BUS 310: Business Analytics II

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Course Information from the University Catalog

Credits: 3

Introduces modeling relationships contained in data and linear models to make predictions in business. Topics include estimation, hypotheses testing, statistical inference, analysis of variance and linear regression techniques. Fundamentals of linear programming to solve optimization problems in business. Apply analytical tools to gain insights from real-life datasets. Hands-on experience and application of the methods to data sets using spreadsheet software. A third attempt will require academic advisor approval. Limited to two attempts.
Registration Restrictions:

Required Prerequisites: BUS 210C, U210, 210T or 210XS.
C Requires minimum grade of C.
XS Requires minimum grade of XS.

Non-Degree level students may not enroll.

Students with the terminated from BU major attribute may not enroll.

Schedule Type: Lecture
This course is graded on the Undergraduate Regular scale.