Brief Course Description
1. Course Title:
Data Analysis Methods
2. Language of Instruction:
Tiếng Việt
3. Course Code:
ECO601001
4. Credits:
3
5. Course Objectives:
6. Brief Description of Course Content:
Quantitative method in economic research (econometrics) is an important subject for learners of economics majors. The use of observed data to quantify and verify socio- economic relationships is a fundamental part of the study, research, and application of economics. Econometrics has never been a simple subject, but applying the principles and techniques of this subject helps economics learners to test the theories and arguments they encounter (although it also takes a critical mind strong enough to make them doubt what is being communicated), and give answers to the questions raised (even though it is an important task such as a thesis, research project, or project, or it is simply a product of personal curiosity) which based on empirical data and scientific background.
In addition to introducing learners to popular econometric theories and models, the lectures also guide how to collect, manage and analyze data for quantitative research using statistical software, R. Learners are guided by descriptive statistics using tables, graphs, and numerical quantities; the probability distribution of the sample mean; interval estimation and hypothesis testing.
R is a well-known statistical and calculation software, widely used in learning, research and business. R is not new, but for many reasons it does not seem to be used in econometrics as widely as other software such as Eviews, SPSS or STATA. R has many advantages: powerful, flexible operation, rich in resources (thanks to its open source code and contributed by a large number of users), and free. In terms of teaching and learning econometrics in a developing country like Vietnam, R is easily accessible and should be used widely. That's not to say to extremely promote for a certain instrument. The lecturers and those who are involved in drafting the course content also depend on different software to deliver the most appropriate content for learners. Learners are encouraged to use different instruments to compare their effectiveness and suitability in performing the analytical manipulations covered by the course if conditions permit.