This three-part interactive workshop series is a follow-up to D-Lab’s Python Fundamentals. It covers loops and conditionals, creating your own functions, analysis and visualization in Pandas, and the workflow of a data science project. Learning Objectives After completing Python Intermediate, you will be able to: Understand and write for-loops. Understand and write if-statements. Write your own functions. Do basic operations in Pandas, including simple visualizations. Understand the basic workflow for a data science project. This workshop does not cover the following: Navigating Jupyter Notebooks, assigning variables, data types, and error messages. These are covered in Python Fundamentals. Advanced DataFrame manipulation. This is covered in Python Data Wrangling. Advanced data visualization. This is covered in Python Data Visualization. Workshop Structure Python Intermediate has 3 parts. Each of the parts takes 2 hours, and is delivered in a lecture-style coding walkthrough interrupted by challenge problems and a break. Instructors and TAs are dedicated to engaging you in the classroom and answering questions in plain language. Part 1: Control Flow and Functions Part 2: Data Analysis and Visualization Part 3: Project

Are you interested in teaching and researching worldwide? The Fullbright U.S. Student program is looking for students and young professionals to engage in the global community through academic and cultural exchanges in more than 140 countries worldwide. If you would like to learn more about the program, staff from the Institute of International Education (IIE) will be holding a virtual General Presentation Session on Thursday, April 5, 2024 from 1:00 to 2:15 PM, Pacific Time. In this info session, UC Berkeley’s Fulbright Program Adviser (FPA) will also cover institution specific details, deadlines, and next steps.

In this workshop, you will learn how to streamline attendance-taking processes in your classes using iClicker and PollEverywhere. We will explore the functionalities of each platform and provide hands-on guidance on how to effectively leverage them to automate attendance tracking, and syncing to bCourses gradebook. By the end of this workshop you will: Gain a comprehensive understanding of the features and capabilities of bCourses, iClicker, and PollEverywhere for attendance tracking Develop practical skills to effectively set up and manage attendance automation Learn strategies to enhance student engagement and participation through interactive attendance-taking methods Build confidence in implementing attendance automation tools to streamline administrative tasks and focus more on teaching and learning This workshop is designed for anyone who is interested in optimizing their classroom management processes through the automation of attendance-taking. No prior experience with the platforms is required, but basic familiarity with bCourses and engagement tools (iClicker, PollEverywhere) would be beneficial. This session will run for 30 minutes, with an additional 15 minutes reserved for questions. This session will be held via Zoom. Please register to get the Zoom link. ➡️Register for this event here!⬅️

This workshop will be held virtually via Zoom on Thursday,  April 4th from 2:00–3:00 PM.

Through this session you will have an introduction to alumni & professionals working in Social Impact roles at for-profit companies. You will also learn strategies to reach out to folks working in these fields for further guidance on your career journey. 4:00-4:10pm - Welcome & Activity 4:10-4:40pm - Alumni & Professionals answer prepared questions 4:40-4:55pm - Q+A from Students 4:55-5:00pm - Wrap up & Contact info share

Geospatial data are an important component of data visualization and analysis in the social sciences, humanities, and elsewhere. The Python programming language is a great platform for exploring these data and integrating them into your research. Python Geospatial Fundamentals: Part 1 This workshop is the first one of the two-part series on using Python for fundamental geospatial analysis and visualization. After this workshop, you will be able to: Recognize different forms of geospatial data and coordinate reference system (CRS), Use GeoPandas and matplotlib libraries to map and analyze spatial data. Python Geospatial Fundamentals: Part 2 This workshop is the second one of the two-part series on using Python for fundamental geospatial analysis and visualization. After this workshop, you will be able to: Apply more advanced Python libraries for interactive visualization. Choose domain-specific spatial datasets to create your own maps.

Join Berkeley Career engagement and the Undocumented Student Program to learn resources to help maximize your career potential! DACA and undocumented students experience unique challenges when pursuing educational opportunities and employment. Undocumented students have concerns about employment barriers and their immigration status being discovered. DACA students are under constant threat of their benefits being rescinded. These communities are dedicated to educational attainment and contributing to the workforce. Berkeley Career Engagement is committed to supporting your professional success regardless of citizenship, immigration and/or work authorization status.  

Topic Modeling. How do we identify topics within a corpus of documents? In this part, we study unsupervised learning of text data. Specifically, we use topic models such as Latent Dirichlet Allocation and Non-negative Matrix Factorization to construct “topics” in text from the statistical regularities in the data.