All Library Events
Online - Keep Calm and Do Research: Introduction to Copyright for Software Developers
Library toolbox for responsible research in the sciences and engineering (ONLINE)
This interactive online workshop will introduce you to a variety of library resources to support your research practices. We’ll cover copyright and fair use, citation practices and avoiding plagiarism, research data management, and issues in scholarly publishing from an author’s perspective. You’ll meet library experts relevant to your discipline and leave the session informed on how to dig deeper and get individualized help when these topics arise in your graduate student career.
This workshop has been approved for two hours of RCR credit and is intended for new graduate students in engineering, natural sciences, and basic biomedical sciences. Zoom connection information will be sent via email to registered attendees the day before.
Library toolbox for responsible research in the humanities (ONLINE)
This interactive online workshop will introduce you to a variety of library resources to support your research practices. We’ll cover copyright and fair use, citation practices and avoiding plagiarism, data management, using rare materials and manuscripts, and issues in scholarly publishing from an author’s perspective. You’ll meet library experts relevant to your discipline and leave the session informed on how to dig deeper and get individualized help when these topics arise in your graduate student career.
This workshop has been approved for two hours of RCR credit and is intended for new graduate students in the humanities. Zoom connection information will be sent via email to registered attendees the day before.
Library toolbox for responsible research in the social sciences (ONLINE)
This interactive online workshop will introduce you to a variety of library resources to support your research practices. We’ll cover copyright and fair use, citation practices and avoiding plagiarism, research data management, and issues in scholarly publishing from an author’s perspective. You’ll meet library experts relevant to your discipline and leave the session informed on how to dig deeper and get individualized help when these topics arise in your graduate student career.
This workshop has been approved for two hours of RCR credit and is intended for new graduate students in the social sciences. Zoom connection information will be sent via email to registered attendees the day before.
Library toolbox for responsible research in the sciences and engineering (ONLINE)
This interactive online workshop will introduce you to a variety of library resources to support your research practices. We’ll cover copyright and fair use, citation practices and avoiding plagiarism, research data management, and issues in scholarly publishing from an author’s perspective. You’ll meet library experts relevant to your discipline and leave the session informed on how to dig deeper and get individualized help when these topics arise in your graduate student career.
This workshop has been approved for two hours of RCR credit and is intended for new graduate students in engineering, natural sciences, and basic biomedical sciences. Zoom connection information will be sent via email to registered attendees the day before.
Library toolbox for responsible research in the humanities (ONLINE)
This interactive online workshop will introduce you to a variety of library resources to support your research practices. We’ll cover copyright and fair use, citation practices and avoiding plagiarism, data management, using rare materials and manuscripts, and issues in scholarly publishing from an author’s perspective. You’ll meet library experts relevant to your discipline and leave the session informed on how to dig deeper and get individualized help when these topics arise in your graduate student career.
This workshop has been approved for two hours of RCR credit and is intended for new graduate students in the humanities. Zoom connection information will be sent via email to registered attendees the day before.
Library toolbox for responsible research in the sciences and engineering (ONLINE)
This interactive online workshop will introduce you to a variety of library resources to support your research practices. We’ll cover copyright and fair use, citation practices and avoiding plagiarism, research data management, and issues in scholarly publishing from an author’s perspective. You’ll meet library experts relevant to your discipline and leave the session informed on how to dig deeper and get individualized help when these topics arise in your graduate student career.
This workshop has been approved for two hours of RCR credit and is intended for new graduate students in engineering, natural sciences, and basic biomedical sciences. Zoom connection information will be sent via email to registered attendees the day before.
Library toolbox for responsible research in the social sciences (ONLINE)
This interactive online workshop will introduce you to a variety of library resources to support your research practices. We’ll cover copyright and fair use, citation practices and avoiding plagiarism, research data management, and issues in scholarly publishing from an author’s perspective. You’ll meet library experts relevant to your discipline and leave the session informed on how to dig deeper and get individualized help when these topics arise in your graduate student career.
This workshop has been approved for two hours of RCR credit and is intended for new graduate students in the social sciences. Zoom connection information will be sent via email to registered attendees the day before.
Library toolbox for responsible research in the sciences and engineering (ONLINE)
This interactive online workshop will introduce you to a variety of library resources to support your research practices. We’ll cover copyright and fair use, citation practices and avoiding plagiarism, research data management, and issues in scholarly publishing from an author’s perspective. You’ll meet library experts relevant to your discipline and leave the session informed on how to dig deeper and get individualized help when these topics arise in your graduate student career.
