu/event/qcl-workshop-python-programming-basics-part-1-level-1-3/
LOCATION:Robert Day Science Center\, Claremont McKenna College\, 681 Claremont Blvd\, Claremont\, CA\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250919T133000
DTEND;TZID=America/Los_Angeles:20250919T153000
DTSTAMP:20250909T235938Z
CREATED:20250909T235938Z
LAST-MODIFIED:20250909T235938Z
UID:2106-1758288600-1758295800@datascience.library.claremont.edu
SUMMARY:QCL Workshop - R: Exploring Data - Level 2
DESCRIPTION:Location \nRobert Day Sciences Center\, RDSC 107\n681 Claremont Blvd\, Claremont\, CA 91711 \nSummary \n\nYou 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
URL:https://datascience.library.claremont.edu/event/qcl-workshop-r-exploring-data-level-2-4/
LOCATION:Robert Day Science Center\, Claremont McKenna College\, 681 Claremont Blvd\, Claremont\, CA\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250917T150000
DTEND;TZID=America/Los_Angeles:20250917T170000
DTSTAMP:20250909T235847Z
CREATED:20250909T235847Z
LAST-MODIFIED:20250909T235847Z
UID:2104-1758121200-1758128400@datascience.library.claremont.edu
SUMMARY:QCL Workshop - R: Exploring Data - Level 2
DESCRIPTION:Location \nRobert Day Sciences Center\, RDSC 107\n681 Claremont Blvd\, Claremont\, CA 91711 \nSummary \n\n\nYou 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
URL:https://datascience.library.claremont.edu/event/qcl-workshop-r-exploring-data-level-2-3/
LOCATION:Robert Day Science Center\, Claremont McKenna College\, 681 Claremont Blvd\, Claremont\, CA\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250912T133000
DTEND;TZID=America/Los_Angeles:20250912T153000
DTSTAMP:20250909T235445Z
CREATED:20250909T235445Z
LAST-MODIFIED:20250909T235445Z
UID:2102-1757683800-1757691000@datascience.library.claremont.edu
SUMMARY:QCL Workshop - R: Programming Basics - Level 1
DESCRIPTION:Location \nRobert Day Sciences Center\, RDSC 107\n681 Claremont Blvd\, Claremont\, CA 91711 \nSummary \n\nYou 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
URL:https://datascience.library.claremont.edu/event/qcl-workshop-r-programming-basics-level-1-4/
LOCATION:Robert Day Science Center\, Claremont McKenna College\, 681 Claremont Blvd\, Claremont\, CA\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250910T150000
DTEND;TZID=America/Los_Angeles:20250910T170000
DTSTAMP:20250909T235355Z
CREATED:20250909T235355Z
LAST-MODIFIED:20250909T235355Z
UID:2100-1757516400-1757523600@datascience.library.claremont.edu
SUMMARY:QCL Workshop - R: Programming Basics - Level 1
DESCRIPTION:Location \nRobert Day Sciences Center\, RDSC 107\n681 Claremont Blvd\, Claremont\, CA 91711 \nSummary \n\nYou 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
URL:https://datascience.library.claremont.edu/event/qcl-workshop-r-programming-basics-level-1-3/
LOCATION:Robert Day Science Center\, Claremont McKenna College\, 681 Claremont Blvd\, Claremont\, CA\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250905T133000
DTEND;TZID=America/Los_Angeles:20250905T153000
DTSTAMP:20250828T193115Z
CREATED:20250828T193115Z
LAST-MODIFIED:20250828T193115Z
UID:2096-1757079000-1757086200@datascience.library.claremont.edu
SUMMARY:QCL Workshop - LaTeX: Equation Writing - Level 1
DESCRIPTION:[QCL Workshop] Equation Writing with LaTeX (Level 1) \nLocation \nRobert Day Sciences Center\, RDSC 107\n681 Claremont Blvd\, Claremont\, CA 91711 \nSummary \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. \nParticipants \nOpen to all CMC Staff\, Faculty and Students
URL:https://datascience.library.claremont.edu/event/qcl-workshop-latex-equation-writing-level-1-5/
LOCATION:Robert Day Science Center\, Claremont McKenna College\, 681 Claremont Blvd\, Claremont\, CA\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250903T150000
DTEND;TZID=America/Los_Angeles:20250903T170000
DTSTAMP:20250828T193017Z
CREATED:20250828T193017Z
LAST-MODIFIED:20250828T193017Z
UID:2091-1756911600-1756918800@datascience.library.claremont.edu
SUMMARY:QCL Workshop - LaTeX: Equation Writing - Level 1
DESCRIPTION:[QCL Workshop] Equation Writing with LaTeX (Level 1) \nLocation \nRobert Day Sciences Center\, RDSC 107\n681 Claremont Blvd\, Claremont\, CA 91711 \nSummary \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. \nParticipants \nOpen to all CMC Staff\, Faculty and Students
URL:https://datascience.library.claremont.edu/event/qcl-workshop-latex-equation-writing-level-1-4/
LOCATION:Robert Day Science Center\, Claremont McKenna College\, 681 Claremont Blvd\, Claremont\, CA\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250501T161500
DTEND;TZID=America/Los_Angeles:20250501T174500
DTSTAMP:20250430T203038Z
CREATED:20250430T203038Z
LAST-MODIFIED:20250430T203038Z
UID:2083-1746116100-1746121500@datascience.library.claremont.edu
SUMMARY:QCL Workshop - Tableau: Visualizing Data - Level 1
DESCRIPTION:Virtual Event Free Event \nAdd to calendar   \n\n\n\n\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. \ntableau public gallery: \nhttps://public.tableau.com/en-us/gallery/analyzing-ums?gallery=votd \nTarget Audience \nThis workshop is designed for beginners in data visualization. No prior programming knowledge is needed. \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 \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/
END:VEVENT
END:VCALENDAR