Data Analytics with provided sample CSV file or can use other
data sources that are publicly available
To use the CSV file provided (dataanalytics-class-data.csv) or use
other data sources that are publicly available.
literature
review required that critically discusses the concepts
of Data Science & Data Analytics and the difference between the two
concepts in academic and practitioner literature (1000 Words)
Find and
discuss relevant literature (peer-reviewed literature is preferred, such
as journal articles, conference articles, with books, white papers,
practitioner literature).
Using
concepts discussed in the module, and in relation to the dataset selected,
define data analytics problem: (1500 Words)
Problem and
the questions asked should be clear. Also to consider the audience e xplicitly.
You can also discuss here data wrangling issues, problem identification
challenges, and show some basic exploratory analysis.
Using best
practices in storytelling with data, prepare a presentation of the
findings of your analysis that could be used in a board room setting in
order to lead to a decision on the original problem previously defined.
This presentation can either be embedded as a PowerPoint document in the
Word file you submit or be a (sub)section of the document itself (with use
of graphics). (1000 Words)
Using an established
framework (for example, principles of data analytics (see Hicks and Peng
(2019) for reference)), consider the limitations of your analysis, and
possible ways in which this could have been improved had you had more
data, time, etc. Focus more on analysis more than on the quality of the
dataset itself. (500 Words)
Harvard
referencing at least 15 and overall presentation professionalism of the paper
well structed and supported with graphs that will not be counted part of required
wording.
