Objective:
The course objective is to provide the student with an in-depth understanding of data mining and management within the framework of business analytics.
Learning Outcomes:
- Upon completion of this course, the student will be able to explore data-driven science
- Create and interpret multiple linear regression models
- And analyze text, networks, location and imagery data.
- Compare averages between populations
- Calculate simple linear regression
- Practice working with exponential, logarithmic, and power regression models
- Create and interpret logistic regression models
General Course Topics:
- Data-driven science in statistics, describing the data, statistical inference, confidence intervals, t-tests and ANOVA, linear, exponential, logarithmic, and power regression, multiple linear regression, logistic regression, and analyzing text, networks location, and imagery data