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Intro to Python for Data Analysis

March 3, 2020 @ 2:10 pm - 5:00 pm

Registration Link

Instructors: Dr. Drew Fox

Dates: March 3, 2:10-5pm

Time: 2:10-5pm

Location: DataLab classroom (Shields Library room 360)


This workshop provides an introduction to using Python for data analysis. We’ll discuss what Python is and how it’s organized, demo types of tasks this software is well suited for, and delve into common libraries useful when working with data. The workshop will run from 2:10-4pm, with 4-5pm for Q&A and continued practice.

Learner objectives:

* describe how Python can be used for working with data

* describe how Python can be used in Jupyter lab

* install common libraries (pandas, matplotlib)

* perform basic variable assignments, loops, conditionals, lists, and functions

* identify where to go to learn more


This workshop is designed for learners from all domains. No prior programming experience is necessary. Bring your laptop with the latest version of Python and Jupyter Lab installed. We recommend installing with Anaconda (https://docs.anaconda.com/anaconda/install/). Please be sure that you can connect to the University’s wireless network (Eduroam or guest).

About the instructor:

Dr. Andrew Fox is an Assistant Professor of Psychology at UC Davis. His research focuses on the neurobiology of social and emotional behavior in humans and nonhuman primates. He received his PhD from the University of Wisconsin-Madison in Psychology, and uses Python in both his research and teaching. He leads the DataLab’s Python User Group, which meets Tuesdays (3:30-5pm) in Shields 360.


Workshop material (Jupyter notebooks): https://github.com/asfox/DataLab_PythonWorkshop_Olympics

Python style guide: https://www.python.org/dev/peps/pep-0008/

Naming conventions for Python packages: https://www.python.org/dev/peps/pep-0423/



March 3, 2020
2:10 pm - 5:00 pm
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Jupyter Notebooks


DataLab: Data Science and Informatics (DSI)


Shields Library, room 360