BCS Practitioner Certificate in Data Management Essentials Course Overview

Target Audience for BCS Practitioner Certificate in Data Management Essentials

The BCS Practitioner Certificate in Data Management Essentials course is designed for professionals dealing with organizational data management and governance.

• Data Managers and Administrators

• Database Administrators (DBAs)

• Data Architects and Modelers

• IT Managers overseeing data or database teams

• Data Analysts and Scientists

• Data Governance and Quality Officers

• Information Systems Managers

• Business Analysts involved in data-related projects

• Compliance Officers and Auditors focusing on data integrity

• Project Managers for IT projects with a heavy data management component

• Software Developers and System Designers needing an understanding of data management

• Professionals aspiring to move into data-focused roles

• Consultants specializing in data management and related fields

• Data Protection Officers concerned with privacy and compliance

• Anyone involved in the selection and implementation of data management tools and systems

• Professionals working with data warehousing, OLAP, and Data Mining systems

• IT personnel responsible for managing multi-media and internet/intranet-based systems.

Learning Objectives - What you will Learn in this BCS Practitioner Certificate in Data Management Essentials?

Introduction to Learning Outcomes

The BCS Practitioner Certificate in Data Management Essentials course equips participants with comprehensive skills to manage, analyze, and secure data effectively within an organizational context.

Learning Objectives and Outcomes

• Understand the Role and Authority of Data Management: Gain insights into the significance of data management and the impact of a well-defined data charter on organizational data governance.
• Identify Roles and Responsibilities: Learn to distinguish between the various roles and responsibilities within a data management framework, ensuring clarity and efficiency.
• Grasp Data Architecture Concepts: Introduce the fundamental concepts of data architecture and how it aligns with business objectives.
• Utilize Data Management Tools and Techniques: Explore various tools and techniques that are essential for effective data management.
• Implement Data Administration Practices: Understand how to analyze data usage, maintain data integrity, and ensure quality with proper naming conventions.
• Adopt Metadata Principles: Comprehend the principles of metadata to enhance data quality and accessibility.
• Ensure Data Privacy and Security: Learn strategies to protect data privacy, implement security measures, and recover data when necessary.
• Data Modelling and Functional Analysis: Master the differences between project and corporate data modelling and appreciate the role of functional analysis in data management.
• Database Administration Knowledge: Develop skills in physical data design, DBMS selection, and performance tuning to manage databases efficiently.
• Manage Repository Information: Understand the role and security of data dictionaries and repositories, including change control and securing sensitive information.