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Jul 27, 2024
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CIT 144 - Introduction to Data Analytics Credits: 3 Description An introduction to data analysis that uses technologies and applications to analyze and clean up data; to classify, visualize and summarize sets of sample data; and to determine if the sample data reflects characteristics of populations. Uses Microsoft Excel and the programming languages R and Python.
Student Learning Outcomes
- Classify data variables by type.
- Calculate descriptive statistics for each data variable.
- Create charts for data variables.
- Infer population characteristics from sample data.
- Process data using Microsoft Excel (Math – computation).
- Process data using the programming languages R and Python.
Prerequisite: CIT 129 or Instructor approval. Corequisite: None Graded: Letter Grade
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