[NP-CTDG-FSAS] (SCTP) Data Governance (Classroom, Synchronous & Asynchronous e-learning) (Full-Time) (TA-eligible)

This 3-day module is designed to empower Data Governance Specialists and Data Engineers by integrating Business Continuity Management (BCM) and Crisis Management principles into their roles. Participants will focus on safeguarding data integrity, ensuring compliance, and developing crisis response plans.

Data Engineering and Migration is a comprehensive course designed to equip learners with the essential skills and knowledge required to build data solutions for seamless transition. Whether you are a seasoned data professional or a beginner, this course will help you gain practical experience in designing and implementing data solutions that can transform your organization's data landscape.

The course will begin by providing an overview of data engineering fundamentals, including data modeling, data warehousing, and data pipeline design. We will examine various tools, technologies, and frameworks used in data engineering and explore how they contribute to building scalable, efficient, and reliable data solutions.

Next, we will delve into data migration strategies and best practices, including migrating data from legacy systems to modern ones. We will discuss common data migration challenges, such as data quality, consistency, and completeness and demonstrate how to address these challenges.

Throughout the course, we will emphasize hands-on exercises and real-world use cases to demonstrate the practical applications of the concepts discussed. We will cover topics such as ETL (Extract, Transform, Load), data integration, and data cleansing, using popular tools such as Apache Spark, AWS Glue, and Google Cloud Dataflow.

The capstone project aims to create and implement a data governance framework to ensure data quality, security, compliance and accessibility within an organization. As data grows in complexity, the absence of proper governance can lead to issues like data breaches and poor decision making. The project involved assessing current data practice, developing a tailored framework, selecting appropriate tools, and training staff. The implemented framework should improve data management, security and compliance, providing a structured approach that aligns with industry standards.

Data is becoming the core corporate asset that will determine the success of your financial institute. Digital transformation is on the agenda everywhere. You can only exploit your data for a successful digital transformation if you are able to govern your data. It is therefore imperative to adopt an appropriate data governance framework and deploy the most suitable technology that meets your business objectives and business models. Many finance organizations, regardless of size and industry, are not sure about the level of risk associated with how they acquired data, or where and how they’ve stored, shared and made use of data.

Data governance is a fundamental part of security. It ensures that data is safe and locked down but continues to be accessible across the organization in a controlled manner. Data governance and information security are key foundations for an enterprise cybersecurity strategy.

Participants will learn many human-centered design methods, using real-world scenarios for hands-on learning of each method’s activities and techniques to help you and your team identify the right problems to solve and design solutions that people want and need.

The ISO 31000 standard forms the backbone of an enterprise risk management framework, emphasizing a holistic approach to managing risks across the entire organization. This standard ensures due consideration for overall enterprise objectives, acting as a common language and strategy hub for existing risk management efforts. The goal of enterprise risk management is to both decrease the likelihood of risks occurring and minimize their impact on the organization. It serves as a coordinated activity to guide and control the organization with regard to risk, incorporating a crucial upstream element known as risk sensing.

Despite the significance of risk sensing in anticipating risks and opportunities, many organizations lack structured frameworks for meaningful anticipation. A Risk Sensing capability is highlighted as critical for Strategic Planning and Enterprise Risk Management, urging organizations to adopt more anticipatory processes. This approach challenges leaders to think creatively, fostering a deeper understanding of the interconnections between factors and enhancing institutional resilience through scenario planning.

Organizations have never had a greater need for reliable assurance over the technological capabilities that fuelled and continue to fuel their digital transformation. Information technology professionals play vital roles in leveraging the value and assuring the security and integrity of the massive volumes of information that drive business.

This 3-day module offers a comprehensive exploration of IT auditing, addressing the escalating need for reliable assurance in organizations undergoing digital transformation. Aimed at aspiring data support engineers in the ICT sector, the course covers fundamental IT audit concepts, including IT governance, regulatory compliance, general controls, application controls, and end-user computing.

In the dynamic landscape of the ICT sector, data support engineers are increasingly called upon to contribute strategically to organizational success. This intensive 2-day module, titled ""Strategic IT Governance and Business Value Management: A Blueprint for Data Support Engineers,"" is designed to empower participants with the essential knowledge and skills needed to craft and align IT strategies with overarching business objectives.

The course delves into the core principles of IT strategy, emphasizing strategic planning frameworks, business-IT alignment, and effective governance. With a specific focus on maximizing business value through IT investments, participants will explore key topics such as investment planning, ROI calculation, and the integration of emerging technologies and innovation.

In today's digital age, organizations face an increasing number of cyber and data incidents, ranging from data breaches to network intrusions. It is crucial for organizations to be well-prepared to effectively respond to these incidents and minimize their impact. This comprehensive course on cyber and data incident response provides participants with the knowledge and skills necessary to handle and mitigate cyber and data incidents.

In today's rapidly evolving data landscape, professionals in Data Engineering, Data Governance, and Data Security roles face increasing demands for efficiency, quality, and security. This 4-day intensive Lean Six Sigma Green Belt certification module, aligned with APMG International® standards, is meticulously designed to equip these specialists with the skills to drive process improvement and optimization. Participants will delve into Lean methodologies and Six Sigma tools, learning how to identify and eliminate inefficiencies, enhance data quality, and ensure robust data governance and security. The course also emphasizes the integration of AI technologies, providing insights into leveraging AI for advanced data analysis and decision-making while maintaining ethical standards and compliance.

This module involves the planning, organizing, and overseeing of tasks and resources to achieve specific goals within a defined timeline. It is designed for individuals seeking to enhance their project management skills and knowledge, whether they are new to the field or looking to formalize their experience. The course covers the entire project lifecycle, from initiation and planning to execution, monitoring, and closure. It includes identifying project objectives, setting timelines, allocating resources, and managing a team to ensure successful project completion. Key elements include defining the project scope, creating a detailed project plan, monitoring progress, mitigating risks, and adapting to changes. Effective communication, leadership, and problem-solving skills are essential for managing stakeholder expectations and delivering results that meet or exceed the project’s goals.

This 3-day module is designed to empower data support engineers in the ICT sector by providing a comprehensive understanding of technology governance and risk management principles. Participants will learn to align technology with business objectives, navigate regulatory frameworks, and implement effective risk mitigation strategies. The course covers topics such as technology governance importance, industry best practices, risk management frameworks, technology risk assessment, compliance considerations, and practical implementation strategies.

This 3-day module, "Strategy Implementation: Optimizing Business Strategies for Risk Mitigation and Implementation," is designed to equip participants with the knowledge and skills necessary to effectively translate strategic plans into actionable initiatives. With a specific focus on risk mitigation and resource allocation, the course will explore key principles, strategies, and practical approaches to ensure successful implementation in the dynamic ICT landscape.