COURSE DETAIL
NRSG 934 Foundations of Data Science
Credit hours: 3 per Semester
Cluster: Quantitative Research Methods, Mixed Methods
https://catalog.ku.edu/nursing/#courseinventory
Course Level: Doctoral Foundational
Course Type: PhD
IPE: Yes - Course offered by CON/SON that focuses on interprofessional collaboration/communication/teamwork and allows interprofessional students from the teaching institution
Course Open to: all
Institution:University of Kansas
Pre-requisites: Admission to the SON PhD program, Graduate level research course (NSRG 754 or equivalent), or Consent of Instructor.
Course Description: The course is designed to provide students with foundational knowledge about data science and big data. Students will learn the skills to participate on and lead interprofessional teams analyzing health and other related data to build knowledge and apply findings to practice. Topics to be examined will include diverse types and sources of data, data management techniques, exploratory data analysis approaches, and data visualization. Open to DNP and PhD students only.
Method of Instruction: other
Delivery Platform: Blackboard
Campus visits required: NA
Course Contact: Katharine Garrity
email: kgarrity@kumc.edu
Tuition: NEXus Common Price
Other considerations: Open to DNP/PhD Students only.
Available Seats by Semester for this course:
FALL 2019
Section: 1001
Instructor: TBA
Seats: 3
Credits: 3 / Semester
Start Date: 08-26-19
End Date: 12-12-19
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FALL 2020
Section: 1001
Instructor: Nancy Dunton
Seats: 3
Credits: 3 / Semester
Start Date: 08-24-20
End Date: 12-10-20
FALL 2021
Section: 1001
Instructor: Nancy Dunton
Seats: 3
Credits: 3 / Semester
Start Date: 08-23-21
End Date: 12-09-21