Data Management Masterclass - The Complete Course from Udemy

What's inside

Learning objectives

What is data management from a to z
All the different data management subject areas

Best practices on data management from the industry
How to implement data management practices within your organization

What is data management from a to z
All the different data management subject areas
Best practices on data management from the industry
How to implement data management practices within your organization

Syllabus

Introduction

How to get the most out of this course

Module 1 - The Basics

What is Data Management

Data Management Subject Areas

[QUIZ] Data Management Basics

Module 2 - Data Ethics

Intro to Data Ethics

Case Study - Example of impact of poor data ethics

Goals of Data Ethics

Risk of Unethical Data Handling

Example of how people can try to manipulate data - part 1

Example of how people can try to manipulate data - part 2

Example of how people can try to manipulate data - part 3

Example of how people can try to manipulate data - part 4

EXERCISE - Avoiding the chart game

SOLUTION - Avoiding the chart game

Intro to common types of data bias

Confirmation Bias

Outliers Bias

Selection Bias

Rush-to-Solve Bias

Availability Bias

Anchor Bias

6 Key Data Ethics Activities

Deliverables of Data Ethics

Establishing Ethical Data Culture

Test your Data Ethics knowledge with 5 questions

Module 3 - Data Governance

What is Data Governance

Why is Data Governance Important?

Examples of what can go wrong without Data Governance

Data Governance Core Principles

Data Governance Roles and Responsibilities

Data Governance Scorecard (template included for download)

Measuring the Data Governance Framework

Measuring the effectiveness of Data Stewardship

Measuring Data Security and Privacy

Measuring Data Catalog and Metadata Management

Measuring Data Quality

Measuring Communication and Training

Measuring Data Governance metrics and reporting

Measuring Data Issue Resolution

Measuring Data Governance tools and technology

Measuring Data Governance audit and compliance

Measuring the financial impact

[QUIZ] Data Governance

Module 4 - Data Architecture

What is Data Architecture

Data Architecure Example

Data Architecture Principles

Data Architecture main components

Data Architecture Frameworks

Data Architecture Best Practices

Data Architecture Roles

[QUIZ] Data Architecture

Module 5 - Data Modeling and Design

What is Data Modeling

Difference between Data Architecture and Data Modeling

The 3 Levels of Data Models

Conceptual Data Model

Logical Data Model

Physical Data Model

Data Modeling Process

Benefits of Data Modeling

Data Modeling Tools

[QUIZ] Data Modeling

Module 6 - Data Storage and Operations

What is data storage and operations

Why is data storage management important

What daily storage management actually involves

The 4 key attributes of Data Storage Management

Best Practices to keep in mind

[QUIZ] Data Storage and Operations

Module 7 - Data Security

What is Data Security

Why is Data Security important

The Goals of Data Security

The Principles of Data Security

Types of Data Security

Data Security Risks Intro

Accidental Data Exposure

Phishing

Malware

Insider Threats

Password Attack

Denial-of-Service

Man-in-the-Middle (MITM)

SQL Injections

Zero-day Exploit

Data Security Activities intro

Identify Data Security Requirements

Define Data Security Policies

Define Data Security Standards

Best Practices for better Data Security

[QUIZ] Data Security

Module 8 - Data Integration and Interoperability

What is Data Integration

Example of Data Integration

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Prepares learners for the Certified Data Management Professional (CDMP) exam, which can help them advance their careers in data management and data governance

Covers every Data Management subject area in a separate section, making it easy for absolute beginners to get started with the fundamentals and core concepts

Uses hands-on, contextual examples designed to showcase why Data Management is important and how to use Data Management principles to manage data effectively

Includes a module on data ethics, covering topics such as common types of data bias, ethical data culture, and key data ethics activities, which are increasingly important

Provides a Data Governance Scorecard template for download, which can be used to measure and improve the effectiveness of data governance initiatives and data stewardship

Offers lifetime access to the course and up-to-date video lectures, which allows learners to revisit the material and stay current with industry best practices

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Data Management Masterclass - The Complete Course with these activities:

Review Database Concepts

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Reviewing database concepts will provide a solid foundation for understanding data storage, modeling, and architecture principles covered in the course.

Browse courses on Relational Databases

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Review the different types of databases.
Study the principles of database design.
Practice SQL queries.

Review 'Data Governance: How to Design, Deploy and Sustain a Successful Data Governance Program'

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Reading this book will provide a deeper understanding of data governance principles and best practices.

