Data Analytics Prerequisites
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Rockhurst University’s Helzberg School of Management prefers the following 6 credit hours of prerequisites are taken prior to Applied Data Mining, BIA 6301, a core course within the curriculum.
- Statistics and Machine Learning, BIA 6201 (2 credit hours)
- Analytics & Computational Programming, BIA 6202 (2 credit hours)
- Databases for Analytics, BIA 6203 (2 credit hours)
In some cases, equivalent knowledge of the prerequisite courses may be substituted.
Course Descriptions
BIA 6201. Statistics and Machine Learning (2 credit hours)
This intermediate level class covers multiple and logistic regression methods including correlation, residual analysis, analysis of variance, and robustness. These topics will be studied from a data analytic perspective using business examples. The class also explores multivariate models as they relate to problems encountered in data and text mining. Prerequisite: Introductory statistics and knowledge of the R computing Language.
BIA 6202. Analytics & Computational Programming (2 credit hours)
This is an introductory course in programming in the Python and R languages. Fundamentals of program design, data types, control structures, use of external libraries, integrated development environments, and notebook computing environments will be covered. The full programming design cycle of problem analysis, data gathering, coding, debugging, maintenance, and documentation will be included. This course or the equivalent work experience must be completed prior to BIA 6201.
BIA 6203. Databases for Analytics (2 credit hours)
This course that details database design, normalization and query methods that are pertinent for analytics. Topics will include relational databases, SQL, data warehouse architecture, data marts and data lakes. Further investigation will include cloud computing options, APIs and emerging forms of databases. The emphasis is placed on the use of these infrastructures and architectures for analytics. Prerequisite: Introductory course in programming or computer science.
Additional Programs
For more information about the suite of graduate business programs from Helzberg, please click here: School of Management Programs.
