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Data Management for Beginners - Main Principles

Name: Data Management for Beginners - Main Principles
Rating: 4.4 (65 reviews)

Learn the main principles of Data Management and how you can transition to a data-driven organization.

Created byArtemakis Artemiou

Last updated 5/2026

English

What you'll learn

What Data Management and Data Governance are
Which are the main Data Management principles and what is their importance
The steps involved towards transitioning to a data-driven Organization
Useful tips on how to create and nurture an efficient Data Management culture within your organization
Define the roles and responsibilities of: Data Owner, Data Steward and Data Custodian
Learn about the principles of Data Policy, Data Quality, Data Security, Data Redundancy and High Availability, Data Compliance and Data Auditing
Additional knowledge on specialized Data Management topics such as Data Security Best Practices

Course content

10 sections • 58 lectures • 2h 34m total length

Welcome to the Course! What Will you Learn?3:02
This is the introduction to the course. We will talk about what you will be learning throughout the course.
What is Data Management?1:31
In this lecture, we will be discussing about Data Management; what it is and how it is used.
Real-World Applications of Data Management (New)2:03
In this lecture, we’ll be exploring real-world scenarios where data management plays a critical role in driving decisions, improving efficiency, and ensuring compliance. By the end of the lecture, you’ll see the tangible value of learning these principles.
Data Management vs. Data Governance1:56
In this lecture, we will be comparing Data Management with Data Governance and we will identify their main similarities and differences.
Section Recap0:41
This lecture, is a recap of what you have learned in this section.
Introduction

Section Overview1:07
This lecture, is an overview of what you will learn in this section.
Data Policy3:30
In this lecture, we will be discussing about what Data Policy is in Data Management.
Data Ownership1:40
In this lecture, we will be discussing about what Data Ownership is in Data Management.
Data Stewardship1:28
In this lecture, we will be discussing about what Data Stewardship is in Data Management.
Data Custodianship1:28
In this lecture, we will be discussing about what Data Custodianship is in Data Management.
Data Documentation and Metadata2:16
In this lecture, we will be discussing about what Data Documentation and Metadata are in Data Management.
Data Quality6:13
In this lecture, we will be discussing about what Data Quality is in Data Management.
Data Security4:12
In this lecture, we will be discussing about what Data Security is in Data Management.
Data Redundancy and High Availability3:21
In this lecture, we will be discussing about what Data Redundancy and High Availability are in Data Management.
Data Compliance1:55
In this lecture, we will be discussing about what Data Compliance is in Data Management.
Data Auditing2:23
In this lecture, we will be discussing about what Data Auditing is in Data Management.
Section Recap1:04
This lecture, is a recap of what you have learned in this section.
Data Management Principles

Section Overview0:35
This lecture, is an overview of what you will learn in this section.
The Importance of the Human Factor in Data Management2:21
In this lecture, we will be discussing about the importance of the human factor in Data Management.
How to Establish an Effective Data Management Culture1:30
In this lecture, we will be discussing about, how you can establish an effective Data Management culture within your organization.
How to Promote Data-Driven Decision Making in Teams3:30
In this lecture, we'll explore practical ways to help your team embrace data as a core part of their thinking. You'll learn how to lead by example, build the right habits, and create a culture where decisions are guided by facts, not just opinions.
Section Recap0:46
This lecture, is a recap of what you have learned in this section.
The Human Factor in Data Management

Section Overview1:10
This lecture, is an overview of what you will learn in this section.
Benefits of Becoming Data-Driven2:48
In this lecture, we will be discussing in more detail, about the benefits of becoming a data-driven organization.
Set the Long-Term Objectives2:38
In this lecture, we will be discussing about the first step towards becoming data-driven, that is, setting the long-term objectives.
Cultivate the Proper Team of Data Leaders3:08
In this lecture, we will be discussing about the second step towards becoming data-driven, that is, cultivating the proper team of Data Leaders.
Involve People in Each Step of the Transition Process2:33
In this lecture, we will be discussing about the third step towards becoming data-driven, that is, involving people in each step of the process.
Integrate Data from all Sources - Big Data Integration2:51
In this lecture, we will be discussing about the fourth step towards becoming data-driven, that is, integrating data from all sources, which is a process that is also known as “Big Data Integration”.
Adopt Technology for Success2:34
In this lecture, we will be discussing about the fifth step towards becoming data-driven, that is, adopting technology for success.
Set and Monitor the Necessary Key Performance Indicators (KPIs)4:34
In this lecture, we will be discussing about the sixth step towards becoming data-driven, that is, setting and monitoring the necessary KPIs.
Section Recap1:34
This lecture, is a recap of what you have learned in this section.
The Transition Journey to Becoming a Data-Driven Organization

Overview0:51
This lecture, is an overview of what you will learn in this additional module.
What are Relational Database Management Systems?2:09
In this lecture, you will learn what Relational Database Management Systems (RDBMSs) are.
Databases, Tables and Other Objects in RDBMSs2:00
In this lecture, you will learn useful basic database principles, such as tables, views, etc.
Real-World Use Cases of RDBMs2:01
Learn about practical applications of RDBMS in industries like e-commerce and finance.
Basic Querying Concepts3:10
In this lecture, we’ll be covering essential querying concepts, focusing on relational databases and SQL.
Section Recap1:19
This lecture, is a recap of what you have learned in this section.
Relational Database Management Systems

