Data & Decision-making Science
Objectives
Data literacy has become an essential skill for professionals in all
fields, and data-driven decision making is the key to success for many
companies and organizations. Understanding how to use and apply the right data
sets can help to make better decisions for and communicate more effectively
within the organization.
This course has as primary aim to provide to the students the tools and
knowledge that enable them to analyze and leverage data for their
organizational strategy, from smart usage of publicly available sources to data
visualization techniques that bring numbers to life.
General characterization
Code
14230
Credits
2
Responsible teacher
Patrícia Xufre
Hours
Weekly - Available soon
Total - Available soon
Teaching language
Portuguese | English
Prerequisites
Available soon
Bibliography
ALBRIGHT, S.C. AND WINSTON, W.L. “BUSINESS ANALYTICS: DATA ANALYSIS AND
DECISION MAKING”, 7TH EDITION, CENGAGE (2020)
Teaching method
Dynamic
lectures, productive classroom discussion, relevant case studies, and
experiential design exercises will help the students to absorb and retain the
information they need to thrive in today’s data-centric environment.
Evaluation method
The
assessment of this curricular unit is done together with the block of
curricular units of the same area of knowledge. This assessment has 3 moments,
which together define the final grade of the curricular unit:
• Individual exam with a weighting of 50% of the total mark
• Group work with a weighting of 35% of the total grade value
• Individual reflection-action exercise carried out at the end of the
curricular unit, with a weighting of 15% of the total grade value. The set of
individual action-reflection exercises is a journaling activity, which will
constitute, at the end, a learning portfolio capable of synthesising the
contributions of the Executive Master for that student.
Subject matter
•
Types of data and sources to make effective decisions at different
organizational levels
• How organizations analyze and use data to improve their operations and
develop new products and services
• Relevant, high-value sources for government, business, and non-governmental
organizations datasets
• How to use segmentation to identify opportunities for data-driven decision
making
• How to use data to achieve organizational goals