BUSM 2320 - Business Analytics for Dat

Academic Division:

Business, Industry and Technology

Academic Discipline: Business Administration (01255)

Course Coordinator: Carmen Morrison
Assistant Dean: Vincent Palombo, PhD

3 Credit(s)
An understanding of data is fundamental to success in the digital age of business.Â This course provides the theoretical foundation of data analytics as well as the application of data analysis tools.Â Students will develop competencies to structure data and use data mining techniques in response to business scenario queries.Â Students will experience how businesses rely on data analysis every day to make relevant, data-driven decisions.Â Through projects and simulations, this course enables students to apply their technical skillsets to real-world business situations. Undergraduate

3 Lecture Hour(s);

Required Prerequisite Course(s): BUSM 2010 and CISS 1290

College Wide Outcomes

College-Wide Learning Outcomes	Assessments - - How it is met & When it is met
Communication – Written
Communication – Speech
Intercultural Knowledge and Competence
Critical Thinking
Information Literacy
Quantitative Literacy

Student Learning Outcomes for Course

Outcomes	Assessments – How it is met & When it is met
Demonstrate working knowledge of programming tools, structured query language to execute data collections, analysis and visualization processes and techniques	Quizzes, exercises, and projects/simulations Through the entire term
Evaluate business queries and choose the appropriate tools and techniques of business analytics	Quizzes, exercises and projects Through the entire term
Apply descriptive analytics to summarize historical data to provide insights into trends, patterns, and key performance indicators	Quiz, exercise and projects Beginning of term
Apply diagnostic analytics to use drill-down analysis to understand the root causes of specific outcomes or issues	Quiz, exercise and projects Middle of term
Apply predictive analytics to predict future outcomes based on historical data and statistical algorithms	Quiz, exercise and projects Middle of term
Apply prescriptive analytics to recommend actions to optimize or address a future outcome	Quiz, exercise and projects End of term
Design and create data visualizations using business intelligence tools	Project End of term

Topics:
Topic 1: Business Analytics Overview (weeks 1-4)

Topic 2: Spreadsheet and Programming Tools for Business Analytics (weeks 1-4)

Topic 3: Unstructured Data and NoSQL (weeks 1-4)

Topic 4: Structured Data and SQL (weeks 1-4)

Topic 5: Data Mining with Cluster Analysis (weeks 5-8)

Topic 6: A/B Testing Essential Business Factors (weeks 5-8)

Topic 7: Machine Learning and Deep Learning (weeks 5-8)

Topic 8: Cloud Services (weeks 9-12)

Topic 9: Web Analytics (weeks 9-12)

Topic 10: Analytics for the Internet of Things (weeks 9-12)

Topic 11: Storytelling through Visualization (weeks 9-12)

Topic 12: Metrics (weeks 13-15)

Topic 13: Predictive Analytics (weeks 13-15)

Topic 14: Optimization (weeks 13-15)
Assignments:
At a minimum, the following activities will be part of every offering of this course:

Assigned readings from the text
Homework and/or Exercises
Class Participation
Simulations and/or Projects
Quizzes/Exams

Standard Grading Scale
93-100 A

90 - 92 A-

87- 89 B+

83 - 86 B

80 -82 B-

77- 79 C+

73 - 76 C

70 -72 C-

67- 69 D+

63 - 66 D

60 -62 D-

00- 59 F

Statement on Diversity
NC State College believes that every student is a valued and equal member of the community.* Every student brings different experiences to the College, and all are important in enriching academic life and developing greater understanding and appreciation of one another. Therefore, NC State College creates an inclusive culture in which students feel comfortable sharing their experiences. Discrimination and prejudice have no place on the campus, and the College takes any complaint in this regard seriously. Students encountering aspects of the instruction that result in barriers to their sense of being included and respected should contact the instructor, assistant dean, or dean without fear of reprisal.

*Inclusive of race, color, religion, gender, gender identity or expression, national origin (ancestry), military status (past, present or future), disability, age (40 years or older), status as a parent during pregnancy and immediately after the birth of a child, status as a parent of a young child, status as a foster parent, genetic information, or sexual orientation.

Standard NCSC Course Policies
Important information regarding College Procedures and Policies can be found on the syllabus supplement located at http://catalog.ncstatecollege.edu/m