This workshop has been approved for two hours of RCR credit and is intended for new graduate students in engineering, natural sciences, and basic biomedical sciences. Zoom connection information will be sent via email to registered attendees the day before.
R for data science: getting started, EDA, data wrangling
This workshop is part of the Rfun series. R and the Tidyverse are a data-first coding language that enables reproducible workflows. In this two-part workshop, you’ll learn the fundamentals of R, everything you need to know to quickly get started. You’ll learn how to access and install RStudio, how to wrangle data for analysis, gain a brief introduction to visualization, practice Exploratory Data Analysis (EDA), and how to generate reports.
Part 1 has no prerequisites and no prior experience is necessary. By the end of part 1 you will import data, edit and save scripts, subset data, use projects to organize your work, and develop self-help techniques.
This event is offered virtually in accordance with Duke's Coronavirus events policies. A zoom link will be sent via email to registered participants to join the workshop. We will use the flipped classroom model. Quickstart videos will be distributed one week prior to the event.
The content of the workshop may be recorded. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.
Data Science
R for data science: getting started, EDA, data wrangling
Part of the Rfun series.
R and the Tidyverse are a data-first coding language that enables reproducible workflows. In this two-part workshop, you’ll learn the fundamentals of R, everything you need to know to quickly get started.
Part 1 has no prerequisites and no prior experience is necessary. You’ll learn how to access and install RStudio, how to wrangle data for analysis, gain a brief introduction to visualization, practice Exploratory Data Analysis (EDA), and how to generate reports.
By the end of part 1 you will import data, edit and save scripts, subset data, use projects to organize your work, and develop self-help techniques.
This event is offered virtually in accordance with Duke's Coronavirus events policies. A zoom link will be sent via email to registered participants to join the workshop. We will use the flipped classroom model. Quickstart videos will be distributed one week prior to the event.
The content of the workshop may be recorded. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.
Research Data Management 101
This workshop will introduce data management practices for researchers to consider and apply throughout the research lifecycle. Good data management practices pertaining to planning, organization, documentation, storage and backup, sharing, citation, and preservation will be presented using examples that span disciplines. During the workshop, participants will also engage in discussions with their peers on data management concepts as well as learn about how to assess data management tools.
This event is offered virtually in accordance with Duke's Coronavirus events policies. A zoom link will be sent via email to registered participants to join the workshop.
The content of the workshop may be recorded. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.
R for data science: visualization, pivot, join, regression
This workshop is part of the Rfun series. R and the Tidyverse are a data-first coding language that enables reproducible workflows. In this two-part workshop, you’ll learn the fundamentals of R, everything you need to know to quickly get started. You’ll learn about visualization using ggplot2, how to make interactive charts for use in dashboards, how to reshape and merge data, and be introduced to models.
Part 2 requires the familiarity of part 1. By the end of part 2 you will have a familiarity with the grammar of graphics, be introduced to interactivity techniques, be able to invoke data joins and pivots, and gain an introduction to linear regression.
This event is offered virtually in accordance with Duke's Coronavirus events policies. A zoom link will be sent via email to registered participants to join the workshop. We will use the flipped classroom model. Quickstart videos will be distributed one week prior to the event.
The content of the workshop may be recorded. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.
Data Science
ArcGIS StoryMaps
This workshop will help you get started telling stories with maps on the ArcGIS StoryMaps platform. This easy-to-use web application integrates maps with narrative text, images, and videos to provide a powerful communication tool for any project with a geographic component. We will explore the capabilities of StoryMaps, share best practices for designing effective stories, and guide participants step-by-step through the process of creating their own application.
No previous experience with GIS is required.
This event is offered virtually in accordance with Duke's Coronavirus events policies. A Zoom link will be emailed to registered participants.
The content of the workshop may be recorded. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at any time prior to the conclusion of the workshop.
Assignment Tableau: Intro to Tableau work-together
Work together over Zoom on an Intro to Tableau assignment. Attendees are expected to watch my Intro to Tableau Fall 2019 video first, or have some experience with Tableau. This will be an opportunity to work together on the assignment from the end of that workshop, plus have questions answered live.
