Brief Course Description
1. Course Title:
Business Data Analytics (SM) - Assignment
2. Language of Instruction:
Vietnamese
3. Course Code:
BUS617025
4. Credits:
3
5. Course Objectives:
- Understand how managers use business analytics to identify and solve business problems, as well as to support their decision-making.
- Understand the role of visual analysis in business analytics.
- Understand types/forms of business data and methods of data storage.
- Describe linear data analysis models and their applications.
- Describe discrete data analysis models and their applications.
- Understand machine learning and its applications in business data analysis.
- Apply the above models to extract and analyze data from real-world business situations.
6. Brief Description of Course Content:
It is essential in today’s digital and global business world to acquire an in-depth understanding and knowledge of data analytics methods. Analytical skills are critical in providing relevant, accurate and timely information for decision making in a dynamic and global business environment.
In order to provide participants with the necessary data analytical skills, we introduce them to relevant data analytical methods, show them how to apply these methods, how to interpret their findings, and present and communicate these findings. After providing an introduction to data analytics, we will focus on core data analytical techniques such as ANOVA and linear regression analysis. We will then extend the participants’ knowledge and insights by covering more advanced data analytics with practical applications, such as factor analysis, limited dependent variables, time series analysis and machine learning-based predictive models. We will use R and/or Stata as the analysis platforms for this course. While Stata is the propriety software, R is an open source allowing for a wide variety of data analytics as Stata does.