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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., 19-Sep-19
E.g., 19-Sep-19
March 11, 2019
Author:
Michael Sholinbeck

Participants in this workshop will learn about some of the issues surrounding the collection of health statistics, and will also learn about authoritative sources of health statistics and data. We will look at tools that let you create custom tables of vital statistics (birth, death, etc.), disease statistics, health behavior statistics, and more. The focus will be on U.S.

March 11, 2019
Author:
Samy Abdel-Ghaffar

This four-part, interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience. By the end of the series, you will be able to apply your knowledge of basic principles of programming and data manipulation to a real-world social science application.

Part 1 Topics:

March 8, 2019
Author:
Max Sgro

Visualization in Excel: In Visualization in Excel, we will cover the fundamentals of visualization in Excel, including a checklist of considerations that should go into every visualization. We will also go through step by step instructions on how to make horizontal bar charts, slope graphs, butterfly charts, the good kind of pie charts, icon arrays, and how to graph confidence intervals.

March 7, 2019
Author:
Patty Frontiera

This 2-part workshop will introduce ESRI's ArcGIS Online (AGOL), a web based platform for creating online maps, processing geospatial data and doing spatial analysis. Part 2 will focus on ways to share geospatial data hosted on AGOL using ESRI Story Maps, Operations Dashboards, and custom programming.

March 7, 2019
Author:
Rachael Samberg

This training will help you navigate the copyright, fair use, and usage rights of including third-party content in your digital project.

Workshop: Sociology 146 AC
March 7, 2019
Author:
Jon Stiles
March 6, 2019
Author:
Max Sgro

This class will cover the basics of Excel, from simple formulas (SUM, COUNTIF) to more complex Excel features like Macros and the Data Analysis ToolPak. By the end of both sections, students will be able to employ Excel skills to open source policy data sets. These skills are transferrable to any sector.

Topics Covered Will Include:

March 6, 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.

March 5, 2019
Author:
Patty Frontiera

This 2-part workshop will introduce ESRI's ArcGIS Online (AGOL), a web based platform for creating online maps, processing geospatial data and doing spatial analysis. Part 1 will provde a hands-on overview of uploading data to AGOL, creating web maps, and symbolizing mapped data by attribute values. Part I will also introduce the tools for geoprocessing and spatial analysis. 

March 5, 2019

Please join the D-Lab for an Open House celebrating Data & Tech for All Week. D-Lab welcomes all members of the campus community to join us from 12-1pm for a light lunch and short presentation on D-Lab instructional support services and how these embody our community philosophy of IOKN2K: it's ok not to know.

March 5, 2019
Author:
Samy Abdel-Ghaffar

This workshop introduces students to scikit-learn, the popular machine learning library in Python, as well as the auto-ML library built on top of scikit-learn, TPOT. The focus will be on scikit-learn syntax and available tools to apply machine learning algorithms to datasets.

March 4, 2019
Author:
Max Sgro

This class will cover the basics of Excel, from simple formulas (SUM, COUNTIF) to more complex Excel features like Macros and the Data Analysis ToolPak. By the end of both sections, students will be able to employ Excel skills to open source policy data sets. These skills are transferrable to any sector.

Topics Covered Will Include:

March 4, 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.

February 27, 2019
Author:
Patty Frontiera

Geospatial data are an important component of social science and humanities data visualization and analysis. This workshop will introduce basic methods for working with geospatial data in Python using GeoPandas, a relatively new Python library for working with geospatial data that has matured and stabilized in the last few years.

February 27, 2019
Author:
Max Sgro

Visualization in Excel: In Visualization in Excel, we will cover the fundamentals of visualization in Excel, including a checklist of considerations that should go into every visualization. We will also go through step by step instructions on how to make horizontal bar charts, slope graphs, butterfly charts, the good kind of pie charts, icon arrays, and how to graph confidence intervals.

February 27, 2019
Author:
Evan Muzzall

R Fundamentals Part 2: Subsetting and Reshaping

February 26, 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.

February 25, 2019
Author:
Max Sgro

This class will cover the basics of Excel, from simple formulas (SUM, COUNTIF) to more complex Excel features like Macros and the Data Analysis ToolPak. By the end of both sections, students will be able to employ Excel skills to open source policy data sets. These skills are transferrable to any sector.

Topics Covered Will Include:

February 25, 2019
Author:
Evan Muzzall

Data are the foundations of the social and biological sciences. Familiarizing yourself with a programming language can help you better understand the roles that data play in your field. Learn to develop and train your data skills for free at our R workshops!

February 25, 2019
Author:
Drew Hart

Raster data are used to represent geographic phenomena that are present and can be measured anywhere in a study area, like elevation, temperature, rainfall, land cover, soil type, etc. These data are a valuable resource for social scientists, planners, and engineers as well as natural scientists. This workshop will introduce basic raster concepts and methods for working with raster data in R.

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