Course Course Summary Section 1 Content Section 1 Content Left Section 1 Content Right Credit Type: Course ACE ID: BISK-0161 Organization's ID: BAC003 Organization: Bisk Education Location: Classroom-based Length: 8 weeks (32 -- 48 hours) Dates Offered: 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 Business Administration Description Section 3 Content Section 3 Content Left Section 3 Content Right Objective: The course objective is to prepare the student to use and interpret statistical data in a business setting. Learning Outcomes: Distinguish between point and interval estimates Use R correctly and identify how it functions Apply various machine learning approaches Interpret various types of plots and charts Calculate various types of variables Calculate percentiles and Z-scores for normally distributed data Construct confidence intervals for population means Identify critical issues associated with data mining Explore meaningful data within analytics General Topics: Statistics - data driven science Describing the data Data distribution Statistical inference Simple linear regression Data mining and inferential statistics Decision trees, machine learning, and optimization 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 Learner Presentations Methods of Assessment: Examinations Minimum Passing Score: 70% Supplemental Materials Section 5 Content Section 5 Content Left Section 5 Content Right Section 6 Content Section 6 Content Left Section 6 Content Right Button Content Rail Content 1 Page Content