Introduction to R for Absolute Beginners
R is an open source software for statistical computing and graphics. This Introduction to R workshop is for people who want to learn this data analysis tool but have little or no experience in any programming languages. The first half of this 3-hour workshop will focus on some basic concepts of coding and the second half will have several hands-on activities to learn basic R skills, such as installing R packages, importing and exploring data. Some troubleshooting tips and R resources will be provided at the end of this workshop.
Maps have always been a way to tell stories about people, places, and their interaction on the surface of the earth. In this session we you?ll learn to use Story Maps, an ArcGIS Online application, to bring your research story alive. In this hands-on session, you?ll integrate maps, text, scanned documents and videos. You’ll have the opportunity to share your resulting Story Map with any group or individual you choose or keep it to yourself for later work.
Attendees will learn how to search, find, and share geographic content using Johns Hopkins ArcGIS Online Organization account. This class will provide the fundamental skills necessary to create, design, and share web maps, as well as use some of the various geoprocessing tools currently offered via the online application.
Prerequisites: Some programming experience recommended (beginner level, preferably but not limited to R or Python) for the Jupyter Notebooks, RMarkdown and Git/GitHub sessions.
What is reproducible research and how can I make my research and code reproducible? In this one-day workshop, learn how open tools like R Markdown, Jupyter Notebooks, Git and GitHub can help make your research reproducible. This full-day workshop will be split into four separate interactive sessions: “Introduction to Reproducible Research,” “Getting Started with Jupyter Notebooks,” “Getting Started with RMarkdown” and “Version Control: Using Git and GitHub.”
9:30-10:30am: Introduction to Reproducible Research (Required)
10:45-12:15pm: Getting Started with Jupyter Notebooks (Optional)
1:30-3:00pm: Getting Started with RMarkdown (Optional)
3:30-4:30pm: Version Control: Using Git and GitHub (Optional)
Register once here for access to all four sessions.
Note: Please register here first and your instructor will contact you with a Zoom link to access this webinar. <Register here>
Effectively Managing and Sharing Research Data in Spreadsheets
Regardless of discipline studied or methods used, it is likely that researchers use some sort of spreadsheet application (e.g. Excel) to investigate, manipulate, or share research data. Though easy to exchange with other researchers, difficulties can arise when using other researchers’ spreadsheet data when sharing and preservation are not adequately considered.
Join Data Services for a free session on Effectively Managing and Sharing Research Data in Spreadsheets. During this one hour session we will cover spreadsheet practices that can a) increase the possibility research data contained in spreadsheets can be re-used by others (and you) in the future, and b) help to reduce the chance of error when using spreadsheets for data acquisition.
8 modules, with 60 mins lectures and 60 mins demos. Delivered via Blackboard.
Contact us to request a past workshop.
Introduction to Network Analysis: Basic Concepts, Applications, and Tools
What comes to mind when you hear the term network? The Internet? Facebook? Multiple computers sharing information? What if I told you there was a whole realm of scholarship where researchers explore the patterns of interaction in and among networks in their many forms? Network analysis is a research method that scholars in disciplines from public health, to business, to sociology and etc. use to explore and visualize relationships between objects, entities, or people. In this workshop we will take an introductory look at this concept and the basic underlying components of the method as well as discuss some ways that researchers are currently using the method. We’ll also identify types of online tools and software, discuss how to choose the best option for you, and construct a basic data set in excel. Finally, time permitting we will have a short demo of a network analysis visualization tool. This is a basic introduction, no prior experience is necessary. Attendees may wish to bring a laptop to follow along.