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Python for Data Analysis: Python Fundamentals workshop
Mar 2, 2022
11:30 AM - 12:50 PM
Online venue,
University of Iowa, Iowa City, IA 52242
1. Overview
Python is a powerful general-purpose programming language. This workshop focuses on the basic concepts and features of Python that will serve as building blocks for data analysis tasks. The workshop is taught using Jupyter Notebook in the Interactive Data Analytics Service (IDAS).
2. Prerequisites
No experience with Python or Jupyter Notebook is required.
3. Eligibility
This workshop is available to current University of Iowa members only.
4. How to register
Click here then log in with your HawkID and password. Click “Register now” at the bottom of the page to register. After registering successfully, an automated email with a Zoom link will be sent to your University of Iowa email. Registration will close at 11 am on Monday, February 28, 2022.
5. Additional information
If you have any questions, please see the workshop FAQs or contact research-computing@uiowa.edu.
6. Workshop agenda
This workshop is taught in 3 sessions over 3 days. Each session builds on the previous ones. Participants are encouraged to attend all sessions in order to learn the complete contents of the workshop.
Again, note that we start by learning the basic concepts and features of Python that will be relevant for data analysis tasks later. If you are already familiar with the concepts below, please see the workshop FAQs for a list of additional, free learning resources.
Tentative topics to be covered:
Day 1:
- Using Jupyter Notebook - the basics
- Numbers and arithmetic
- Built-in functions
- Variable assignment
- Strings
- Booleans
- Comparison statements
Day 2:
- Conditional statements
- Defining functions
- More about strings
- String methods
- Lists
Day 3:
- Lists
- for loop
- The range() function
- List comprehensions
- while loop
- Modules
Individuals with disabilities are encouraged to attend all University of Iowa–sponsored events. If you are a person with a disability who requires a reasonable accommodation in order to participate in this program, please contact in advance at