Course Code & Number
BA 417
Course Title
Business Data Analytics
Level
BS
Credit Hours/ ECTS Credits
(3+0+2) 4 TEDU Credits, 7 ECTS Credits
Year of Study:
Senior
Semester:
Fall
Type of Course:
Compulsory
Mode of Delivery:
Face-to-face
Language of Instruction:
English
Pre-requisite / Co-requisite::
Pre-requisites: BA 401-O OR BA 401
Co-requisites: NONE
Catalog Description
Introduction to business analytics, descriptive statistics, data visualization, linear regression, time series analysis and forecasting, descriptive data mining, spreadsheet models, Monte Carlo simulation, linear optimization models.
Course Objectives
This course equips students with the knowledge and skills required to manage, analyze, and interpret data for effective business decision-making. Students will explore data management techniques, data analysis methods, and approaches to identifying meaningful patterns and insights from business data. The course provides students a toolkit of analytical techniques and practical methods for transforming data into actionable business insights and developing data-driven strategies.
Course Learning Outcomes
Upon successful completion of this course, students will be able to
- Define business analytics and its role and contributions in decision making,
- Explain the nature of big data and how it can be exploited to create value,
- Compare methodological approaches to business analytics and their application contexts,
- Apply descriptive, predictive, and prescriptive analytics methods on business data under corresponding decision-making contexts.
Course Coordinator:
Prof. Aydin Yuksel