Python

Kazutoki Matsui

Instructor, Consultant
Goldman School of Public Policy

Kazutoki is an MPA student at Goldman School of Public Policy with a passion for policy and technology. He is particularly interested in how data analytics and artificial intelligence can help improve public budgeting and governmental services. Kazutoki has worked as a policy manager at Financial Services Agency, a financial regulator in Japan. Prior to that, he worked as an analyst at Ministry of Finance, mainly in charge of corporate tax policy. He is currently studying as a Japanese Government Fellow, and has also received his master’s degree in Finance from MIT.

Bobo Kwok

UTech
Data Science

I am an undergraduate student studying Data Science with an emphasis in Applied Mathematics & Modeling. I enjoy storytelling through data visuals and learning new visualization tools.

Caroline Figueroa, MD, Ph.D.

Research Fellow, Digital Health Social Justice Project Lead
School of Social Welfare
Digital Health Social Justice

Caroline Figueroa, MD Ph.D., is a Postdoctoral Scholar at UC Berkeley School of Social Welfare. She obtained her MD degree and Ph.D. degree at the University of Amsterdam in the Netherlands. Her Ph.D. research took place at the University of Amsterdam and at the University of Oxford, where she studied cognitive and neurobiological vulnerability factors for recurrence of depression in patients remitted from Major Depressive Disorder. Current research interest is on digital interventions for depression, with an emphasis on developing cutting-edge innovations that tailor to the needs of...

Sajia Darwish

Researcher
Public Health

Sajia Darwish is a masters student at the School of Public Health. Her research interests center on using empirical methods to understand and solve problems in health and education. Sajia holds a B.A. from Mount Holyoke College and a M.A. from Stanford University.

Swetha Pola

Research Fellow
School of Information

Swetha (she/her) is a 5th Year Master of Information and Data Science student at the School of Information, with experience in Cognitive Science, Psychology research, and product management. Her research interests include building ethical, transparent AI and the impacts of technologies (specifically, mass media, surveillance, and algorithms of bias) on longitudinal behavioral health. She is happy to help with questions on Python, R, SQL, machine learning, neural networks, statistical analysis, and research design!

...

Python Web Scraping & APIs

June 29, 2022, 1:00pm
In this workshop, we cover how to extract data from the web using Python. We focus on two approaches to extracting data from the web: leveraging application programming interfaces (APIs) and web scraping.
See event details for participation information.

Python Text Analysis Fundamentals: Parts 1-2

June 14, 2022, 1:00pm
This two-part workshop series will prepare participants to move forward with research that uses text analysis, with a special focus on humanities and social science applications.
See event details for participation information.

Python Deep Learning: Parts 1-2

June 7, 2022, 1:00pm
This workshop presents a brief history of Artificial Neural Networks (ANNs) and an explanation of the intuition behind them; a step-by-step reconstruction of a very basic ANN, and then how to use the scikit-learn library to implement an ANN for solving a classification problem.
See event details for participation information.

Python Fundamentals: Parts 1-4

June 21, 2022, 1:00pm
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.
See event details for participation information.

Python Visualization

June 2, 2022, 1:00pm
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 notebook.
See event details for participation information.