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Business Analytics II -- BUS 310
Course Descriptions (from the University): This course introduces the concepts of modeling relationships contained in data and the use of linear models to make predictions in business. Topics include estimation, hypotheses testing, statistical inference, analysis of variance and linear regression techniques. The course also introduces students to fundamentals of linear programming to solve optimization problems in business. Lecture: 3 hours
Prerequisites: Essential and expected knowledge: Proficiency in elementary algebra and geometry. Familiarity with recent versions of MS Word, PowerPoint, and Excel. Deficiencies in any of these areas should be self-remediated. And completion of BUS 210 with a grade of C or higher.
Syllabus -- in Word format
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Last updated: 2017 June 21st