To receive a Zoom link after registering above, please fill out the affiliations form if you have not done so at least once before: https://dlab.berkeley.edu/affiliations
Trying to register, but not affiliated with the UCB campus? If you are from Berkeley Lab (LBL), CZ Biohub, or other organizations, please register via our partner portals here.
Location: Remote via Zoom. Link will be sent on the morning of the event.
Recordings: This D-Lab workshop will be recorded and made available to UC Berkeley participants for a limited time. Your registration for the event indicates your consent to having any images, comments and chat messages included as part of the video recording materials that are made available.
Date & Time: This workshop is a 3-part series that runs from 10am-12pm on:
- Tuesday, April 2
- Thursday, April 4
- Tuesday, April 9
Start Time: D-Lab workshops start 10 minutes after the scheduled start time (“Berkeley Time”). We will admit all participants from the waiting room at that time.
Description
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
Feedback: After completing the workshop, please provide us feedback using this form.
Questions? Email: dlab-frontdesk@berkeley.edu