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STAT 714. Statistical Big Data Visualization. 3 Credits.
This course is designed to equip students with the theoretical and practical tools needed to build effective and engaging data visualizations and demonstrate competence in designing and developing visual stories with data. Students will learn visual representation methods and techniques that improve their understanding of complex data and models, with emphasis placed on the identification of patterns, trends, and differences from
data sets across categories, space, and time using R, PowerBI, and Tableau. NOTE: It cannot be taken as credit towards M.S. in Applied Statistics or the Ph.D. degree or the Graduate Certificate in Statistics, but may be taken as credit for the Big Data Statistical Analysis Graduate Certificate. This course is also part of the M.S. degree program in Data Science.
Prereq: STAT 711.
Dual-listing: DATA 714.
Statistics
http://catalog.ndsu.edu/programs-study/graduate/statistics/
The Department of Statistics offers programs leading to a Doctor of Philosophy (Ph.D.) in Statistics, a Master of Science (M.S.) degree in Applied Statistics, and certificates in Statistics (for non-majors) and Big Data Applied Statistics Analysis. The program is flexible enough create a plan based on individual prior experience and in accord with professional goals. During the first year of the program, master's and doctoral students are strongly encouraged to meet with each faculty member to discuss possible research topics. The student should select a supervisory committee by the end of the first year. Graduate certificates in Statistics for non-majors and Big Data Applied Statistics Analysis are also available.