View Data Governance: How to Design, Deploy, and... on Amazon

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Read the book, taking notes on key concepts.
Summarize the main points of each chapter.
Relate the concepts to your own organization or experiences.

Practice Data Modeling Exercises

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Practicing data modeling exercises will reinforce your understanding of data modeling techniques and best practices.

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Find data modeling exercises online.
Create conceptual, logical, and physical data models.
Review your models with a peer or mentor.

Four other activities

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Show all seven activities

Create a Presentation on Data Ethics

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Creating a presentation on data ethics will help you solidify your understanding of the ethical considerations in data management.

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Research different data ethics frameworks.
Identify potential ethical issues in data management.
Develop a presentation outlining the key ethical considerations.
Present your findings to a group of peers.

Design a Data Governance Framework

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Designing a data governance framework will allow you to apply the principles learned in the course to a practical scenario.

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Identify the key stakeholders in your organization.
Define the data governance principles and policies.
Outline the roles and responsibilities for data governance.
Create a plan for implementing the framework.

Review 'DAMA-DMBOK: Data Management Body of Knowledge'

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Studying the DAMA-DMBOK will provide a comprehensive understanding of data management principles and practices.

View DAMA-DMBOK: Data Management Body of Knowledge:... on Amazon

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Read the DAMA-DMBOK, focusing on areas of interest.
Take notes on key concepts and best practices.
Relate the concepts to your own organization or experiences.

Develop a Data Quality Dashboard

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Developing a data quality dashboard will allow you to apply your knowledge of data quality metrics and visualization techniques.

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Identify key data quality metrics for your organization.
Choose a data visualization tool.
Design and build the data quality dashboard.
Present the dashboard to stakeholders.

Career center

Learners who complete Data Management Masterclass - The Complete Course will develop knowledge and skills that may be useful to these careers:

Data Governance Analyst

A Data Governance Analyst develops and implements data governance policies, ensuring data integrity, security, and compliance within an organization. This role involves defining data standards, managing data quality, and establishing data access controls. This course, with its specific modules on Data Governance, will help build an understanding of core principles, roles, and effective measurement techniques. The course also offers practical insights into developing data governance scorecards and managing data stewardship, which will be directly applicable in the daily activities of a data governance analyst. Understanding the content of this course may be particularly useful due to the course's focus on measuring and quantifying the effectiveness of data governance efforts.

See salaries and explore the career path for Data Governance Analyst

Data Architect

A Data Architect designs and oversees the structure of an organization's data systems, ensuring that data is stored, organized, and accessed efficiently and securely. This involves creating blueprints for databases, data warehouses, and other data storage solutions, as well as defining data flows and integration strategies. The specific focus on Data Architecture principles, frameworks, and best practices within this course will allow a future data architect to understand the key components of data architecture and build a foundation for designing effective data storage solutions. The course helps one understand the various components and best practices that are essential for success in this role. The course material will be particularly useful in the design and implementation of data projects.

See salaries and explore the career path for Data Architect

Data Modeler

A Data Modeler creates visual representations of data and its relationships to support the design of databases and data systems. This role requires a deep grasp of conceptual, logical, and physical data models, as well as an understanding of data modeling tools and techniques. This course will help a Data Modeler by thoroughly covering the different levels of data models, the data modeling processes, and their benefits. The course provides a deep understanding of the various types of data models, which helps a Data Modeler in the design and representation of databases. The course, which also addresses the difference between data architecture and data modeling, is a great starting place for those interested in a career as a Data Modeler.

See salaries and explore the career path for Data Modeler

Data Security Analyst

A Data Security Analyst is responsible for protecting an organization's data from unauthorized access, use, or disclosure. This role involves identifying data security risks, implementing security policies and standards, and monitoring data security controls. A course like this one helps a Data Security Analyst understand the core principles of data security, including risk identification and mitigation strategies. The course’s extensive coverage of specific security risks, such as phishing and malware, will allow the Data Security Analyst to better evaluate and address threats. The discussions on developing data security policies will be very useful to someone in this role.

See salaries and explore the career path for Data Security Analyst

Data Quality Analyst

A Data Quality Analyst focuses on ensuring that an organization's data is accurate, complete, consistent, and reliable. This involves implementing data quality standards, monitoring data quality metrics, and resolving data quality issues. This course may be particularly useful for a Data Quality Analyst due to its focus on Data Management, which includes data quality as a key subject area. The course content helps develop an understanding of essential techniques for managing data quality and provides a foundation for implementing these techniques within an organization. The course’s breadth of coverage, including the subject of Data Quality, may also allow Data Quality Analysts to better understand how their role fits into the larger context of data management.

