CST383

Introduction to Data Science

Statistical programming and the data science pipeline

Introduction to Data Science provided the skills to utilize statistical programming languages and libraries to preprocess data, apply machine learning models, and visualize complex trends. The course focused on the entire data science pipeline, from acquisition and cleaning to predictive modeling and communicating results through clear visuals. Transitioning from raw data to actionable insights felt like learning a new language, one that allows me to predict the future instead of just reporting the past.

Work from this course

1 entry
  • 2025-10-24 #cst383

    Satellite Identifier: Predictive Modeling

    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 ...
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