Discover the Facts: Data Analysis in R

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In this hands-on workshop, we will learn the basics of data exploration, analysis and visualization with R. We will introduce and work with the Tidyverse series of library and R …

Text Analysis with NLTK [Fall Python Series]

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Python Intensive Workshops: An Exploration of Research Tools for Beginners Join GCDI for our second workshop in the Python Intensive Workshops: An Exploration of Research Tools for Beginners and learn …

Git It: Intro to Git and GitHub for Absolute Beginners

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Git and GitHub are powerful tools for collaborative and individual projects. Git is a version control software that aids with tracking changes made to a set of files over time. …

Spreadsheets aren’t Boring! Spreadsheets for Beginners

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Microsoft Excel/Google Spreadsheets is a powerful tool used by researchers to quickly summarize, clean, and make sense of data. Learning this tool could also build a foundation to learn other data analysis tools like R or Python. No experience necessary, suitable to researchers completely new to data analysis. The workshop will demonstrate how one could …

Event Series Python User Group (PUG)

Python User Group (PUG)

Remote Conferencing NY

Python User’ Group (or PUG for short) is an open and informal collaborative space for experimentation and exploration with the Python programming language. It is an opportunity for those interested …

Tables and Pandas and Python! Oh my! [Fall Python Series]

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In this online synchronous workshop, we are going to learn some basic commands in Pandas, an expansive Python library for working with tabular data like CSV files. You can think of Pandas as a more powerful version of Excel that operates within the Python environment, where you can wrangle, clean, analyze, and visualize data. Knowing …

Introduction to Python [Fall Python Series]

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Fall Python Series: An Exploration of Research Tools for Beginners   Join GCDI for a fall Python series exploring various research methods and tools. We will begin by introducing the programming language Python and then continue by practicing and building out core skills through various practical applications, including text analysis with NLTK, data analysis with …