Brief Course Description
1. Course Title:
Data Science for Finance
2. Language of Instruction:
Tiếng Việt
3. Course Code:
DAT605045
4. Credits:
3
5. Course Objectives:
- Provide foundational knowledge and practical skills in data science applications for the financial sector.
- Guide students in effectively using Python for data analysis and visualization.
- Develop the ability to process and analyze financial data, including calculating returns, risk analysis, portfolio optimization, and simulations.
- Enhance the application of data analytics to support financial decision-making in various roles and economic fields.
- Build a solid foundation for students to carry out data analysis projects in real-world financial environments.
6. Brief Description of Course Content:
Nowadays, the volume of data generated by organizations and individuals is enormous. Financial services sectors such as securities, investment services, and banking require extensive data storage and processing to support business operations. This course introduces students to data science applications in the financial field using Python, one of the most widely used tools for business analytics today, along with tools from the Python ecosystem.
In this course, students will learn to effectively use Python for the complete data analysis process, including data collection, processing, description, visualization, analysis, evaluation, judgment, forecasting, and decision-making support. The course content is structured around four key pillars of data analytics architecture: descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics.
This course will help students understand how data analysis can enhance financial decision-making and provide them with a foundation for conducting data analytics in finance-related roles within the financial sector specifically and the economic sector more broadly.