Close Menu
Data Analytics Specialist Graduate Outcomes
- Proficiency in Statistical Concepts:
- Assessment Methods: Statistical problem-solving exercises, data analysis assignments, or assessments focused on statistical techniques.
- Rubrics: Create rubrics that evaluate the correctness and depth of statistical analyses performed by students.
- Data Cleaning and Preprocessing:
- Assessment Methods: Assignments or projects that involve cleaning and preprocessing datasets.
- Rubrics: Evaluate the effectiveness of data cleaning techniques and the quality of the preprocessed data.
- Data Visualization Skills:
- Assessment Methods: Assignments or projects requiring the creation of data visualizations.
- Rubrics: Assess the clarity, relevance, and effectiveness of the visualizations in conveying insights.
- Programming Skills (Python or R):
- Assessment Methods: Coding assignments, projects, or practical exams using Python or R.
- Rubrics: Evaluate the correctness, efficiency, and clarity of the code.
- SQL Proficiency:
- Assessment Methods: SQL-based assignments, database querying tasks, or projects involving data retrieval and manipulation.
- Rubrics: Assess the accuracy and efficiency of SQL queries.