Qualtrics

Qualtrics Fundamentals

September 26, 2024, 3:00pm
Qualtrics is a powerful online tool available to Berkeley community members that can be used for a range of data collection activities. Primarily, Qualtrics is designed to make web surveys easy to write, test, and implement, but the software can be used for data entry, training, quality control, evaluation, market research, pre/post-event feedback, and other uses with some creativity.

Iñigo Parra

Availability: By appointment only

Consulting Areas: Python, R, LaTeX, Data Manipulation and Cleaning, Data Science, Data Visualization, Deep Learning, Digital Humanities, Machine Learning, Natural Language Processing, Social Network Analysis, Regression Analysis, Means Tests, Bash or Command Line, Excel, Gephi, Git or Github, Qualtrics, RStudio, Overleaf

Aaron Culich

Schedule an Appointment

Consulting Areas: Python, R, SQL, AI & LLMs, APIs, Cloud & HPC Computing, Informatics, Data Wrangling, Databases & SQL, Bash or Command Line, Git or Github, Web Scraping

Severin Saenz, MCP

Academic Program Manager III, Consultant
Department of City and Regional Planning

I'm a graduate of the Department of City and Regional Planning. My areas of expertise are affordable housing, k-12 education, and community economic development.

Jane (Mango) Angar

Data Science Fellow 2024-2025
Political Science

Hi! I am a PhD candidate in the Political Science Department at UC Berkeley. My dissertation traces the emergence of disability rights groups in Africa, focusing on Zambia and Malawi, and examines factors influencing their effectiveness. I use mixed methods, including archival work, field interviews, participant observation, and surveys for data collection.

My data analysis techniques include text analysis, social network analysis, means tests, and regressions. In my free time, I enjoy moderately difficult hikes, walks along the beach with my dog, Princess, and...

Kamya Yadav

Senior Data Science Fellow
Political Science

Kamya is a third year PhD student in the Department of Political Science. Using multimethod research, she studies gender, representation, and political parties in India to understand the barriers and pathways to women's political participation and representation. She has a BA in Politics from Princeton University.

Elaine (Hua) Luo

Data Science Fellow 2024-2025
Graduate School of Education

Elaine (Hua) Luo is a PhD candidate in the Graduate School of Education, School Psychology PhD program. Her research interests focus on adolescents’ identity development and well-being under the transactional influence of entities in their socio-ecological systems. In her research, Elaine has utilized not only quantitative but also qualitative and mixed methods to study her research topics of interest. Before coming to Berkeley, Elaine earned her Master’s in Human Development and Psychology from Harvard Graduate School of Education and her Bachelor of Art in Education Sciences from...

Elijah Mercer

Data Science Fellow 2024-2025
School of Information

Elijah, originally from Newark, New Jersey, now resides in San Francisco, California, dedicated to social and juvenile justice. With a Criminology degree from American University, he began as a research intern at the Investigative Reporting Workshop, focusing on the Digital Divide.

Teaching in Baltimore with Teach for America reinforced his belief in research and data for marginalized communities. In roles at the Coalition Against Insurance Fraud, New York Police Department, and San Francisco District Attorney’s Office, Elijah used data to combat crime. Now...

Amanda Glazer

Instructor
Statistics

Amanda is a PhD candidate in the statistics department at Berkeley. Her research focuses on causal inference with applications in education, political science and sports. Previously she earned her Bachelor’s degree in mathematics and statistics, with a secondary in computer science, from Harvard.

Chirag Manghani

Consultant
School of Information

Chirag is a 2nd year graduate at the I-School. Proficient in Python, Java, R, and SQL, he navigates software application development, machine learning and data science. His keen interest lies in data analysis and statistical methods, driving him to bridge theory and practice seamlessly. Chirag's dedication to excellence, adaptable mindset, and innate curiosity define him as a dynamic problem solver in the ever-evolving tech landscape.