STA6257: Capstone Data Science

Syllabus

Course Information

Course Description

This course will provide you with an opportunity to apply the knowledge and skills that they you have gained in the program. This final project will allow student to gain experience in data wrangling, data visualization, statistical modeling and prediction, machine learning applications, reporting and presenting the results. Upon the completion of this course, you will have a data product (paper and slides) to show to potential hiring managers; see Tentative Schedule

Student Learning Outcomes

At the completion of this course, students will be able to:

  • Describe a research or business problem of interest
  • Apply and compare statistical and machine learning methods
  • Acquire, organize, summarize, and visualize data
  • Communicate and formulate statistical analysis to an audience
  • Collaborate with others

Course Materials

There is no required textbooks for this course. Course Materials are posted on Canvas. Lectures will be recorded and posted on Canvas.

Course Outline: acohenstat.github.io/STA6257/

Grading and Evaluation

The course grade will be determined as follows:

  • Quizzes Project Progress (#12): 60%
  • Oral Presentation - Slides (#1): 20%
  • Final Paper Project (#1): 20%

Grade Distribution

Final course grades will be determined according to the following scale.

Letter Grade Weighted Score
A 93%–100%
A- 90%–92%
B+ 87%–89%
B 83%–86%
B- 80%–82%
C+ 77%–79%
C 73%–76%
C- 70%–72%
D+ 67%–69%
D 60%–66%
F < 60%

University Statements and Policies

This link includes additional syllabus statements that can benefit all UWF students: University Statements and Policies