UNIVERSITY EXAMINATIONS: 2017/2018
EXAMINATION FOR THE DEGREE OF MASTER OF SCIENCE IN
INFORMATION SYSTEMS MANAGEMENT
MISM 5105: PRINCIPLES OF DATA SCIENCE
DATE: APRIL, 2018 TIME: 2 HOURS
INSTRUCTIONS: Answer Question One & ANY OTHER TWO questions.
QUESTION ONE
a) Which of the three V”s of BIG data is relatively more concerned with data science. Explain
your answer. 5 Marks
b) Differentiate between big data analytics and Business intelligence. 4 Marks
c) Differentiate between the following terms as used in big data analytics:
i) Data wrangling and data munging 4 Marks
ii) ETL and ELT 4 Marks
iii) Classification and clustering. 3 Marks
QUESTION TWO
a) Discuss the following python programming language packages as used in data science
projects 8 Marks
i. Pandas
ii. Numpy
iii. Matplotlib
iv. Tensorflow
b) i)In what phase of an anlytics project would you expect to invest most time and why ?
4 Marks
ii) Where would you expect spend the least time 3 Marks
QUESTION THREE
a) Discuss the benefits of using NumPy arrays instead of nested python lists. Use examples
to illustrate 8 Marks
b) Describe the key activities of data scientist today 2 Marks
c) Describe how big data analytics can be used in marketing 5 Marks
QUESTION FOUR
Scenerio
A med`ium size retail bank in kenya wants to improve its net present value and its retention
rate of customers.They want to establish an effective market campaign targeting customers to
reduce the churn rate by at least 5%. They also want to determine whether those customers are
worth retaining. In addition the wants to analyze reasons for customer attrition and what they
can do to keep them. The wants to build a data ware house to support marketing and other
customer related care groups.
Required:
Perform an analytic plan for the bank above case study above 15 Marks
