Skip to Main Content
It looks like you're using Internet Explorer 11 or older. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. If you continue with this browser, you may see unexpected results.
Library HoursLibrary SearchOff-campus AccessRenew LoansRedeemer AppRedeemer UniversityCollege

BUS 425: Data Analytics

The ideal dataset will have:

a)       a large number of numerical (interval, ratio) and categorical (ordinal, nominal) fields;

b)      a large number of cases (e.g., at least 250, ideally over 1,000);

c)       data fields that can act as independent variables (typically demographic, descriptive, or situational variables) and dependent variables (typically indicators of impacts, outcomes, or performance);

d)      a sufficient range of variables (i.e., characteristics, attitudes, behaviours) that allow you to develop a variety of hypotheses (or guesses) as to what relates to what; and

e)      data relevant to a business context, either for-profit or not-for-profit (at the event, customer, organization, or industry level).

 Non-business or business data that has a faith or religious element (e.g., data on faith-based organizations, religious attitudes) would also be an interesting option. Students are welcomed to discuss with the instructor any data that may not fit the above description. Non-business data are acceptable as long as the data allow for developing hypotheses and analyzing relationships on topics that are of interest to a general audience (e.g., social issues, public attitudes, economic trends).

 

Peter Turkstra Library,  Redeemer University , 777 Garner Road East, Ancaster, ON, L9K 1J4, Canada
Circulation Desk Telephone: 905.648.2139 ext. 4266, Email:   library@redeemer.ca