Tuesday, June 10 through Thursday, June 12, noon-1:30 p.m., Online
Taught by Alexis Cenname
Join us for our Python Bootcamp Week, offering a comprehensive dive into Python programming. The bootcamp unfolds through a sequence of dedicated sessions that encompass the data analysis workflow. This includes importing and cleaning data, moving on to data manipulation, and employing advanced visualization techniques with the pandas and seaborn libraries. Each day’s workshop builds on the last, ensuring a comprehensive understanding and practical application of Python for data analysis.
Learners are encouraged to attend all three sessions, as they build on each other.
Day 1: In “Introduction to Python, JupyterLab, and Jupyter Notebook,” you’ll familiarize yourself with the JupyterLab interface and learn to create integrated Jupyter notebooks.
Day 2: “Data Centric Python with pandas” delves into Python’s diverse data structures and how to explore datasets using the pandas library, enhancing your data analysis skills.
Day 3: Advance your skills in “Data Exploration with pandas and Seaborn,” focusing on data summarization and the art of visualization with Seaborn.
Target Audience: The target audience for this workshop series is beginners and intermediates in data science, particularly those interested in learning Python programming for data importation, exploration, cleaning, and visualization.
Level: Novice
Prerequisites: Installation of Anaconda Navigator/JupyterLab
What you should do before attending this class: If you do not have any previous knowledge of Anaconda/JupyterLab, or do not have it downloaded on your computer, please follow the instructions given in the Overview file. It is important you complete this before the first day. The document will also provide links to additional help and resources for Python programming.
Recording status: This class will be recorded and shared with attendees.
Class Materials: Class materials will be shared with attendees.