Events are updated in January and July of each year.

Dear Workshop participants, 

 

As Data Services transitions our in-person workshops to a webinar format, we are making some scheduling changes for our classes. Please refer to our schedule below to see an updated list of webinar offerings and registration instructions. We will continue to update this page as we add new webinars. Please contact us at dataservices@jhu.edu with any questions.  

 

Thanks, 

Data Services 

Sun Mon Tue Wed Thu Fri Sat
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(Webinar) Data Visualization in R  9:30 am
(Webinar) Data Visualization in R 
Apr 7 @ 9:30 am – 12:30 pm
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[...]
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(Webinar) Introduction to Python for Absolute Beginners 4:30 pm
(Webinar) Introduction to Python for Absolute Beginners
Apr 15 @ 4:30 pm – 7:00 pm
Python is a popular programming language that is used for data management and analysis, web development, software development, machine learning and artificial intelligence.  Although we will not be going quite that deep in this introduction, this JHU[...]
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(Webinar) Interactive Data Visualization in R with Shiny (Two-day, 3-hr sections)  9:30 am
(Webinar) Interactive Data Visualization in R with Shiny (Two-day, 3-hr sections) 
Apr 21 @ 9:30 am – 12:30 pm
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[...]
(Webinar) Data Cleaning in OpenRefine  1:00 pm
(Webinar) Data Cleaning in OpenRefine 
Apr 21 @ 1:00 pm – 3:30 pm
Do you work with data in spreadsheets? Are you tired of editing spreadsheets cell-by-cell to clean your data? This JHU Data Services workshop will teach you how to clean and standardize your data efficiently and reproducibly using OpenRefine. OpenRefine is[...]
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