INFS 5720 Business Analytics Methods
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INFS 5720 Business Analytics Methods:
In today's world, organizations regulate on an international scale and amass huge fractions of data from numerous sources. Management understands the necessity to comprehend how to compile and manipulate strategic data, renovate it into modern intuitions, and decipher those insights into beneficial frontline activity to conserve a decent awareness of business accomplishment and attain an active intention. The INFS 5720 Business Analytics Methods course will capitalize the students with the knowledge of advanced business analytics techniques encompassing predictive analytics and visual analytics. Both the significant hands-on experience and case analyses characterizing managerial it business analytics are enclosed. The program provides the students with a technological component in which the students will increase empirical knowledge and aptitudes in data mining and visual analytics, utilizing SAS Visual Analytics.
The successful learning outcomes of the program:
1. Appreciate how analytics can benefit satisfactorily business judgments.
2. Evaluate data employing experimenting and assessment techniques.
3. Create linear degeneration norms and infer regression statistics.
4. Establish analytic decision-making prototypes bestowed uncertainty.
5. Invent models and comprehend statistics for binary and categorical findings.
6. Develop experiments to assess the precision of analytic criteria.
7. Work together with team members to accomplish team goals.
8. Comprehend moral problems with data science and analytics, as well as their broader influences on community and unjustness.
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