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Jul 16, 2024
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2023-2024 Yavapai College Catalog [PREVIOUS CATALOG YEAR]
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CSA 214 - Foundations of Data Science
Description: A practical introduction to the field of Data Science and familiarity with the essential facets of the data scientist profession. Emphasis on data-based reasoning, problem formulation, data collection, data pre-processing, data analytics, visualization, and the ethics surrounding the use of data and its processing. Includes how to extract strategic business insights from data, efficiently communicate them to stakeholders, and build models to predict future trends and use them to inform business strategy.
Credits: 3
Lecture: 3
Lab: 0
Course Content:
- Data analysis
- Problem-solving
- Introductory programming for analytics
- SQL concepts
- Software tools
- Visualization techniques
- Database concepts
- Ethics in visualization
Learning Outcomes:
- Articulate the relevance of data for a particular business or societal problem. (1-2)
- Manage data originating from multiple sources. (1, 3-5, 7)
- Pre-process diverse data into standardized formats. (1, 3-6)
- Evaluate exploratory data analysis to generate insights from the data. (1-2)
- Construct data into visual representations to generate insights and support decision-making. (1-7)
- Describe the ethical, legal, and social implications of data collection and processing. (1, 8)
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