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No prerequisites. Are you interested in learning how to code but don’t know where to start? Learning to code can be a daunting task if you have no background in computer science or related fields. Join JHU Data Services for this workshop to learn about coding terminology and concepts, and to jump start your journey into coding. We will provide troubleshooting tips and resources for further learning. If you plan to take any other coding workshops/courses and have no prior knowledge, then this workshop is the one for you.    

Registration link: https://jhu.libcal.com/event/7498469  

Prerequisite: Introduction to R for Absolute Beginners or some experience using R.  You’ve cleaned and analyzed your data, now learn how to visualize it. Visualizing data is critical for both understanding the meaning and patterns hidden in your data, and communicating it to an audience. This workshop by JHU Data Services serves as an introduction to using R’s data visualization tools and techniques. In this hands-on session, we’ll cover design concepts of data visualization and popular R packages, before diving into creating data visualizations for a prepared dataset using base R and ggplot2. Some prior experience in R is required.   

Registration link: https://jhu.libcal.com/event/7498549  

Prerequisite: Data Visualization in R or moderate experience using R.  Are you interested in exploring and understanding your data? Would you like to communicate your R analysis in an easy to use, interactive way? Shiny is an R package that makes it simple to build and share web applications for the purpose of visualizing and communicating your data interactively. Join JHU Data Services for a workshop introducing the Shiny package in R for developing and sharing interactive data visualizations. In this two-part hands-on session, we’ll cover design concepts of interactive data visualizations and build a Shiny web app from scratch using a prepared dataset. Some prior experience in R is required.

Registration link: https://jhu.libcal.com/event/7474435  

R is an open source software for statistical computing and graphics. Join JHU Data Services for this “Introduction to R” workshop. This 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.   

Registration link: https://jhu.libcal.com/event/7498632 

Prerequisite: Introduction to R for Absolute Beginners or some experience using R. Do you work with other people’s data? Are there times when you need to clean or reorganize these data to work for you? Join JHU Data Services for this workshop to efficiently clean data in R. You will need to have either some basic knowledge about using R or have previously attended our Introduction to R for Absolute Beginners workshop in order to take this one. We will give an overview of the concepts of data cleaning and go into great detail with tidyr package. The instructor will walk you through the basic data cleaning steps with tidyr package for the first part of this workshop. Then you will apply these skills to clean a dataset downloaded from Kaggle (https://www.kaggle.com/datasets) at the second part of this workshop. You will have plenty of opportunities to do hands-on activities on your laptop and work on datasets provided by instructors. 

Registration link: https://jhu.libcal.com/event/7498666