Pomona College – AWM x Tidy Tuesday (R Workshop)
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! đź’» […]
9 events found.
Data Science Events at The Claremont Colleges
This calendar is a central site for information about data science events and workshops across the 7Cs. Please look at each individual event to get information about location and registration.
To post an event to this calendar contact jeanine.finn@claremont.edu
Events
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QCL Workshop – PowerBI: Visualizing Data – Level 1
QCL: Murty Sunak Quantitative and Computing Lab Kravis Center, Lower CourtPower 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 […]
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QCL Workshop – Excel: Conditioning Data – Level 2
QCL: Murty Sunak Quantitative and Computing Lab Kravis Center, Lower CourtThis Excel Level 2 workshop will cover more functions and features to save you some time while working with Excel. In this 1.5-hour workshop, we hope to get you started with: - Pivot Table - More Lookup functions: VLOOKUP (approximate match), INDEX, and MATCH - Most common functions: Count and Sum - Logical functions: IF, […]
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QCL Workshop – SQL: Setting Up and Querying Databases – Level 1
QCL: Murty Sunak Quantitative and Computing Lab Kravis Center, Lower CourtSQL 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). Agenda Inserting data Querying a table Joining […]
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QCL Workshop – R: Programming Basics – Level 1
QCL: Murty Sunak Quantitative and Computing Lab Kravis Center, Lower CourtYou 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 […]
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QCL Workshop – Python: Programming Basics – Level 1
QCL: Murty Sunak Quantitative and Computing Lab Kravis Center, Lower CourtPython 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 […]
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QCL Workshop – Python: AI Playground – Level 1
QCL: Murty Sunak Quantitative and Computing Lab Kravis Center, Lower CourtGenerative AI tools like Github Copilot can greatly enhance your coding abilities. In this open-ended, hands-on workshop, participants will experiment with AI to build useful, creative, and custom-tailored projects. Participants will explore prompting, iteration, and troubleshooting while creating a "proof-of-concept" live product. Bring your own idea, or use the instructor-led sandbox for inspiration and experimentation. […]
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QCL Workshop – Python: Exploring Data – Level 2
QCL: Murty Sunak Quantitative and Computing Lab Kravis Center, Lower CourtReal-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. Prerequisites Basic knowledge of Python and Jupyter Notebooks (e.g. conditional statements, for […]
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QCL Workshop – R: Exploring Data – Level 2
QCL: Murty Sunak Quantitative and Computing Lab Kravis Center, Lower CourtYou 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 […]