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 aims to equip students with the knowledge and skills to apply Python in the processing, analysis, and visualization of quantitative financial data as well as textual data. Through hands-on practice with techniques such as exploratory data analysis (EDA), text analysis, and data visualization, students develop data-driven thinking and the capacity to apply modern technologies. The ultimate objective is to enable learners to apply these techniques to real-world problems in the finance and banking domain, thereby supporting applications in areas such as securities analysis and investment, risk management, and investment fund management.
6. Brief Description of Course Content:
This course provides knowledge and skills in applying Python to process, analyze, and visualize quantitative financial data and textual data. The content includes an introduction to Python and the working environment; basic data types and data structures; data manipulation and preprocessing using common libraries; descriptive and inferential statistical analysis; financial data visualization; string and text data processing; and applications of Python in financial market data analysis. The course emphasizes hands-on practice through exercises, illustrative examples, and project implementation, aiming to help learners develop data-analytic thinking and the ability to apply Python to practical problems in finance and banking.