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Introduction to Financial Data Science

Name: Introduction to Financial Data Science
Price: 2640.00 SGD

Training Provider: Singapore University of Social Sciences

Course Reference: TGS-2026063943

S$2,640

About This Course

1. Organise and prepare large datasets for analysis using Python
2. Design suitable program flow required for real-world financial applications using Python
3. Assemble and use available Python modules for rapid prototyping and development
4. Formulate and propose suitable metric and visualisation for result communication
5. Apply good programming practices in implementation
6. Create documentation for source code management

What You'll Learn

FIN552 Introduction to Financial Data Science provides a systematic approach to leveraging financial big data for financial decision-making purposes. As financial institutions increasingly recognise the importance of collecting and processing large datasets, the demand for professionals skilled in handling these data has surged. By utilising affordable computational resources, vast amounts of data can be analysed to uncover hidden patterns and relationships that were previously undetectable. This course addresses the urgent need for future financial industry participants to organise, handle, and manipulate real-time financial data, enabling them to respond swiftly to changing market conditions. In this course, you will explore the application and implementation of data science concepts in finance. The course covers data processing techniques and how to convert data into formats suitable for statistical and machine learning models. Through real-world case studies, from established fields like asset management to emerging areas such as cryptocurrencies, you will gain practical insights into applying data science concepts in various financial context.