December 3 - 4
Learn the basics of Python coding and its data structure such as strings, lists, tuples, sets, and dictionaries.
In this session, the extraction of specific patterns from text will be practiced by leveraging the regular expression model. The os module will be discussed to create files and folders in an automated way. The pause model will be taught to schedule code execution.
In the second day of this class, the Pandas and Numpy modules will be used to collect, cleanse, and transform datasets. Data extraction from Google sheets will be discussed. The topic of data visualization will be covered with the modules Matplotlib and Seaborn.
University IT Technology Training classes are only available to Stanford University staff, faculty, or students. A valid SUNet ID is needed in order to enroll in a class.