STAT 545 Exploratory Data Analysis
Course Description
For information regarding prerequisites for this course, please refer to the Academic Course Catalog.
Course Guide
View this course’s outcomes, policies, schedule, and more.*
*The information contained in our Course Guides is provided as a sample. Specific course curriculum and requirements for each course are provided by individual instructors each semester. Students should not use Course Guides to find and complete assignments, class prerequisites, or order books.
Rationale
Taking an exploratory data analysis course is essential for developing an understanding of data patterns and relationships, detecting anomalies, and making informed decisions.
Course Assignment
Textbook Readings and Lecture Presentations
No details available.
Course Requirements Checklist
After reading the Course Syllabus and Student Expectations, the student will complete the related checklist found in the Course Overview.
Homework Assignments (7)
The student will complete weekly homework assignments in this course. There will be a set of questions assigned for each week in the textbook. Homework for each week will be written as a single, narrated R Markdown document that is well-documented, descriptive, reproducible, and easy to follow.
Project Milestone Assignments (4)
The student will complete four milestones for his/her comprehensive project on exploratory data analysis, analyzing a multidimensional dataset. All submissions must be written and narrated in R Markdown.
Project: Final Paper Assignment
The student will complete a final comprehensive report of the data analysis project. The report will be written and submitted using R Markdown.
Project: Final Presentation Assignment
The student will create a self-narrated presentation of the comprehensive data analysis project using PowerPoint, Canva, or other presentation software of choice
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