Course Course Summary Section 1 Content Section 1 Content Left Section 1 Content Right Credit Type: Course ACE ID: BISK-0163 Organization's ID: BAC001 Organization: Bisk Education Location: Classroom-based Length: 8 weeks (32 -- 48 hours) Dates Offered: 6/1/2018 - 5/31/2021 Credit Recommendation & Competencies Section 2 Content Section 2 Content Left Section 2 Content Right Level Credits (SH) Subject Upper-Division Baccalaureate 3 Business Analytics Description Section 3 Content Section 3 Content Left Section 3 Content Right Objective: The course objective is to explore issues encountered within the framework of business analytics, as well as, the role of the data scientist within business analytics. Learning Outcomes: Summarize the analytics landscape Discuss the effects of analytics within a firm or industry Evaluate tools for data storage and processing, analytical modeling, and statistical programming Use Porter's Value Chain to identify analytic opportunities Identify and define the challenges associated with quantifying social media value Explain specific supply chain management procurement processes and possible analytics activities to address those processes Address concerns related to data breaches, wireless networks, and cloud computing Provide some examples of visual displays used to support significant amounts of data Describe the role of visual data display as the primary mechanism to convey analytic findings Define the four V's of data Evaluate the strengths and challenges of ERP systems and relational databases at an enterprise level Outline how different analytics tools can support customer acquisition, such as search engine marketing and social media optimization General Topics: The realities of the business analytics landscape The four Vs of data How analytics is transforming industries and companies Analytical modeling tools Porter's Five Forces and value chain from a business analytics perspective Search engine optimization, web analytics, and social media analytics Supply chain management in manufacturing and logistics Enterprise analytics and securing data Visualization techniques used in business analytics Instruction & Assessment Section 4 Content Section 4 Content Left Section 4 Content Right Instructional Strategies: Audio Visual Materials Discussion Lectures Practical Exercises 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