Introduction to Business Analytics

2018-2019

Course Objective

After completing this course, the student can
1. explain what Business Analytics is and understand its relations to
other scientific disciplines,
2. apply methods from Business Analytics in the software package R,
3. deal with problems from descriptive, predictive, and prescriptive
analytics,
4. assess the outcome of methods from Business Analytics and discuss its
relevance for the underlying problem,
5. read and understand papers in the domain of Business Analytics,
6. present the Business Analytics approach clearly and insightlfully in
practical settings.
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Course Content

In this course, students get an understanding of what Business Analytics
is. The course helps you to understand the contents and the objectives
of the Business Analytics curriculum. Moreover, you will learn to see
the connections between the different scientific fields and the skills
that you need. You will develop data literacy, work with relevant
software, and acquire an analytic mindset that will help you in
data-driven decision making.

Teaching Methods

Lectures and practical tutorial sessions.

Method of Assessment

Written exam.

Target Audience

1BA

Additional Information

Attendance is compulsory.

General Information

Course Code X_400619
Credits 6 EC
Period P1+2
Course Level 100
Language of Tuition English
Faculty Faculty of Science
Course Coordinator prof. dr. S. Bhulai
Examiner prof. dr. G.M. Koole
Teaching Staff prof. dr. G.M. Koole
prof. dr. S. Bhulai

Practical Information

You need to register for this course yourself

Last-minute registration is available for this course.

Teaching Methods Seminar, Lecture, Excursion