Python Basics (2 of 5): Working with Data

This series of introductory workshops are intended for individuals with little to no familiarity with Python or similar tools that rely on a scripted environment. They are intended as a low-barrier entry into the world of research computing through the Python language.

Working with Data (workshop 2 of 5): This session will address importing Excel and comma separated value files into Python for analysis and address initial data exploration. Topics covered include variable naming conventions, variable assignment, missing values, assigning data types to variables, summaries (e.g., quartiles, categories, counts), and descriptive statistics (e.g., range, length, variance).

By the end of the session, participants should be able to import data stored in tabular format (e.g., excel, csv), standardize missing values for subsequent tidying and analysis, and use a suite of tools to comprehensively describe their data and establish if it meets underlying criteria for subsequent analysis.

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For a complete list of upcoming CSC Workshops, please visit our workshops page.

This workshop qualifies for the Scholarly Research, Writing, and Publishing Credential offered through the College of Graduate Studies.

Questions? Contact the Centre for Scholarly Communication at csc.ok@ubc.ca.