Tableau Public (available for both Windows and Mac) is incredibly useful free software that allows individuals to quickly and easily explore their data with a wide variety of visual representations, as well as create interactive web-based visualization dashboards. My video from Fall 2019 focused on using Tableau Public to create data visualizations, starting with an overview of how the program thinks about data, common data manipulation and loading, and the terminology used. Activities included a sample data visualization and mapping project, for hands-on experience using Tableau’s basic chart types and dashboard creation tools. I also discussed publishing to the Tableau Public web server and related services and tools, like the full Tableau Desktop application (free for full-time students). Watch that video before coming to this work session if you're not familiar with Tableau!
This work time is designed to give you a chance to try to use Tableau Public or Desktop for data exploration and visualization, along with others at a similar level, and in an environment where I can answer questions live.
- You will be expected to have your video on for most of the session, and to share your screen during at least part of the work time.
- You will be expected to arrive with Tableau Desktop or Public 2020 already installed on the machine you're Zooming from.
- I will hold open Zoom walk-in hours for an hour before the workshop to help remotely troubleshoot installation issues. Email me at emonson@duke.edu to get the URL.
- If you're applying for a free student license for Tableau Desktop, be sure to do that a week before the session, since it often takes a few days for Tableau to verify your student status and send you the license
This event is offered virtually in accordance with Duke's Coronavirus events policies. A zoom link will be sent via email to registered participants to join the workshop.
The content of the workshop may be recorded. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.
Data Visualization
Assignment Tableau: Intro to Tableau work-together
Work together over Zoom on an Intro to Tableau assignment. Attendees are expected to watch my Intro to Tableau Fall 2019 video first, or have some experience with Tableau. This will be an opportunity to work together on the assignment from the end of that workshop, plus have questions answered live.
Tableau Public (available for both Windows and Mac) is incredibly useful free software that allows individuals to quickly and easily explore their data with a wide variety of visual representations, as well as create interactive web-based visualization dashboards. My video from Fall 2019 focused on using Tableau Public to create data visualizations, starting with an overview of how the program thinks about data, common data manipulation and loading, and the terminology used. Activities included a sample data visualization and mapping project, for hands-on experience using Tableau’s basic chart types and dashboard creation tools. I also discussed publishing to the Tableau Public web server and related services and tools, like the full Tableau Desktop application (free for full-time students). Watch that video before coming to this work session if you're not familiar with Tableau!
This work time is designed to give you a chance to try to use Tableau Public or Desktop for data exploration and visualization, along with others at a similar level, and in an environment where I can answer questions live.
- You will be expected to have your video on for most of the session, and to share your screen during at least part of the work time.
- You will be expected to arrive with Tableau Desktop or Public 2020 already installed on the machine you're Zooming from.
- I will hold open Zoom walk-in hours for an hour before the workshop to help remotely troubleshoot installation issues. Email me at emonson@duke.edu to get the URL.
- If you're applying for a free student license for Tableau Desktop, be sure to do that a week before the session, since it often takes a few days for Tableau to verify your student status and send you the license
This event is offered virtually in accordance with Duke's Coronavirus events policies. A zoom link will be sent via email to registered participants to join the workshop.
The content of the workshop may be recorded. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.
Intro to ArcGIS Pro
ArcGIS Pro is the newer alternative interface to the tried-and-true ArcGIS Desktop software (ArcMap), with essentially the same functions, but with more of a MS-Office feel. As a native 64-bit program, it also has superior performance. There are a few nice feature enhancements such as multiple layouts in a single project, and it's more fully integrated with ArcGIS Online (see schedule for workshops on ArcGIS Online or on StoryMaps).
ArcGIS Pro can help you analyze or visualize digital data that has a locational component, and we'll discuss starting points for obtaining data. Examples will focus on social science data and feature (vector) layers, but attendees are encouraged to ask questions regarding their own needs and will be welcome to make one-on-one appointments later for more focused instruction. This is an introductory class, and it's not necessary to be familiar with GIS software beforehand.
Attendees should have access to ArcGIS Pro. These are the options for Duke affiliates:
- OIT Download: Current Duke University students, faculty, and staff can get a free copy to install on their own Windows computer.
- Virtual Computing Manager (VCM) from Duke's Office of Information Technology (OIT) allows Duke users to check out a virtual machine with ArcGIS installed and connect via a remote connection.
This event is offered virtually in accordance with Duke's Coronavirus events policies. A zoom link will be sent via email to registered participants to join the workshop.
The content of the workshop may be recorded. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.
