AI and Analytics in Finance, Credit and Related Risks (Classroom & Synchronous)
Training Provider: NANYANG TECHNOLOGICAL UNIVERSITY
Course Reference: TGS-2021001953
S$1,500
Original: S$5,000
Save S$3,500
About This Course
1. Write code to solve Accounting and Finance problems programmatically by creating AI models using R, Python, Keras, Hadoop, Spark and API.
2. Manage data to sufficiently derive, communicate analytics outcome and eventually create AI model in Accounting and Finance.
3. Implement a simple system in AWS including engineering work in implementing AI model in Accounting and Finance.
4. Equip with data modeling skills for risky events.
5. Gain an in-depth understanding of credit risk modeling concepts.
6. Introduction to relevant data mining techniques.
7. Learn to use analytics tools for credit risk and credit scoring applications
What You'll Learn
Coding expands students’ digital literacy horizon. Analytical thinking puts together critical thinking and reasoning skill. AI will allow participants to create state-of-the-art predictive and prescriptive technology which will eventually automate the process of Accounting and Finance. Increasingly, employers today mandate employees to be equipped with these skillsets to help to resolve organizations’ issues, automate business and accounting processes, data crunching, report generation and giving financial advice.
Similarly, credit-related risk is an essential area of business and finance, which leverages on the application of machine learning and data mining tools to large customer databases. This course provides fundamental tools for credit risk modeling and evaluation by data analytic techniques.
Similarly, credit-related risk is an essential area of business and finance, which leverages on the application of machine learning and data mining tools to large customer databases. This course provides fundamental tools for credit risk modeling and evaluation by data analytic techniques.
Entry Requirements
Bachelor degree in any discipline
Course Details
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.
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