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Data Integration Specialist

A Data Integration Specialist designs, develops, and implements solutions that enable disparate data sources to communicate and exchange information. This role involves understanding data formats, mapping data elements, and ensuring data consistency across various systems. The coverage of data integration within this course allows a Data Integration Specialist to build a foundation in the core concepts of integration processes. This course, providing both a high level view and detailed information on Data Integration, will also help the specialist understand how their work fits into the bigger picture of data management. This course may provide a background which a data integration specialist can use as a launching pad.

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Metadata Analyst

A Metadata Analyst is responsible for managing and maintaining metadata, which is data that describes other data. This role involves cataloging data assets, defining metadata standards, and ensuring that metadata is accurate and accessible. While the course does not go into great detail on this exact role, it does cover the subject of metadata management, which is crucial for a Metadata Analyst. This course may provide value to a Metadata Analyst by helping them better understand how the work that they do as a Metadata Analyst fits into the broader field of data management. The course’s focus on how data management practices can be implemented in the real world may also be valuable.

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Data Analyst

A Data Analyst collects, processes, and analyzes data to identify trends, patterns, and insights that can inform business decisions. While this role often focuses on using data for reporting, this course’s focus on data management principles will provide a Data Analyst with a deeper understanding of how data is organized and governed. The course helps one understand how data is stored, retrieved, and secured, which helps a Data Analyst be more effective in their analysis. The insights provided will help the Data Analyst in understanding the underlying data used in their reports and analysis. This course may be useful for a Data Analyst.

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Database Administrator

A Database Administrator is responsible for the performance, integrity, and security of an organization's databases. This role includes tasks such as database design, implementation, maintenance, and troubleshooting. This course may be helpful for a Database Administrator as it provides a foundation in several key areas of data management, including data modeling, data architecture, and data storage. The understanding of these areas may help a Database Administrator in their daily duties to ensure data is properly managed. The course’s breadth of subjects may be particularly useful to someone who is hoping to understand the larger data landscape.

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Business Intelligence Analyst

A Business Intelligence Analyst uses data to create reports, dashboards, and visualizations that help business stakeholders understand performance and make informed decisions. While this role may not directly focus on the data management, this course may help the analyst better understand how data is governed and managed as well as its various components. The course may be helpful in understanding how their role interacts with the broader data landscape. This course may help a Business Intelligence Analyst better understand the data that they are working with.

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Information Manager

An Information Manager is responsible for the efficient and effective management of an organization's information assets. This role involves developing and implementing information management policies, standards, and procedures. This course may be useful for an Information Manager because it covers several topics relating to data management, including data governance, data architecture, and data security. The course may help the Information Manager in overseeing the management of data within their information management role. The course may be useful for someone who is new to the field.

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Records Manager

A Records Manager oversees the creation, maintenance, storage, and disposal of an organization's records. This role is important for ensuring compliance with legal and regulatory requirements. Although this course does not directly address Records Management, the material may be helpful because it offers a broad overview of data governance and data management principles. This course may provide insight on how data is organized, secured, and managed, which may help a Records Manager in their role. This course may be particularly helpful for a Records Manager who wants to gain a better understanding of the data landscape.

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Compliance Officer

A Compliance Officer ensures that an organization adheres to laws, regulations, and internal policies. While this course focuses on the technical aspects of data management, the coverage of data governance and data ethics may be relevant to a Compliance Officer. The course content may provide a better understanding of how to establish ethical guidelines for data handling. The discussions on data security issues, such as accidental data exposure, may also be very helpful. This course may be useful for a Compliance Officer in that it may provide them with supplemental information.

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Project Manager

A Project Manager plans, executes, and closes projects, ensuring they are completed on time, within budget, and according to specifications. Though this course is focused on data management principles, the knowledge may be useful when managing data-related projects. The course may help a project manager better understand the underlying data infrastructure and how to effectively manage data within projects. The broad view of data management offered by this course may be useful for a Project Manager when they take on a project that has some relation to data management. This course may be useful for Project Managers.

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Business Analyst

A Business Analyst identifies business needs, elicits requirements, and proposes solutions that can improve an organization's operations. Although this course is not directly related to the core functions of a Business Analyst, the understanding of how data is managed and governed may be helpful in their work. Understanding data architecture, modeling, and security may allow a Business Analyst to better understand data needs. This course may be helpful for a Business Analyst who is taking on projects related to data management.

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Data Management Masterclass - The Complete Course

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Syllabus

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Activities

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