Overview
Overview
As data and technology become increasingly fundamental to how businesses operate, understanding how to derive, communicate, and apply data-driven insights to organizational problems is an in-demand skill set that will give you an advantage over other graduates in your field.
Every industry and profession need graduates who can use data to deepen their knowledge, further their research, and make better business decisions. That’s why our minor in Data Analytics is open to all students at Woodbury University outside of the CSDA department, regardless of college or major.
Learning Outcomes
Learning Outcomes
- Students will be able to articulate meaningful lines of inquiry that might be explored through the collection, organization, visualization, and analysis of data in a context associated with their primary field of study using (as appropriate) numerical, textual, spatial, and/or visual data.
- Student will understand what data are, how they are collected, the role of metadata in understanding a given set of data, and how to assess the quality/reliability of data.
- Student will have intermediate proficiency in the acquisition and organization of data.
- Students will demonstrate intermediate proficiency in the visualization of data to communicate information and patterns that exist in the data.
- Students will be able to use at beginning level of proficiency the tools of statistics and machine learning to ask questions of and explore patterns in data.
- For a given exploration of data, students will be able to communicate both in writing and verbally the limitations of data, the methods of acquisition, the interpretation of visualized data, and the results of statistical analysis.
- In the context of data analysis, students will be able to reflect on the ethics of the questions asked of data, the methods of acquiring the data, the mode of data analysis/visualization, and the rhetoric used in communicating findings with data.
Program Learning Outcomes
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PROGRAM TOPIC CATEGORY 1
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Problem Solving in Computer Science and Data Analysis
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Program Learning Outcome
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Use data analytics methodologies to solve real-world problems by analyzing massive data sets Develop an analytical mindset.
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Program Learning Outcome
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PROGRAM TOPIC CATEGORY 2
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Databases
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Program Learning Outcome:
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Become familiar with relational and non-relational databases as well as widely used statistical techniques.
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Program Learning Outcome
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PROGRAM TOPIC CATEGORY 3
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Professional and Ethical Responsibility
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Program Learning Outcome
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Enable the students to attain the highest standards in professional and ethical practice.
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Program Learning Outcome
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PROGRAM TOPIC CATEGORY 4
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Data Analytics
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Program Learning Outcome
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Encourage fundamental discovery in data analytics.
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Program Learning Outcome
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PROGRAM TOPIC CATEGORY 5
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Tools and Techniques
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Program Learning Outcome
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Provide exposure to data analytics techniques, tools, and methodologies.
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