Course Description
The foundations for analyzing and understanding data-oriented problems, decomposing them, and expressing them in a form for computational analysis. This involves the acquisition, manipulation, analysis, and visual representation of data to provide insights into a particular problem and support decision making. While the proximate goal is to improve data analytics skills, the ultimate goal is to equip students with superior decision-making skills.
Athena Title
Data Literacy in Business
Non-Traditional Format
Solutions will be created by leveraging a data querying tool (SQL) and by using a general purpose high-level data analytics language.
Grading System
A - F (Traditional)
Course Objectives
This course is open to non-MIS students only. Upon successful completion of this course, students will be able to use analytical and algorithmic concepts and strategies to formulate, analyze, and solve data-oriented problems with the help of computational tools. Specifically, students will be able to: • Decompose a problem into its finer components • Formulate multiple solutions and approaches to solve a problem • Acquire the necessary data to solve a problem • Prepare data for analysis • Formulate database queries • Conduct analysis of data • Prepare data visualizations • Work in teams on various data-related projects • Prepare data-driven managerial reports • Present findings to an audience
Topical Outline
1. Critical thinking and structured approaches to data-driven problem solving 2. Understanding data models 3. Relational DBMS and SQL 4. Programming language 5. Data manipulation 6. Data visualization 7. Reporting of data-oriented problems and solutions 8. Presenting on data-oriented problems and solutions