As you develop new ways of understanding how to respond to the vast amount of data at your disposal.
computer science
Description
Part
1.
As you develop new ways of understanding how to respond to the vast amount of
data at your disposal. Is data mining and the predictive pursuit in line with graded
absolutism ethical system? Establish a position based upon this ethics system
for the practitioner engaging in this domain.
Write
800 words with at least 6 other scholarly resources and All sources must be
cited in current APA format.
Part
2.
One of the key issues involved with big data, predictive analytics, and data
mining is that of governance. With the plethora of information available to
data scientists, companies are honing their skills at profiling potential
customers. Piecemealing the vast amounts of data available can help identify
groups of people and their behavior accurately. What is your role as a data
scientist in balancing personal privacy versus public good or company benefit?
In this discussion, formulate a perspective of the responsibility of rightly
protecting the people represented by the data used to determine “faint patterns
of relationship” against the use of that same data for some stated purpose or
goal.
Write
800 words with at least 6 other scholarly resources and All sources must be
cited in current APA format.
Part
3.
Discuss the role of a data scientist/analyst to influence others with responsibility
and integrity? How can a data scientist/analyst use his/her occupation to
influence others with responsibility and integrity to do the good work in the
company?
Write
800 words with at least 6 other scholarly resources and All sources must be
cited in current APA format.
Part
4
Visibility brings accountability, and the visualization of data is no
exception. As a data scientist or analyst, you will be called upon to present
data in a way that is meaningful to those who have spent far less time with the
data than yourself (perhaps presenting before coworkers and customers!).
Discuss this role of a data scientist/analyst?
Write
800 words with at least 6 other scholarly resources and All sources must be
cited in current APA format.
