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Teaching Data Analytics - Pedagogy and Program Design (Hardcover)
Loot Price: R4,585
Discovery Miles 45 850
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Teaching Data Analytics - Pedagogy and Program Design (Hardcover)
Series: Data Analytics Applications
Expected to ship within 12 - 17 working days
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Donate to Against Period Poverty
Total price: R4,605
Discovery Miles: 46 050
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The need for analytics skills is a source of the burgeoning growth
in the number of analytics and decision science programs in higher
education developed to feed the need for capable employees in this
area. The very size and continuing growth of this need means that
there is still space for new program development. Schools wishing
to pursue business analytics programs intentionally assess the
maturity level of their programs and take steps to close the gap.
Teaching Data Analytics: Pedagogy and Program Design is a reference
for faculty and administrators seeking direction about adding or
enhancing analytics offerings at their institutions. It provides
guidance by examining best practices from the perspectives of
faculty and practitioners. By emphasizing the connection of data
analytics to organizational success, it reviews the position of
analytics and decision science programs in higher education, and to
review the critical connection between this area of study and
career opportunities. The book features: A variety of perspectives
ranging from the scholarly theoretical to the practitioner applied
An in-depth look into a wide breadth of skills from closely
technology-focused to robustly soft human connection skills
Resources for existing faculty to acquire and maintain additional
analytics-relevant skills that can enrich their current course
offerings. Acknowledging the dichotomy between data analytics and
data science, this book emphasizes data analytics rather than data
science, although the book does touch upon the data science realm.
Starting with industry perspectives, the book covers the applied
world of data analytics, covering necessary skills and
applications, as well as developing compelling visualizations. It
then dives into pedagogical and program design approaches in data
analytics education and concludes with ideas for program design
tactics. This reference is a launching point for discussions about
how to connect industry's need for skilled data analysts to higher
education's need to design a rigorous curriculum that promotes
student critical thinking, communication, and ethical skills. It
also provides insight into adding new elements to existing data
analytics courses and for taking the next step in adding data
analytics offerings, whether it be incorporating additional
analytics assignments into existing courses, offering one course
designed for undergraduates, or an integrated program designed for
graduate students.
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