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Event Information
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. Please take the D-Lab Skill Check to see if you are ready for Python Intermediate!
Workshop Materials: https://github.com/dlab-berkeley/Python-Intermediate