Course Section 1 Content Section 1 Content Left Section 1 Content Right Credit Type: Course ACE ID: BISK-0161 Version: 2 Organization's ID: BAC003 Organization: Bisk Education Location: Classroom-based Length: 8 weeks Minimum Passing Score: 70 ACE Credit Recommendation Period: 4/1/2020 - 3/31/2023 6/1/2018 - 5/31/2021 Credit Recommendation & Competencies Section 2 Content Section 2 Content Left Section 2 Content Right Level Credits (SH) Subject Lower-Division Baccalaureate 3 Introduction to Business Analytics Description Section 3 Content Section 3 Content Left Section 3 Content Right 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: Explore data-driven science Create and interpret multiple linear regression models 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 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 Instruction & Assessment Section 4 Content Section 4 Content Left Section 4 Content Right Instructional Strategies: Audio Visual Materials Discussion Practical Exercises Methods of Assessment: Quizzes Supplemental Materials Section 5 Content Section 5 Content Left Section 5 Content Right Equivalencies Section 6 Content Section 6 Content Left Section 6 Content Right Button Content Rail Content 1 Page Content