This course is a concentration course. Research is the cornerstone of all written assignments, as
validity is the most important component of any research project. Using your textbook, LIRN,
other researchable databases, and the Internet, develop an APA formatted paper. Your paper must
include in-text citations, references, critical thinking, creativity and innovation, and written from
the perspective of a researcher. As discussed in lecture, your analysis should take on a
3-paragraph format; Define, explain in detail, then present an actual example via research. Cite 6
peer-reviewed articles not including your textbook. Your paper must provide in-depth analysis of
all the topics presented:
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● How do you describe the importance of data in analytics?
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● Can one think of analytics without data? Explain.
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● Where does the data for business analytics come from?
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● What are the sources and the nature of that incoming data?
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● What are the most common metrics that make for analytics-ready data?
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● Why is the original/raw data not readily usable by analytics tasks?
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● How do you visualize the data?
Note :- No plagiarism
Reference Book:- Sharda, R., Delen, D., & Turban, E. (2020). Analytics,
data science, & artificial intelligence: Systems for
decision support (11th ed.). Pearson.
Print ISBN: 978-0135192016
eText ISBN: 978-0135172940