Python Intermediate: Parts 3 of 3

Online via Zoom

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 Prerequisites: D-Lab's Python Fundamentals (6 hours) series or equivalent introductory Python knowledge. Workshop Materials: https://github.com/dlab-berkeley/Python-Intermediate

Python Machine Learning Fundamentals: Parts 1 of 2

Online via Zoom

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. Prerequisites: D-Lab’s Python Fundamentals introductory series or equivalent knowledge. Workshop materials: https://github.com/dlab-berkeley/Python-Machine-Learning-Fundamentals Software Requirements: Installation Instructions Is Python Not working on your laptop? Attend the workshop anyway, we can provide you with a cloud-based solution until you figure out the problems with your local installation. Feedback: After completing the workshop, please provide us feedback using this form Questions? Email: [email protected] LOCATION: Remote via Zoom. Link will be sent on the morning of the event.

Survey Fundamentals

Online via Zoom

This two-hour workshop offers a comprehensive introduction to designing and conducting survey studies. Tailored for beginners, it provides clear, step-by-step guidance complemented by concise examples, practical considerations, and useful support materials. Participants will learn the entire process, from formulating a research question to creating, administering, and analyzing surveys, as well as interpreting results and communicating their findings. Special emphasis will be placed on crafting survey instruments that are succinct, unbiased, and effectively aligned with your research objectives. Additionally, instructors will share a curated list of recommended resources.

McKinsey APD Resume Workshop

Online via Zoom

Join us to discuss tips and advice for creating an effective resume as a PhD, MD, JD or non-MBA Masters student. This event is for APD candidates graduating in 2025. Our format will be informal, so please feel free to dress comfortably. We also encourage you to attend with video so we can see your faces!

Syllabus and Course Design

Online via Zoom

Are you responsible for designing a course and syllabus for this coming spring or next fall? Are you​ ​interested in developing a syllabus for the academic job search? In this workshop, participants will learn ways to turn their syllabus ideas into integrated courses and will work out criteria for selecting course materials, assignments, and methods​ ​of​ ​assessment.