Data Analytics and Deep Learning for Financial Services
About This Course
Learning Objectives:
Learners will be able to perform data analytics and utilize deep learning algorithms to again business insights in the financial services.
Learning Outcomes:
By the end of the course, learners will be able to:
- perform Python coding for data analytics and computational modeling
- perform data analytics and visualization to translate insights and patterns embedded in the data
- apply basic deep learning techniques using Tensorflow to isolate trends and analyse root causes of issues
- apply advanced deep learnings models to uncover relationships between variables
Entry Requirements
The learners must declare their working experience or academic qualifications that validates their basic knowledge.
Knowledge and Skills
• Able to operate using computer functions
• Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
• Positive Learning Attitude
• Enthusiastic Learner
Experience
• Minimum of 1 year of working experience.
All application will be reviewed and vetted by the course administrator to ensure suitability and authenticity of the documents. If any learner is deemed not suitable, the course administrator will contact the applicant to further clarify and to provide further advice.