Course Section 1 Content Section 1 Content Left Section 1 Content Right Credit Type: Course ACE ID: BISK-0164 Version: 2 Organization's ID: BAC002 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 Data Mining or Introduction to Data Science 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: Determine the difference between data and information Explain the role of asking the right questions to extract data from a database Recognize how the web works Visualize the idea behind clustering Compare and contrast classification and decision trees. Evaluate alternative answers to questions to develop better strategies using data Recognize the practical applications of the four Vs of big data General Topics: Enterprise database and data models Extracting data from a database Overview of the data analysis landscape Getting data: social networks and geolocalization Clustering and understanding the relation of things Blackbox vs. whitebox approach and the implications Classification blackbox method Large-scale implementation: Hadoop and MapReduce Instruction & Assessment Section 4 Content Section 4 Content Left Section 4 Content Right Instructional Strategies: Audio Visual Materials Discussion Lectures 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