Demonstrate a connection to your current work environment. If you are not employed, demonstrate a connection to your desired work environment.
Practical Connection Assignment
It is a priority that students are provided with strong educational programs and courses that allow them to be servant-leaders in their disciplines and communities, linking research with practice and knowledge with ethical decision-making. This assignment is a written assignment where students will demonstrate how this course research has connected and put into practice within their own career.
Assignment:
Provide a reflection of at least 500 words (or 2 pages double spaced) of how the knowledge, skills, or theories of this course have been applied, or could be applied, in a practical manner to your current work environment. If you are not currently working, share times when you have or could observe these theories and knowledge could be applied to an employment opportunity in your field of study.
Requirements:
Provide a 500 word (or 2 pages double spaced) minimum reflection.
Use of proper APA formatting and citations. If supporting evidence from outside resources is used those must be properly cited.
Share a personal connection that identifies specific knowledge and theories from this course.
You should NOT, provide an overview of the assignments assigned in the course. The assignment asks that you reflect how the knowledge and skills obtained through meeting course objectives were applied or could be applied in the workplace.
Demonstrate a connection to your current work environment. If you are not employed, demonstrate a connection to your desired work environment.
For reference: Here is the course outline/outcomes based on that please write the assignment
Course Description
This course covers theories and applications of business analytics. The focus is on extracting business intelligence from firms’ business data for various applications, including (but not limited to) customer segmentation, customer relationship management (CRM), personalization, online recommendation systems, web mining, and product assortment. The emphasis is placed on the ‘know-how’ — knowing how to extract and apply business analytics to improve business decision-making.
Course Objectives
Upon completion of this course:
Understand management support system technologies
Understand foundations and technologies for decision making
Understand techniques for predictive modeling
Understand emerging trends and future impacts
Perform business reporting and visual analytics
Learner Outcomes
Compare and contrast predictive analytics with prescriptive and descriptive analytics.
Understand the key concepts in statistical modeling, visualization, and data mining.
Analyze the key concepts in text mining, sentiment analysis, big data, and cloud computing,
Analyze the components of knowledge systems, the Internet of Things, and Intelligent Applications.
Understand the main components of collaborative systems, robotics, and AI support systems.
