Jun 14, 2024  
2023-2024 Catalog 
2023-2024 Catalog
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SDEV 101 - Data Analytics Technologies

Credits: 5
Students learn how to use tools and technologies to collect, transform, and organize data to draw conclusions and drive informed decision making. Explore data analyst career paths. No prior experience required. Previously SDEV 122.

Course Outcomes:
Students who successfully complete this class will be able to:

  1. Recall the six stages of the data life cycle.
  2. Apply filter and sort tools in a spreadsheet to process and analyze data in a file.
  3. Apply filter and sort operators in a SQL SELECT statement to process and analyze data in a database.
  4. Apply spreadsheet formulas and functions to clean and summarize data.
  5. Apply SQL functions to clean and summarize data.  
  6. Create a data visualization using a spreadsheet.
  7. Create a data visualization using a business intelligence tool.
  8. Recognize terms and concepts relating to contemporary data analytics technologies and careers.
  9. Recognize broader impacts and issues relating to data analytics such as privacy, security, ethics, and transparency.

Program Outcomes

  1. Solve data-related problems using a programming language.
  2. Demonstrate the ability to acquire, clean, and prepare data for analysis.
  3. Perform basic data analysis techniques such as filtering, aggregation, and joins.
  4. Produce and interpret data visualizations to describe, explore, and communicate insights from data.


College-wide Outcomes

  • Quantitative and Symbolic Reasoning - Quantitative Reasoning encompasses abilities necessary for a student to become literate in today’s technological world. Quantitative reasoning begins with basic skills and extends to problem solving.

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