R for data science: getting started, EDA, data wrangling
This working is part of the Rfun series. R and the Tidyverse are a data-first coding language that enables reproducible workflows. In this two-part workshop, you’ll learn the fundamentals of R, everything you need to know to quickly get started. You’ll learn how to access and install RStudio, how to wrangle data for analysis, gain a brief introduction to visualization, practice Exploratory Data Analysis (EDA), and how to generate reports.
Part 1 has no prerequisites and no prior experience is necessary. By the end of part 1 you will import data, edit and save scripts, subset data, use projects to organize your work, and develop self-help techniques.
This event is offered virtually in accordance with Duke's Coronavirus events policies. A zoom link will be sent via email to registered participants to join the workshop. We will use the flipped classroom model. Quickstart videos will be distributed one week prior to the event.
The content of the workshop may be recorded. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.
Data Science
Data Science Tools Showcase: Spatial Analysis
Some people who want to do spatial (geographic) analysis don’t know GIS software such as ArcGIS Pro or QGIS, but do know R or Python. In this workshop, we will present a command-line, or code-driven, approach to working with geospatial data. This method offers several advantages over traditional GIS software that can make your work easier, faster, and more reproducible!
We will share a showcase of spatial data science workflows that demonstrate the possibilities opened up by tools available from the command-line and scripting for processing, analyzing and visualizing data.
This workshop would be helpful for participants with some GIS experience who want to expand their data science toolkit, or for those who currently use R and/or Python and are curious about the geospatial capabilities of these languages.
Some basic familiarity with programming in R and/or Python will make this workshop more useful. We encourage anyone without this background to attend (or watch a recording of) our Introduction to R or Python for Data Science workshops.
This event is offered virtually in accordance with Duke's Coronavirus events policies. A Zoom link will be emailed to registered participants.
The content of the workshop may be recorded. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at any time prior to the conclusion of the workshop.
Mapping and GIS, Data Science
Data Science Tools Showcase: Spatial Analysis
Some people who want to do spatial (geographic) analysis don’t know GIS software such as ArcGIS Pro or QGIS, but do know R or Python. In this workshop, we will present a command-line, or code-driven, approach to working with geospatial data. This method offers several advantages over traditional GIS software that can make your work easier, faster, and more reproducible!
We will share a showcase of spatial data science workflows that demonstrate the possibilities opened up by tools available from the command-line and scripting for processing, analyzing and visualizing data.
This workshop would be helpful for participants with some GIS experience who want to expand their data science toolkit, or for those who currently use R and/or Python and are curious about the geospatial capabilities of these languages.
Some basic familiarity with programming in R and/or Python will make this workshop more useful. We encourage anyone without this background to attend (or watch a recording of) our Introduction to R or Python for Data Science workshops.
This event is offered virtually in accordance with Duke's Coronavirus events policies. A Zoom link will be emailed to registered participants.
The content of the workshop may be recorded. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at any time prior to the conclusion of the workshop.
R for data science: visualization, pivot, join, regression
This workshop is part of the Rfun series. R and the Tidyverse are a data-first coding language that enables reproducible workflows. In this two-part workshop, you’ll learn the fundamentals of R, everything you need to know to quickly get started. You’ll learn about visualization using ggplot2, how to make interactive charts for use in dashboards, how to reshape and merge data, and be introduced to models.
Part 2 requires the familiarity of part 1. By the end of part 2 you will have a familiarity with the grammar of graphics, be introduced to interactivity techniques, be able to invoke data joins and pivots, and gain an introduction to linear regression.
This event is offered virtually in accordance with Duke's Coronavirus events policies. A zoom link will be sent via email to registered participants to join the workshop. We will use the flipped classroom model. Quickstart videos will be distributed one week prior to the event.
The content of the workshop may be recorded. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.
Intro to QGIS
Are you looking for an open source option for GIS to make maps or to analyze geospatial data? In this workshop we will demonstrate how to import and analyze data in QGIS and discuss the benefits of using QGIS over other GIS software. In the process, we'll go over some general GIS concepts such as layers, types of GIS files, and projections, with an emphasis on feature (vector) layers. This is an introductory class, and no prior GIS experience is needed.
Attendees should have installed QGIS beforehand.
- Windows: Go to the QGIS Downloads webpage.
- Mac: Go to the QGIS Downloads webpage, or go to the Mac OS X QGIS download page from KyngChaos.com. Please see instructions regarding GDAL and Python packages you may need to install before QGIS, if they're not already on your computer.
