Brief Course Description
1. Course Title:
Economic Forecasting and Data Analysis
2. Language of Instruction:
Tiếng Việt
3. Course Code:
ECO501011
4. Credits:
3
5. Course Objectives:
In the era of data, every management and investment decision must be based on evidence and data-driven insights. This course equips students with essential techniques in economic forecasting and data analysis to address risks, build flexible scenarios, and create effective plans and strategies in business and management. Students will learn to apply statistical models, time series econometrics, and basic machine learning methods to research and data analysis. The course also develops skills for tackling practical cases from various fields such as public policy, finance and investment, market research, operations, and supply chain management. With the support of specialized data analysis software and the familiar Python programming language, the course enables students to enhance their quantitative analysis skills, meeting the growing demands of modern organizations and enterprises.
6. Brief Description of Course Content:
The course provides techniques that enable forecasters to come up with good forecasts in a short period of time and reporting those results to their stakeholders. Besides, this course also equips students with advanced quantitative techniques to analyze databases in economics and business. Especially, students are not only rigorously taught fundamental knowledge but also introduced realistic situations and guided on practice using popular software such as Eviews, IBM SPSS Statistics, Stata, R. Additionally, the course also help students get acquainted with Input-Output models, methods of impact evaluation such as propensity score matching (PSM), difference in difference (DID). Through this course, students can acquire necessary knowledge and skills to analyze data and make forecasts, which considerably help to formulate policies, strategies, plans and make decisions.