dat565 | Graduate
Data Analysis And Business Analytics
This graduate-level course is 6 weeks To enroll, speak with an Enrollment Representative.
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Data Acquisition and Formatting
- Explain why a sample of data may not be consistent with the main data type and format.
- Evaluate an expression to transform data.
- Discuss the types of information.
- Identify data types.
- Identify information from a set of sample data.
- Create alternative explanations for a set of sample data.
- Analyze data to create metrics with a data software tool.
- Analyze how process changes might impact metrics.
Data and Information Visualization
- Develop conclusions based upon data.
- Demonstrate conclusions using an infographic or visualization.
- Formulate the processes that form the foundation for your conclusions.
Data and Analytics
- Differentiate between metrics and statistical analysis of information.
- Explore how analytics is shaping different subject areas of organizations.
- Discuss the differences between descriptive analytics and predictive analytics.
- Assess the ethical implications with respect to both individuals and institutions within the scope of data mining and predictive analytics.
- Compile visual representations of information.
- Propose how infographics convey information efficiently.
- Differentiate raw data and information.
Metrics Data and Process Modeling
- Analyze the steps of knowledge discovery of data processing.
- Identify a process for measurement.
- Tabulate a related set of metrics.
- Determine how process metrics could determine statistical patterns.
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