This event is offered virtually in accordance with Duke's Coronavirus events policies. A zoom link will be sent via email to registered participants to join the workshop.
The content of the workshop may be recorded. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.
Research Data Management 201: How and where to publish your data
In this workshop participants will learn strategies for how to prepare data for publishing by “curating” an example dataset and identifying common data issues. Participants will also learn about the overall role of repositories within the data sharing landscape and apply strategies for locating and assessing repositories. The workshop will include short lectures and group work via break-out rooms.
This workshop builds upon the foundational concepts covered in the Research Data Management 101 course offered earlier this semester. Data management practices help researchers take care of their data throughout the entire research process from the planning phase to the end of a project when data might be shared or “published” within a repository.
Participants are not required to have taken a Research Data Management 101 course (although it is recommended). This workshop is also a reconceptualization of the previously offered “RDM 201: Preparing Your Data for Publishing” and “Finding a Home for Your Data: An Introduction to Archives and Repositories” workshops offered in previous semesters - participants who have attended these previous workshops should not attend.
This event is offered virtually in accordance with Duke's Coronavirus events policies. A zoom link will be sent via email to registered participants to join the workshop.
The content of the workshop may be recorded. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.
Data Management
Paper Maps for Digital Projects
Do you want to incorporate paper maps into a digital project? Overlaying scanned maps can help illustrate change over time, offer additional context, provide a visually appropriate background, and give access to spatial data not available in other formats.
This workshop will teach you how to bring paper maps into modern GIS applications. We will cover concepts and techniques related to georeferencing, the process of aligning map images with the correct locations on the earth. We will also create new GIS data by extracting features from scanned maps. Tutorials will present steps in several desktop and web-based tools. In addition to learning the software, we will discuss some challenges of working with historical maps.
Prior experience with desktop GIS software is helpful but not required. If you have no experience with GIS, we encourage you to attend Introduction to ArcGIS Pro or QGIS prior to this workshop.
This event is offered virtually in accordance with Duke's Coronavirus events policies. A Zoom link will be emailed to registered participants.
The content of the workshop may be recorded. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at any time prior to the conclusion of the workshop.
Mapping with R
R has become a popular and reproducible option for supporting spatial and statistical analysis. This hands-on workshop will demonstrate how to plot x/y coordinates; how to generate thematic chloropleths with US Census and other federal data; import GIS shapefiles; and create interactive maps on the web. The focus will be on mapping (making a visual). Please see the schedule for related workshops that focus on performing geospatial analysis using R, and that showcase some of the geospatial work that you can do with programmic tools such as R and Python.
Prerequisites:
- Required (or equivalent): Intro to R. All attendees are expected to be basically familiar with R, R Studio, and the Tidyverse.
- Strongly recommended: Visualization with ggplot2
On your laptop, you must install R and some packages. Follow the steps below to prepare.
- Install R & RStudio in advance (instructions), or use a cloud version of R.
- Install the tidyverse, tidycensus, tigris, and sf packages in advance (instructions)
This event is offered virtually in accordance with Duke's Coronavirus events policies. A zoom link will be sent via email to registered participants to join the workshop.
The content of the workshop may be recorded. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.
Reproducible Research: Tips and Tools
The importance of reproducibility, replication, and transparency in the research endeavor is increasingly discussed in academia. This workshop will introduce foundational data management strategies that can increase the reproducibility of your work. Participants will engage in peer-to-peer discussions to assess common reproducibility challenges and will learn about specific tools and protocols that you might use within your research workflows including the TIER protocol, git and GitHub, and online containerization tools such as Binder and Code Ocean.
This event is offered virtually in accordance with Duke's Coronavirus events policies. A zoom link will be sent via email to registered participants to join the workshop.
The content of the workshop may be recorded. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.
Data Management, Data Science
Mapping in Tableau
Tableau is a software package that is increasingly popular for creating striking visualizations, such as charts and graphs, from tabular data. It also has an increasing number of capabilities to create maps. Source data can include native geospatial files (such as shapefiles or GeoJSON files), but also tabular data (such as CSV or Excel files) that include locational values, such as place names or coordinate data. This workshop will cover how to create maps in Tableau and on ways to manipulate the data and to effectively symbolize it on a map.
You can install Tableau for free as a university student: https://www.tableau.com/academic/students. You need to have it installed before the class.
