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At D-Lab, we're not afraid to let curiosity take the wheel and you shouldn't be either. Our services will help you feel confident in exploring your data whether it's qualitative or quantitative. Check out our upcoming workshops below!
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Introduction to Git
This workshop will provide you with the basics of using Git, a powerful tool for organizing code, collaborating with others and even deploying to the cloud. Register here!
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Text Analysis Fundamentals: Methods and Approaches
Part 1 of this 4-part text analysis workshop series will provide a non-technical introduction to basic methods and approaches of text analysis with a special focus on social sciences and the humanities. Register here!
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Introduction to Data Visualization with Plotly
Remember that great stuff you learned in Python FUN!damentals? Put it into action with this workshop on using the Python module Plotly to visualize your data! Register here!
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Data Wrangling and Manipulation in R
Cleaning and prepping data is crucial to smooth, robust analyses. This workshop will teach participants how to use software tools to ensure data is ready for analysis. Register here!
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Online Tools for Mapping Demographic Data
This workshop will introduce SimplyMap and PolicyMap, two online tools you can use to visualize demographic data and will cover each platform's strengths and weaknesses. Register here!
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Text Analysis Fundamentals: Basic Tools and Techniques
Part 2 of this 4-part series will use the NLTK Python package and will introduce preprocessing steps to take before analyzing texts. Register here!
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R Graphics with ggplot 2
Get a leg up on how to construct, customize, and export a variety of graphics in order to visualize relationships in data. Register here!
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Geospatial Data and Maps in R: Part 2
Part 2 of this geospatial series focuses on uses of ggplot2 and ggmaps for visualizing geospatial data. Register here!
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Extracting Data through Web APIs in Python
Using the New York Times for a hands-on example, this workshop will introduce participants to using RESTful APIs to extract data from web sources. Register here!
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Text Analysis Fundamentals:
Parts 3 and 4
Building off the Tools and Techniques workshop for text analysis, these hands-on sessions will introduce the basis of using Python's scikit-learn package for unsupervised text analysis methods as well as supervised text analysis methods.
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Preparing Your Data for Qualitative Analysis
If you plan to use a qualitative data analysis software package or something much more manual, this workshop will provide guidance in the best ways to prepare your data and best practices for data management. Register here!
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Qualitative Data Analysis with Dedoose
Learn how to organize and analyze data in the qualitative data analysis software package Dedoose. Register here!
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Leveraging Archival Resources at the UC Berkeley Libraries
Join Christina Marino, the Reference Archivist of the Environmental Design Archives, and Jesse Silva, the Federal Documents and Political Science Librarian, for a panel discussion on taking advantage of all that UC Berkeley Libraries have to offer for archival research. Register here!
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Get Involved in Spring 2017
Working groups are a great way to get involved in a community of like-minded researchers. You can always join at any time! See a listing of working groups on our website.
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Special Events & Announcements
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Linguistic and Ethnographic Sound Recordings from Early Twentieth-century California: Optical scanning, digitization, and access
This lecture will discuss a collaborative project that uses new technology (developed at the Lawrence Berkeley National Laboratory) to produce optical scans of all wax cylinders in the university's collection, from which improved audio transfers are being created over previous techniques. See more info here!
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BIDS Data Science Fellow Applications
BIDS is calling for applications for their Data Science Fellow Program! Find out more information on requirements, benefits of becoming a Data Science Fellow, and the application process here.
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Digital Technologies and the Future of Qualitative and Interpretive Analysis
These two talks will explore ways digital technologies and computational methods can be integrated into qualitative and interpretive projects in the social sciences and humanities, featuring D-Lab instructor Laura Nelson! Get more info here.
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Spring 2017 Tours & Orientations
D-Lab is here to support and advance research in the social sciences, humanities and related disciplines. If you are a faculty, student, or advisor the D-Lab team is available in the Spring Semester to come to your department and give an orientation of our services. We are also happy to host your group at the D-Lab for a formal or informal tour of our space and to discuss our services. Email us to arrange a visit.
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All Upcoming Workshops
Introduction to Machine Learning in R: Part 2
Fri, March 10, 2017 - 10:00 AM to 12:00 PM
Introduction to Git
Fri, March 10, 2017 - 1:00 PM to 4:00 PM
Text Analysis Fundamentals: Methods and Approaches
Mon, March 13, 2017 - 10:00 AM to 12:00 PM
Introduction to Data Visualization with Plotly
Mon, March 13, 2017 - 10:00 AM to 12:00 PM
Python FUN!damentals: Part 3
Mon, March 13, 2017 - 1:00 PM to 4:00 PM
Data Wrangling and Manipulation in R
Tue, March 14, 2017 - 10:00 AM to 12:00 PM
Panel: Leveraging Archival Resources at the UC Berkeley Libraries
Tue, March 14, 2017 - 12:00 PM to 1:00 PM
R FUN!damentals: Part 3
Tue, March 14, 2017 - 1:00 PM to 4:00 PM
Text Analysis Fundamentals: Basic Tools and Techniques
Wed, March 15, 2017 - 10:00 AM to 12:00 PM
Stata FUN!damentals: Part 3
Wed, March 15, 2017 - 12:00 PM to 3:00 PM
R Graphics with ggplot2
Thu, March 16, 2017 - 10:00 AM to 12:00 PM
Geospatial Data and Maps in R: Part 2
Fri, March 17, 2017 - 9:30 AM to 12:30 PM
Extracting Data Through Web APIs in Python
Fri, March 17, 2017 - 2:00 PM to 5:00 PM
Introduction to Data Visualization with Tableau
Fri, March 17, 2017 - 4:00 PM to 6:00 PM
Text Analysis Fundamentals: Unsupervised Approaches
Mon, March 20, 2017 - 10:00 AM to 12:00 PM
Python FUN!damentals: Part 4
Mon, March 20, 2017 - 1:00 PM to 4:00 PM
Preparing Your Data for Qualitative Analysis
Tue, March 21, 2017 - 10:00 AM to 12:00 PM
R FUN!damentals: Part 4
Tue, March 21, 2017 - 1:00 PM to 4:00 PM
Text Analysis Fundamentals: Supervised Approaches
Wed, March 22, 2017 - 10:00 AM to 12:00 PM
Qualitative Data Analysis with Dedoose
Thu, March 23, 2017 - 11:00 AM to 1:00 PM
See our calendar for more workshops in Spring semester. |
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