This course describes the premise of the capstone—what it entails, its purpose, and an outline of work required to fulfill the capstone project requirements.
Students are provided with an overview of the capstone course objectives—how to prepare and organize for a semester-long project, the methods used to develop a project, descriptions of project options, and the supporting work that culminates in a final project.
This course provides the information and steps needed to select a topic and a format and then prepare the project proposal that is required in the second week of enrollment.
There are formal assignments within the capstone to keep you and the instructor aware of your progress. Students can contact the instructor if clarification is needed, questions arise, or there is an interest in project topic discussion and refinement.
Course Objectives: By the end of this course, you will be able to:
- Identify and assess the needs of an organization for a data science action.
- Collect and manage data to devise solutions for data science tasks.
- Select, apply, and evaluate models to devise solutions for data science tasks.
- Interpret data science analysis outcomes.
- Effectively communicate data science information effectively in various formats to appropriate audiences.
- Transform findings from data resources into recommended future steps.
Prerequisites: DS 715: Data Warehousing, DS 730: Big Data: High-Performance Computing, DS 735: Communicating About Data, DS 745: Visualization and Unstructured Data Analysis, DS 775: Prescriptive Analytics
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