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Data Preparation, Modeling and Visualization with Python
An elective course in the Python for Data Science, Web and Core Programming Specialized Studies Program.
Course Description
Learn how to create business value by effectively importing, preparing, modeling and visualizing data using the Python programming language. Students will learn how to implement various models like linear regression, logistic regression, and decision trees; both supervised and unsupervised modeling techniques will be covered. Pandas and scikit-learn will be the primary Python packages covered in this course. Both of these packages provide power tools for those in machine learning, data science, data mining, and web data professions.
Prerequisite(s): I&C SCI X426.64 Introduction to Python Programming AND I&C SCI X426.59 Intermediate Python.
NOTE: This course may have live sessions via Zoom. A device with audio and visual will be needed to participate. The following student guide provides additional resources/information on how to use and access your courses Zoom sessions.