Business Analytics (CERT)

Introduction to analytic tools and techniques using business applications.Grading Method

Prerequisites: ECON 207, STAT 154

This course introduces concepts and skills in unsupervised data mining, prescriptive analytics, and an introduction to unstructured data analytics (text). Students will learn basic coding in R, Python, database management using SQL, and visualization with Tableau.

Prerequisites: FINA 375

This course is intended for students who have completed FINA 362 (Business Finance) and wish to apply the introductory finance concepts and theories to practical problems in corporate finance and valuation. In particular, the course will use Microsoft Excel to cover topics such as time value of money, stock and bond valuation, cost of capital, capital budgeting, financial statement and ratio analysis, and option pricing and strategies.

Prerequisites: FINA 362

The course focuses on business problem-solving and technology connections to business practices. Students will be equipped with the tools to design, build, and deploy applications that could serve as building blocks that logically synthesize business functional areas. This newfound ability to apply business logic will equip students with the necessary skills to design and construct business applications that fulfill the needs of both businesses and their clientele. Furthermore, students will acquire a deeper understanding of management, finance, marketing, and accounting constructs, which will prove valuable in a broad range of careers. This is a course that builds real-world applicable business critical thinking skills while teaching the students the skill of business application creation.

Prerequisites: MGMT 300

In this course, students will examine the role of research in decision making and the basics of scientific research, including the preparation of research proposals, design of data collection instruments, data analysis, interpretation, and reporting.

Prerequisites: MRKT 210, STAT 154 or ECON 207

Basic statistical methods including measures of central tendency and dispersion, probability, probability distributions, sampling, problems of estimation and hypothesis testing in the case of one and two sample meaans and proportions. Chi-Square, one-way analysis of variance, simple regression and correlation analysis, and brief introduction to multiple regression analysis. Use of computer statistical packages required.

Prerequisites: MATH 112 or equivalent

Goal Areas: GE-02, GE-04

An introduction to statistical concepts and methods that is applicable to all disciplines. Topics include descriptive measures of data, probability and probability distributions, statistical inference, tests of hypotheses, confidence intervals, correlation, linear regression, and analysis of variance. The use of statistical software will be emphasized. Prereq: ACT Math sub-score of 19 or higher, successful completion of MATH 098 or appropriate placement scores (see Placement Information under Statistics) Fall, Spring, Summer GE-4

Prerequisites: Satisfy Placement Table in this section, or MATH 098 with grade of P.

Goal Areas: GE-02, GE-04