CST 383 - Introduction to Data Science
Course Details
2025 Spring, A, 4.00
Introduction to data science concepts and techniques. Topics include: data collection, cleaning, analysis, visualization, and machine learning. Students will learn to work with real-world datasets and apply statistical and computational methods to extract insights.
Personal Learning Experience
This course provided me with a comprehensive understanding of data science principles and practices. Through various projects and assignments, I gained practical experience in:
- Data collection and preprocessing
- Statistical analysis and visualization
- Machine learning algorithms and applications
- Data mining techniques
- Big data processing
The hands-on projects helped me understand the complete data science workflow, from data collection to insight generation. Working with real-world datasets was particularly valuable as it gave me experience in handling messy, incomplete data and extracting meaningful insights.