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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., 05-Jul-20
E.g., 05-Jul-20
June 29, 2020
Author:
Aniket Kesari
Zoom Link
June 29, 2020
Author:
Aniket Kesari

Machine learning often evokes images of Skynet, self-driving cars, and computerized homes. However, these ideas are less science fiction as they are tangible phenomena that are predicated on description, classification, prediction, and pattern recognition in data.

June 26, 2020
Author:
Drew Hart
Zoom Link
To obtain the Zoom link for this workshop please click the link below:
June 25, 2020
Author:
Aniket Kesari
Zoom Link
To obtain the Zoom link for this workshop please click the link below:
June 25, 2020
Author:
Jae Yeon Kim
Zoom Link
To obtain the Zoom link for this workshop please click the link below:
June 24, 2020
Author:
Aniket Kesari
Zoom Link
To obtain the Zoom link for this workshop please click the link below:
June 24, 2020
Author:
Jae Yeon Kim
Zoom Link
To obtain the Zoom link for this workshop please click the link below:
June 23, 2020
Author:
Aniket Kesari

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.

June 23, 2020
Author:
Aniket Kesari

This workshop will provide an introduction to graphics in R with ggplot2. Participants will learn how to construct, customize, and export a variety of plot types in order to visualize relationships in data. We will also explore the basic grammar of graphics, including the aesthetics and geometry layers, adding statistics, transforming scales, and coloring or panelling by groups.

June 22, 2020
Author:
Aniket Kesari, 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:

June 19, 2020
Author:
Renata Barreto-Montenegro, Claudia von Vacano
Zoom Link
To obtain the Zoom link for this workshop please click the link below:
June 18, 2020
Author:
Aniket Kesari
Zoom Link
To obtain the Zoom link for this workshop please click the link below:
June 17, 2020
Author:
Drew Hart
Zoom Link
To obtain the Zoom link for this workshop please click the link below:
June 17, 2020
Author:
Aniket Kesari
Zoom Link
To obtain the Zoom link for this workshop please click the link below:
June 16, 2020
Author:
Aniket Kesari
Zoom Link
To obtain the Zoom link for this workshop please click the link below:
June 15, 2020
Author:
Gift Kiti
Zoom Link
June 12, 2020
Author:
Dan Stein, Alexander Sahn
Zoom Link
To obtain the Zoom link for this workshop please click the link below:
June 12, 2020
Author:
Gift Kiti
Zoom Link
To obtain the Zoom link for this workshop please click the link below:
June 12, 2020
Author:
Aniket Kesari
Zoom Link
To obtain the Zoom link for this workshop please click the link below:

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