Brief Course Description
1. Course Title:
Data Analytics
2. Language of Instruction:
Tiếng Việt
3. Course Code:
FIN805003
4. Credits:
3
5. Course Objectives:
The course aims to provide managers and leaders in organizations and businesses with knowledge of data analysis science to help improve the efficiency and quality of decision making. The course helps learners grasp the nature of the in-depth information behind economic and financial data, thereby analyzing, describing, evaluating and being able to make forecasts as well as recommend better financial and business decisions.
6. Brief Description of Course Content:
This course explores the science of analyzing economic and financial data and applies various methods and techniques to address real-world problems in financial management and business operations. Utilizing a wide range of analytical tools, particularly Python—a powerful object-oriented programming language in data science—learners are equipped with skills to perform a complete data analysis process, including data collection, processing, description, visualization, analysis, evaluation, inference, forecasting, and decision-making support.
The course content is designed based on four foundational pillars of data analytics: descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics. Traditional analytical methods and modern analytical algorithms are introduced, such as deep learning, machine learning, and artificial intelligence, to analyze real-world economic and financial data effectively.