Python/R Project – Covid 19 Data Analysis with Python and R
Python Introduction
Python Pandas
Python Matplotlib
R Introduction
ggplot2
Covid 19 has affected people's lives in many ways all over the world.
Python Introduction
Python Pandas
Python Matplotlib
R Introduction
ggplot2
Covid 19 has affected people's lives in many ways all over the world.
Every day, thousands (if not more) of programmers, statisticians, data scientists, information professionals, and journalists use Jupyter, an open-source web app that interactively presents live code augmented with visualizations and narrative text. Known as Notebooks, these interactive scripts are perfect for working with (or teaching) coding, as well as telling an unusual story aided by visuals. In this short course, we introduce the basics of installing Jupyter and creating your first notebook.
OpenRefine is a handy desktop application that can help clean inconsistent data. This session will introduce the program and how it can be used to get an overview of a dataset, resolve inconsistencies, split data into granular parts, and match local data points to external datasets.
Learn to automate repetitive, day-to-day tasks to maximize your productivity. We'll cover the most useful features of the Unix Bourne-Again Shell, such as aliases, functions, variables, and rudimentary regular expressions.
This course is taught by Corrin Fosmire. Please contact him at dataworkshop@rice.edu if you need to cancel your registration or have any questions.
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Would you like to better manage software versions and collaborate with other researchers? GitHub is a widely-adopted code repository that supports collaboratively developing software and other text-based projects. This hands-on workshop will introduce participants to the basics of GitHub, such as setting up GitHub, creating a branch, and committing changes. We will also look at a few examples of how researchers are using GitHub. Please bring your laptop!
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Please see http://researchdata.rice.edu/training/ for the latest update, 8/23/2017.