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This is an archive of our past training offerings. We are looking to include workshops on topics not yet covered here. Is there something not currently on the list? Send us a proposal.

E.g., 14-Nov-19
E.g., 14-Nov-19
Workshop: Git Fundamentals
April 16, 2019
Author:
Aaron Culich

Git is a powerful tool for keeping track of changes you make to the files in a project. You can use it to synchronize your work across computers, collaborate with others, and even deploy applications to the cloud. In this workshop, we'll learn the basics of understanding and using Git, including working with the popular "social coding" website, GitHub.

April 16, 2019
Author:
Caroline Le Pennec-Caldichoury

This hands on workshop builds on part 1 by introducing the basics of Python's scikit-learn package to implement unsupervised text analysis methods. This workshop will cover a) vectorization and Document Term Matrices, b) weighting (tf-idf), and c) uncovering patterns using topic modeling.

April 16, 2019
Author:
Kate Beck

Crowdsourcing is a method increasingly used in qualitative, quantitative, and mixed-methods research. However, many researchers remain unclear about what this method is, when it may be appropriate to use, and how it could be implemented.

April 16, 2019
Author:
Evan Muzzall, Chris Kennedy

This is a six-hour tutorial on machine learning in R that covers data preprocessing, cross-validation, ordinary least squares regression, lasso, decision trees, random forest, xgboost, and superlearner algorithms.

April 12, 2019
Author:
Adam Bouyamourn

This workshop will provide a comprehensive overview of graphics in R, including base graphics and ggplot2. Participants will learn how to construct, customize, and export a variety of plot types in order to visualize relationships in data.

April 11, 2019
Author:
Evan Muzzall

R Fundamentals Part 4: Putting it all together

In the final part, we will review data importation, subsetting, and visualization. Students will then be given the majority of time to reproduce a workflow on two different datasets, ask questions, and review the solutions as a group.

April 10, 2019
Author:
Nancy Thomas

This workshop introduces the basic principles of understanding digital imagery, including the fundamentals of multi-spectral imagery. Participants will learn how to find and download satellite and aerial imagery, how to display and enhance digital imagery, and basic techniques for image interpretation and analysis.

April 10, 2019
Author:
Samy Abdel-Ghaffar

For this workshop, we'll provide an introduction to visualization with Python. We'll cover visualization theory and plotting with Matplotlib and Seaborn, working through examples in a Jupyter (formerly IPython) notebook. The following plot types will be covered:

  • line
  • bar
  • scatter
  • boxplot

We'll also learn about styles and customizing plots.

April 9, 2019
Author:
Pelagie Elimbi Moudio

Pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with 'relational' or 'labeled' data both easy and intuitive. It enables doing practical, real world data analysis in Python.

In this workshop, we'll work with example data and go through the various steps you might need to prepare data for analysis.

We plan to cover:

April 9, 2019
Author:
Caroline Le Pennec-Caldichoury

This hands on workshop goes through the common “preprocessing recipe” that is used as the foundation for a variety of other applications as well as some basic natural language processing techniques.  These include: a) digitization (utf 8), b) removal of stopwords, numbers, punctuation, c) tokenization, d) calculation of word frequencies / proportions, e) part of speech tagging, and f) concordan

April 9, 2019
Author:
Evan Muzzall

R Fundamentals Part 3: Data Exploration and Analysis

Students will be introduced to data exploration and analysis in R. You will learn how to summarize data and explore it with histograms, scatterplots, and boxplots. You will also be introduced to coding statistical data analysis via t-tests, analyses of variance, correlation, and linear regression.

April 8, 2019
Author:
Marit MacArthur

Invited Lecture

How and much might a poet’s reading style change over time, and how can it be studied? What role might be played by venue, media format, poetic content, authorship, audience, and so on?
April 8, 2019
Author:
Kari Peterson

Tableau Fundamentals 1 & 2

Add data visualization to your communication toolbox without learning to code. Tableau cuts down the time you need to spend creating visualizations through an intuitive graphical user interface. Learn the basics in this hands-on, two-part workshop.

 

  • No prerequisites

April 8, 2019
Author:
Marit MacArthur

This training will introduce you to open-source, user-friendly tools for analyzing and visualizing intonation and timing patterns in recordings of performative speech, from poetry readings to political speeches to podcasts.

April 8, 2019
Author:
Rachael Samberg, Stacy Reardon

TBD.

April 5, 2019
Author:
Kari Peterson

Tableau Fundamentals 1 & 2

Add data visualization to your communication toolbox without learning to code. Tableau cuts down the time you need to spend creating visualizations through an intuitive graphical user interface. Learn the basics in this hands-on, two-part workshop.

  • No prerequisites

April 5, 2019
Author:
Adam Bouyamourn

It is often said that 80% of data analysis is spent on the process of cleaning and preparing the data. This workshop will introduce tools (notably dplyr and tidyr) that makes data wrangling and manipulation much easier. Participants will learn how to use these packages to subset and reshape data sets, do calculations across groups of data, clean data, and other useful stuff.

April 4, 2019
Author:
Patty Frontiera

Come learn how to turn your data into beautiful webmaps using R and Leaflet, one of the most popular libraries for creating web maps. We’ll cover how to build the entire workflow from raw data to interactive map all within R, so your analysis and mapping are entirely reproducible.

April 4, 2019
Author:
Evan Muzzall

R Fundamentals Part 2: Subsetting and Reshaping

April 3, 2019
Author:
Josué Meléndez Rodríguez

This session focuses on explaining the proces of creating, organizing, and applying codes within the context of qualitative research. An overview of qualitative data analysis (QDA) software will be provided, noting general advantages and disadvantages, as well as comparing popular programs. Participants will also be introduced to analysis using QDA software.

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