Brief Course Description
1. Course Title:
Data Analytic in Banking and Finance
2. Language of Instruction:
Vietnamese
3. Course Code:
BAN506157
4. Credits:
3
5. Course Objectives:
This course is designed to equip students with the knowledge and skills to apply Python in processing, analyzing, and visualizing both quantitative financial data and textual data. By engaging with and practicing techniques such as Exploratory Data Analysis (EDA), text analytics, supervised and unsupervised machine learning, sentiment modeling, and knowledge extraction, students will develop data-driven thinking and enhance their ability to apply modern technologies. The ultimate objective is to enable learners to apply these methods to practical problems in the banking and finance domain, including credit scoring, market forecasting, risk management, and the development of automated analytics systems.
6. Brief Description of Course Content:
This course equips students with knowledge and skills in applying Python to process, analyze, and visualize quantitative financial data as well as textual (unstructured) data. The content covers key techniques including Exploratory Data Analysis (EDA), text analytics, supervised and unsupervised machine learning, sentiment analysis, and knowledge extraction. These methods are applied to practical problems such as credit scoring, market forecasting, risk management, and the development of automated analytics systems.