CST383: Introduction to Data Science
In data science, data analysis and machine learning techniques are applied to visualize data, understand trends, and
make predictions. In this course students will learn how to obtain data, preprocess it, apply machine learning methods,
and visualize the results. A student who completes the course will have enough theoretical knowledge, and enough skill
with modern statistical programming languages and their libraries, to define and perform complete data science projects
October 24, 2025
This data science project for CST383: Introduction to Data Science investigates the
relationship between a satellite’s physical characteristics and its intended mission. By developing a predictive model
to categorize satellites into six primary classes, the study demonstrated that specific mission types are strongly tied
to distinct orbital patterns. Key achievements include:
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