Course Outline on Data Management, Organization and Protection

Course Outline on Data Management, Organization and Protection

This is a non-technical course designed for C level managers as well as project and mid level management to equip them with the exposure necessary to face the current surge of Data and Machine Learning. This course deals with how to leverage it for maximum output for the organization while adhering to maximum compliance to safeguard the protection of the data.

This course shall not deal with any coding or programming. However, there shall be references made to various technologies and software systems and presented with overviews of systems.

The learning outcome of this course shall be the ability tfo the learner to Understand and Comprehend:

• The basis of The CRoss Industry Standard Process for Data Mining
• Preparation of Data
• Foundations of Analytics
• Models for Analytics
• Methodologies to structure your data governance program
• Creating a data governance program charte
• How to measure the effectiveness of a data governance program
• Recognize the role and responsibilities of a data protection
• Formulate data protection policies and practices

The pre-requisites for the course are:

• Understanding of what Data is
• Understanding of how a financial institution works
• Understanding of basic corporate laws
• Ability to communicate in English

The modules shall be as follows:

Module 1 – Leading and Sustaining an Analytics Culture (half day)

• Understanding the The CRoss Industry Standard Process for Data Mining
• Business Understanding
• Data Understanding
• Data Preparation
• Modeling
• Evaluation
• Deployment

Module 2 – Data Governance, Organization, Law Regulations, and Standards (one and a half day)

• Foundations of Data Governance
• Implementations of Data Governance
• Execution
• Personal Data Protection Act
  • Accountability
  • Awareness
  • Creation of policies and practices
  • Defence of PDPA
  • Sustainability
• Practice