Workshops
D-Lab Workshops
D-Lab provides a venue to ensure researchers can overcome technical barriers to accelerate and improve their research projects by taking full advantage of advanced scientific computing. Our workshops offer instruction in the following areas: Python Fundamentals (4 part series), R Fundamentals (4 part series), Stata Fundamentals (3 part series), Data Wrangling and Visualization in, Python and R, Text Analysis, Machine Learning, Artificial Neural Networks, Geospatial Analysis (GIS)
Digital Publishing Series
Whether you are looking to create a companion website for your book, a scholarly portfolio, or a full-scale digital project, this workshop series is designed to get you up and running with the skills and tools you need for successful digital publications. This series is designed for faculty, graduate students, and staff in the Humanities and Social Sciences and is open to any member of the UC Berkeley community.
Working with Qualitative and Textual Data Series
This series of workshops is designed to help graduate and undergraduate students work with qualitative and textual data. Sessions include cleaning and coding qualitative data in MaxQDA and the open-source Taguette program, organizing and writing up research projects in Scrivener, and archiving qualitative data once a project has been completed. Each workshop is designed to act as a starting point for learning concepts and will familiarize attendees with additional resources for getting help.
Introduction to Data Analysis and Visualization Series
This series of workshops is designed to help undergraduates learn python basics for data analysis and visualization. Developed from the Software Carpentry Curriculum, undergraduate Data Peers will lead workshops to introduce basic data manipulation and visualization with Python. Each workshop is designed to act as a starting point for learning concepts and will familiarize attendees with additional resources for getting help. This series also serves as a data analysis starting point for undergraduates in the Data Science Discovery Program. All workshops will begin on Berkeley Time at 10 minutes past the hour. Unless you are already familiar with Python, these workshops are best taken as a successive series.
Consultations
Consultants can assist with the full cycle of research projects including research design, survey methods, sample design, data acquisition, statistical methods, evaluation and communication of results. Consultants have advanced knowledge in technical applications such as Python, R, GIS, and NVivo and cutting edge data science techniques such as Machine Learning and Natural Language Processing.
Research IT offers consulting for UC Berkeley researchers. From identifying the best computing solution to working with sensitive data, Research IT consultants are poised at the intersection of research and technology and can help. We are here to help understand your needs, match you to appropriate resources, and help you get started using them. Our diverse team is made up of experts in both data and computing from a wide variety of domains.
The Library Data Services Program guides scholars to discover, access, share, and preserve data through dataset acquisition, discovery and librarian-led instruction and consultations.