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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., 18-Oct-18
E.g., 18-Oct-18
March 21, 2018
Coordinator:
Soumya Gupta

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:

March 21, 2018
Coordinator:
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 21, 2018
Coordinator:
Susan Powell

Building on the "Georectifying Historical Maps" workshop, the next step in creating useable GIS data from historical map sources often involves digitizing features to create new vector layers. This workshop will introduce the basic concepts and best-practices of feature digitization. We'll explore the tools and processes through a hands-on exercise.

March 20, 2018
Coordinator:
Evan Muzzall

R FUN!damentals 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.

March 20, 2018
Coordinator:
Isabelle Cohen

This three-part series will cover the following materials:

Part 1:  Introduction

March 19, 2018
Coordinator:
Sean Freeder

This workshop will introduce students to the basics of designing a survey instrument using the Qualtrics platform, such as randomization and survey flow. We will also cover more advanced topics like implementing embedded data and using javascript, as well as tips and tricks on how to use your design to maximize the number of quality responses you get.

March 19, 2018
Coordinator:
Geoff Bacon

In this workshop we will cover two main supervised text analysis methods, the dictionary method, and supervised classification. We will use list comprehension to implement the dictionary method, using sentiment analysis as our example.

March 19, 2018
Coordinator:
Kari Peterson

Join Kari Peterson, Associate Director of Data Analysis at Haas Development & Alumni Relations and founder of the Cal Data Visualization Network, for this workshop on best practices for communicating your data visually. We'll be covering terminology, color theory, how to pick a viz, tips for how to make sure your viz says what you want it to say, and more.

March 19, 2018
Coordinator:
Soumya Gupta

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 3 Topics:

March 16, 2018
Coordinator:
Kimberly Rubens

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 15, 2018
Coordinator:
Evan Muzzall

R FUN!damentals Part 2: Subsetting and Reshaping

March 15, 2018
Coordinator:
Geoff Bacon

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 2 Topics:

March 14, 2018
Coordinator:
Isabelle Cohen

LaTeX is a widely used document creation software which can help you improve the presentation of homework, papers, academic articles and even presentations.

March 14, 2018
Coordinator:
Kimberly Rubens

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 14, 2018
Coordinator:
Rachael Samberg

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

March 14, 2018
Coordinator:
Susan Powell

Do you want to use historical maps in your digital mapping project? Georectifying is the process of “spatializing” scanned maps or aerial imagery so that they can be used in a geographic information system (GIS) for digital mapping. This workshop will cover the basic concepts involved in georeferencing/georectifiying a digital image and provide hands-on practice. 

March 14, 2018
Coordinator:
Chris Kennedy

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.

March 13, 2018
Coordinator:
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 at the free D-Lab R workshops!

March 13, 2018
Coordinator:
Stuart Shulman

Learn how to build custom machine classifiers for sifting Twitter data using Texifter and DiscoverText, presented by Dr. Stuart Shulman, Founder & CEO of Texifter.

The topics covered include how to:

March 13, 2018
Coordinator:
Stuart Shulman

Learn how to build custom machine classifiers for sifting Twitter data using Texifter and DiscoverText, presented by Dr. Stuart Shulman, Founder & CEO of Texifter.

The topics covered include how to:

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