Python

Hikari Murayama

Instructor
Digital Health Social Justice
Energy and Resources Group

Hikari is a graduate student in the Energy and Resource Group. Her research interests involve utilizing remote sensing and geospatial analysis to address pressing problems at the intersection of humans and climate. She recently served as a Data Science for Social Good Fellow at the University of Washington eScience Institute in the summer of 2020. She is experienced and happy to help in the areas of geospatial analysis, remote sensing, and other statistical analyses and methods. Hikari is devoted to helping community members realize their potential to conduct...

Python Introduction to Machine Learning: Parts 1-2

February 7, 2022, 10:00am
This two-part workshop introduces students to scikit-learn, the popular machine learning library in Python, as well as the auto-ML library built on top of scikit-learn, TPOT. The focus will be on scikit-learn syntax and available tools to apply machine learning algorithms to datasets. No theory instruction will be provided.

Python Fundamentals: Parts 1-2

February 14, 2022, 4:00pm
Evening workshop 4-7pm. This two-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.

Melanie Phillips

Instructor
Political Science

My name is Melanie L. Phillips. I am currently a PhD Candidate in the Charles and Louise Travers Political Science Department at the University of California, Berkeley. My research examines how women’s political representation in African countries is shaped by the intersection between the rules governing candidate selection and the norms associated with gendered family roles. I use a combination of empirical methods in my work, including survey, experiments, and in-depth fieldwork.

Python Introduction to Machine Learning: Parts 1-2

February 23, 2022, 10:00am
This workshop introduces students to scikit-learn, the popular machine learning library in Python, as well as the auto-ML library built on top of scikit-learn, TPOT. The focus will be on scikit-learn syntax and available tools to apply machine learning algorithms to datasets. No theory instruction will be provided.

Python Visualization

February 17, 2022, 9:00am
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.

Python Data Wrangling and Manipulation with Pandas

February 15, 2022, 9:00am
Pandas is a Python package that provides 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.

Python Fundamentals: Parts 1-4

February 1, 2022, 2:00pm
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.

More D-Lab events and workshops coming soon!

March 15, 2022, 9:00am

More D-Lab events and workshops (Python, R, and more!) will be scheduled soon!

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See event details for participation information.

Python Fundamentals: Parts 1-4

January 11, 2022, 10:00am
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.