Section Overview1:42
This lecture, is an overview of what you will be learning in this additional module.
Data Security Best Practices6:32
In this lecture, we will be discussing about some of the main Data Security best practices.
Defense in Depth7:57
In this lecture, we will be discussing about Defense in Depth, in terms of what it is and what steps it involves, towards securing your data.
Static Code Analysis4:00
In this lecture, we will be discussing about Static Code Analysis and how it contributes towards a more secure data environment.
Database Row-Level Security6:29
In this lecture, you will learn about Database Row Level Security, and more specifically, we will be discussing about Row-Level Security in SQL Server.
Access Control in Data Management (Updated)2:55
In this lecture, you’ll learn how organizations decide who gets access to data, under what conditions, and why this is one of the most critical elements of keeping data safe.
Data Security vs. Data Privacy1:48
In this lecture, we will be comparing Data Security with Data Privacy and identify their similarities, as well as, their differences.
Section Recap1:17
This lecture, is a recap of what you have learned in this section.
Advanced Data Security Topics

Section Overview0:27
This lecture, is an overview of what this section is all about.
Data Management vs. Master Data Management1:44
In this special topic, we will be comparing Data Management with Master Data Management.
Differences Between Batch and Streaming Data3:00
In this special topic, we will be discussing about the differences between Batch and Streaming Data.
What are Non-Relational Databases?4:28
In this special topic, we will be discussing about what Non-Relational Databases are, which are also known as NoSQL Databases.
What is Data Science?2:04
In this special topic, we will be discussing about what Data Science is.
Introduction to Data Ethics3:48
In this lecture, we will explore the fundamental principles of data ethics, including data privacy, consent, and ethical data usage. Understanding these concepts is crucial for building trust and ensuring responsible data management practices.
Data Visualization Techniques and Tools1:18
In this lecture, we'll be discussing about data visualization techniques and tools.
The Role of AI in Modern Data Management3:23
In this special topic, we’ll dive into how AI is reshaping data management, explore the benefits it brings, and look at some real-life examples of how it’s changing the way we work with data.
The Future of Data Management: AI, Automation & Career Implications1:46
In this forward-looking lecture, we discuss how artificial intelligence and automation are reshaping the world of data management—and what it means for your career.
Special Topics

Requirements

This course has no requirements and it is suitable for all levels

Description

People and data are the two most important assets in any organization. By properly maintaining accurate and secure data, along with inspiring people within the organization to realize the value of data, the organization can reach to data-driven decisions more easily and thus meet its strategic goals in a more efficient manner.

Data Management, provides the set of principles and guidelines for reaching the above goals, as it sets the framework for properly managing data during its full lifecycle.

This course can help you with this journey, that is to help you learn which are the main Data Management principles and what is their importance, along with learning useful tips for creating and nurturing a Data Management culture within the organization. Moreover, via this course, you will learn more about the transition process towards becoming a data-driven organization.

WHAT OTHER STUDENTS SAY ABOUT THE COURSE:

"Really helped before starting my new job"
"Very good and informative overview of this very large topic."
"Excellent Course !!! This course helped me to further develop my skills in Data Management world !!"
"Very useful course. I like the way the instructor explains all aspects of data management in simple words."

WHAT IS THIS COURSE ALL ABOUT?

This course has been carefully designed, in order to help you learn the main principles of Data Management and Data Governance, in a structured, step by step manner. To this end, we will begin the course with some introductory concepts, such as, what Data Management and Data Governance are.

We will then proceed to the main section of the course, via which, you will learn what are the main Data Management Principles, as well as what are their main characteristics. After that, we will be discussing about, how you can create and nurture a Data Management culture within the organization.

Next, in the section that follows, we will discuss about the benefits of becoming data-driven, as well as, we will discuss about the different steps involved in the transition journey, towards becoming a data-driven organization.

Last but not least, the course has been enriched with two additional modules, via which you can learn more about Relational Database Management Systems (RDBMSs) and advanced Data Security topics.

Besides the lectures, the course also features many useful quizzes, infographics and a major practice test in the end of the course, all of which will help you understand the main Data Management concepts and set of practices.

So join me into a journey of exploring the world of Data Management!

AFTER THE COURSE:

You will know what Data Management and Data Governance are
You will know which are the main Data Management principles and what is their importance
You will know useful tips on how to create and nurture an efficient Data Management culture within your organization
You will know more about the transition process, towards becoming a data-driven organization
You will have acquired additional knowledge on specialized Data Management topics, such as Relational Database Management Systems, Data Security Best Practices and other advanced Data Security topics.

PREREQUISITES:

This course has no requirements and it is suitable for all levels

THIS COURSE CONTAINS/OFFERS:

2+ hours of high-quality video lectures
Downloadable resources with section recaps and infographics
Quizzes in the end of each section
A major practice test in the end of the course
Ability to ask the instructor questions via the Q&A section
Certificate on course completion

Who this course is for:

Data Governance Analysts and Managers
Data Professionals such as: Data Analysts, Data Architects and Database Administrators
IT Managers
Information Security Analysts

Data Management for Beginners - Main Principles

What you'll learn

Explore related topics

Course content

Introduction (Updated)5 lectures • 9min

Data Management Principles12 lectures • 31min

The Human Factor in Data Management5 lectures • 9min

The Transition Journey to Becoming a Data-Driven Organization9 lectures • 24min

Additional Module: Relational Database Management Systems (Updated)6 lectures • 12min

Additional Module: Advanced Data Security Topics (Updated)8 lectures • 33min

AI and Modern Data Management (New)2 lectures • 5min

Special Topics (Updated)9 lectures • 22min

Putting it All Together1 lecture • 2min

Learning More1 lecture • 8min

Requirements

Description

Who this course is for: