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  • This series of instructional videos focuses on Digital Literacy topics, and is meant to prepare students and researchers for scholarship in the digital age, and can be used in many different contexts. We invite you to use and share these videos! ~Note: For library content that is not accessible, we are committed to providing reasonable accommodations and timely access to users with disabilities. For assistance, please submit an accessibility request for library material (https://www.lib.montana.edu/accessibility/request-form.html).

  • Digital Literacy Series: CatSearch Basics

    This series of instructional videos focuses on Digital Literacy topics, and is meant to prepare students and researchers for scholarship in the digital age, and can be used in many different contexts. We invite you to use and share these videos! ~Note: For library content that is not accessible, we are committed to providing reasonable accommodations and timely access to users with disabilities. For assistance, please submit an accessibility request for library material (https://www.lib.montana.edu/accessibility/request-form.html).

  • Learn the basics of Python using RStudio, including inspecting, extracting, manipulating, summarizing data, and basic data visualization. Full Intro to Python workshop materials and additional workshop videos available at https://www.montana.edu/datascience/training/ This workshop was held on October 9, 2024 in Heathcote Classroom at Montana State University Library and online. Additional workshop videos available at: https://www.montana.edu/datascience/training/ ~Note: For library content that is not accessible, we are committed to providing reasonable accommodations and timely access to users with disabilities. For assistance, please submit an accessibility request for library material (https://www.lib.montana.edu/accessibility/request-form.html).

  • Intro to Python, Fall 2024 - Ava Yazdian, Sara Mannheimer, Sally Slipher, and Great Linse

    Learn the basics of Python using RStudio, including inspecting, extracting, manipulating, summarizing data, and basic data visualization. Full Intro to Python workshop materials and additional workshop videos available at https://www.montana.edu/datascience/training/ This workshop was held on October 9, 2024 in Heathcote Classroom at Montana State University Library and online. Additional workshop videos available at: https://www.montana.edu/datascience/training/ ~Note: For library content that is not accessible, we are committed to providing reasonable accommodations and timely access to users with disabilities. For assistance, please submit an accessibility request for library material (https://www.lib.montana.edu/accessibility/request-form.html).

  • In this workshop, we'll explore using Generative AI to write code and create method descriptions. We'll also discuss writing good prompts and responsible use of GenAI. The workshop was recorded on February 10, 2025 in the Heathcote Classroom at Renne Library at Montana State University, and online. 0:00 Introduction 4:56 Guidelines for Responsible AI 9:54 Prompting AI 21:55 Practice 1 - Prompting 28:25 Using Generative AI 31:30 Case 1 - Translating code 32:41 Practice 2 - Translating 41:00 Case 2 - Writing code 56:15 Break 1:01:16 Case 3 - Data Visualization 1:01:55 Basic Plots 1:20:36 Complex Plots 1:25:41 Reproducing Plots 1:37:41 Discussion ~Note: For library content that is not accessible, we are committed to providing reasonable accommodations and timely access to users with disabilities. For assistance, please submit an accessibility request for library material (https://www.lib.montana.edu/accessibility/request-form.html).

  • Generative AI for Data Analysis, Spr 2025-Greta Linse, Sara Mannheimer, Ava Yazdian, Sally Slipher

    In this workshop, we'll explore using Generative AI to write code and create method descriptions. We'll also discuss writing good prompts and responsible use of GenAI. The workshop was recorded on February 10, 2025 in the Heathcote Classroom at Renne Library at Montana State University, and online. 0:00 Introduction 4:56 Guidelines for Responsible AI 9:54 Prompting AI 21:55 Practice 1 - Prompting 28:25 Using Generative AI 31:30 Case 1 - Translating code 32:41 Practice 2 - Translating 41:00 Case 2 - Writing code 56:15 Break 1:01:16 Case 3 - Data Visualization 1:01:55 Basic Plots 1:20:36 Complex Plots 1:25:41 Reproducing Plots 1:37:41 Discussion ~Note: For library content that is not accessible, we are committed to providing reasonable accommodations and timely access to users with disabilities. For assistance, please submit an accessibility request for library material (https://www.lib.montana.edu/accessibility/request-form.html).

  • In this workshop, you will learn how to manipulate data in R using the dplyr and tidyr packages. This workshop took place November 6, 2024 in the Heathcote Classroom, Montana State University Library and online. Workshop tutorial available at: https://rconnect.math.montana.edu/Data_Wrangling/. The next video in the series is 'Intro to Python'. ~Note: For library content that is not accessible, we are committed to providing reasonable accommodations and timely access to users with disabilities. For assistance, please submit an accessibility request for library material (https://www.lib.montana.edu/accessibility/request-form.html).

  • Data Wrangling in R, Fall 2024 - Ava Yazdian, Sara Mannheimer, Sally Slipher and Great Linse

    In this workshop, you will learn how to manipulate data in R using the dplyr and tidyr packages. This workshop took place November 6, 2024 in the Heathcote Classroom, Montana State University Library and online. Workshop tutorial available at: https://rconnect.math.montana.edu/Data_Wrangling/. The next video in the series is 'Intro to Python'. ~Note: For library content that is not accessible, we are committed to providing reasonable accommodations and timely access to users with disabilities. For assistance, please submit an accessibility request for library material (https://www.lib.montana.edu/accessibility/request-form.html).

  • Extend your knowledge of R with relational and logical operators, conditional statements, loops, and functions. These concepts will be first presented conceptually, with computational practice afterward. This workshop took place March 24, 2025 in the Heathcote Classroom at Montana State University Library and online. Recordings of past workshops are available at https://www.montana.edu/datascience/training/. The next video in the series is 'Data Wrangling in R'. ~Note: For library content that is not accessible, we are committed to providing reasonable accommodations and timely access to users with disabilities. For assistance, please submit an accessibility request for library material (https://www.lib.montana.edu/accessibility/request-form.html).

  • Intermediate R, Spr 2025 - Sara Mannheimer, Greta Linse, Sally Slipher, Ava Yazdian

    Extend your knowledge of R with relational and logical operators, conditional statements, loops, and functions. These concepts will be first presented conceptually, with computational practice afterward. This workshop took place March 24, 2025 in the Heathcote Classroom at Montana State University Library and online. Recordings of past workshops are available at https://www.montana.edu/datascience/training/. The next video in the series is 'Data Wrangling in R'. ~Note: For library content that is not accessible, we are committed to providing reasonable accommodations and timely access to users with disabilities. For assistance, please submit an accessibility request for library material (https://www.lib.montana.edu/accessibility/request-form.html).

  • The ability to create meaningful and attractive data visualizations is an essential skill of data-intensive research. This workshop gives you an overview of the grammar of graphics plotting concepts from the ggplot2 package. We explore ggplot’s three plotting layers, data, aesthetics, and geometries, for many univariate and multivariate graphics. These concepts are presented in an interactive format, integrating computational practice throughout the workshop. This workshop was held on March 3, 2025 in the Heathcote Classroom at Montana State University Library and online. Please see https://www.montana.edu/datascience/training/ for additional workshop materials and links. The next video in the series is 'Intermediate R'. ~Note: For library content that is not accessible, we are committed to providing reasonable accommodations and timely access to users with disabilities. For assistance, please submit an accessibility request for library material (https://www.lib.montana.edu/accessibility/request-form.html).

  • Data Visualization in R, Spr 2025 - Ava Yazdian, Sara Mannheimer, Sally Slipher, and Great Linse

    The ability to create meaningful and attractive data visualizations is an essential skill of data-intensive research. This workshop gives you an overview of the grammar of graphics plotting concepts from the ggplot2 package. We explore ggplot’s three plotting layers, data, aesthetics, and geometries, for many univariate and multivariate graphics. These concepts are presented in an interactive format, integrating computational practice throughout the workshop. This workshop was held on March 3, 2025 in the Heathcote Classroom at Montana State University Library and online. Please see https://www.montana.edu/datascience/training/ for additional workshop materials and links. The next video in the series is 'Intermediate R'. ~Note: For library content that is not accessible, we are committed to providing reasonable accommodations and timely access to users with disabilities. For assistance, please submit an accessibility request for library material (https://www.lib.montana.edu/accessibility/request-form.html).

  • This workshop starts with the building blocks of using RStudio to create and explore the data structures available in R. Then we learn some basic tools for inspecting, extracting, manipulating, summarizing, and visualizing data. We also discuss accessing and using R packages, and how to use R's built-in help interface. This workshop was held on February 24, 2025 in the Heathcote Classroom at Montana State University Library and online. Please see https://www.montana.edu/datascience/training/ for additional workshop materials and links. The next video in the series is 'Data Visualization in R'. ~Note: For library content that is not accessible, we are committed to providing reasonable accommodations and timely access to users with disabilities. For assistance, please submit an accessibility request for library material (https://www.lib.montana.edu/accessibility/request-form.html).

  • Introduction to R, Spr 2025 - Ava Yazdian, Sara Mannheimer, Sally Slipher, Greta Linse

    This workshop starts with the building blocks of using RStudio to create and explore the data structures available in R. Then we learn some basic tools for inspecting, extracting, manipulating, summarizing, and visualizing data. We also discuss accessing and using R packages, and how to use R's built-in help interface. This workshop was held on February 24, 2025 in the Heathcote Classroom at Montana State University Library and online. Please see https://www.montana.edu/datascience/training/ for additional workshop materials and links. The next video in the series is 'Data Visualization in R'. ~Note: For library content that is not accessible, we are committed to providing reasonable accommodations and timely access to users with disabilities. For assistance, please submit an accessibility request for library material (https://www.lib.montana.edu/accessibility/request-form.html).

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