REGISTRATION NOTES
After clicking the registration link for your desired workshop, be sure to use your @berkeley.edu or @lbl.gov email address in the Zoom registration box to ensure a seamless process. Additionally, when joining the workshop, participants need to be logged in with their institutional email address in Zoom to be granted admission. You may need to log out and log back in.
Location: Remote via Zoom.
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.
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.
Date & Time: This workshop is a 3-part series running from 2pm-4pm each day:
- Part 4: Mon, January 27
- Part 5: Wed, January 29
- Part 6: Mon, February 3
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: Parts 1-3 (6 hours) series or equivalent introductory Python knowledge.
Workshop Materials: https://github.com/dlab-berkeley/Python-Fundamentals
Questions? Email: dlab-frontdesk@berkeley.edu