This event is offered virtually in accordance with Duke's Coronavirus events policies. A zoom link will be sent via email to registered participants to join the workshop.
The content of the workshop may be recorded. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.
Python for Data Science: Pandas 103
Data exploration In Python using grouping and aggregation. This is an intermediate-level, live teaching session where you will learn how to use the Pandas module for exploring tablular (spreadsheet) data using the groupby() and pivot_table() functions, as well as some visualizations of results.
Python can be a great option for exploration, analysis and visualization of tabular data, such as spreadsheets and CSV files, if you know which tools to use and how to get started. This workshop builds upon the introductory Pandas workshops I gave in Fall 2019 and Spring 2020. (Code repository. See below for recordings.) In Pandas 101, I covered the very basics of how to access your data in a Panda DataFrame and do some basic plotting. In Pandas 102, I introduced how to get data into a "tidy" form, and merge datasets (like doing an SQL JOIN). In this Pandas 103, I will show you some of the way you can explore patterns in data by aggretating across categories and time. This is similar to the process of data exploration in Tableau, but here with Python, Pandas and JupyterLab.
- If you don't have any programming experience, or you have never used Python at all before, the material may be too confusing to be useful. I won't be teaching the language itself.
- If you have at least a little bit of Python exposure, but haven't used Pandas much or at all, I would advise watching at least the Spring 2020 Pandas 102 video before you attend. If you find that too advanced, or want a more complete introduction to Pandas, start instead with the Fall 2019 Intro to Pandas video.
Expectations:
- You will be expected to have your video on for at least part of the session, although we won't be doing any group work or sharing.
- If you need help with something during the session, you'll be expected to share your screen.
- You will be expected to arrive with the Anaconda Python distribution already installed on the machine you're Zooming from if you want to work along with me or do the exercises during the workshop!
- They now call this the Anaconda Individual Edition, available for Mac, Windows, or LInux
- I would advise installing just for yourself, not for all users (installs in your Users directory, and doesn't need administrator priviledges)
- I will hold open Zoom walk-in hours for an hour before the workshop to help remotely troubleshoot installation issues. Email me at emonson@duke.edu to get the URL.
This event is offered virtually in accordance with Duke's Coronavirus events policies. A zoom link will be sent via email to registered participants to join the workshop.
The content of the workshop may be recorded. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.
Data Science
Python for Data Science: Pandas 103
Data exploration In Python using grouping and aggregation. This is an intermediate-level, live teaching session where you will learn how to use the Pandas module for exploring tablular (spreadsheet) data using the groupby() and pivot_table() functions, as well as some visualizations of results.
Python can be a great option for exploration, analysis and visualization of tabular data, such as spreadsheets and CSV files, if you know which tools to use and how to get started. This workshop builds upon the introductory Pandas workshops I gave in Fall 2019 and Spring 2020. (Code repository. See below for recordings.) In Pandas 101, I covered the very basics of how to access your data in a Panda DataFrame and do some basic plotting. In Pandas 102, I introduced how to get data into a "tidy" form, and merge datasets (like doing an SQL JOIN). In this Pandas 103, I will show you some of the way you can explore patterns in data by aggretating across categories and time. This is similar to the process of data exploration in Tableau, but here with Python, Pandas and JupyterLab.
- If you don't have any programming experience, or you have never used Python at all before, the material may be too confusing to be useful. I won't be teaching the language itself.
- If you have at least a little bit of Python exposure, but haven't used Pandas much or at all, I would advise watching at least the Spring 2020 Pandas 102 video before you attend. If you find that too advanced, or want a more complete introduction to Pandas, start instead with the Fall 2019 Intro to Pandas video.
Expectations:
- You will be expected to have your video on for at least part of the session, although we won't be doing any group work or sharing.
- If you need help with something during the session, you'll be expected to share your screen.
- You will be expected to arrive with the Anaconda Python distribution already installed on the machine you're Zooming from if you want to work along with me or do the exercises during the workshop!
- They now call this the Anaconda Individual Edition, available for Mac, Windows, or LInux
- I would advise installing just for yourself, not for all users (installs in your Users directory, and doesn't need administrator priviledges)
- I will hold open Zoom walk-in hours for an hour before the workshop to help remotely troubleshoot installation issues. Email me at emonson@duke.edu to get the URL.
This event is offered virtually in accordance with Duke's Coronavirus events policies. A zoom link will be sent via email to registered participants to join the workshop.
The content of the workshop may be recorded. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.