Mastering Data Management: From Basics to Business Insights

Your Gateway to Data Management

Fundamentals of Data Management – Course Overview

What you’ll learn

  • Foundational structures of data (characters, fields, records, files/databases)..
  • Concepts of data vs information and processes to create meaningful, relevant outcomes.
  • Introduction to flowcharts and how to use and apply flowcharts to solve both easy and complex problems.
  • General aspects of business and I.T. integration as well as essentials of data/information management.
  • Understanding Data Mining, Data Normalisation, Data Storage, and Data flows.

Course Content

  • Introduction –> 1 lecture • 3min.
  • Unit 1 –> 1 lecture • 19min.
  • The IPO Model – Input, Process and Output –> 1 lecture • 8min.
  • Data management and flowcharts –> 1 lecture • 35min.
  • Key areas of Data Management –> 1 lecture • 10min.

Mastering Data Management: From Basics to Business Insights

Requirements

Fundamentals of Data Management – Course Overview

This course is designed for students around the world who want to build a solid foundation in data management. Whether you’re studying business, IT, or are simply curious about how data works, this beginner-friendly course introduces the key concepts in a clear, practical, and easy-to-understand way. No prior experience is needed—just a willingness to learn.

You’ll begin by exploring the basic components of data: characters, fields, records, and files. From there, you’ll be introduced to common system models such as Input-Process-Output (IPO) and flowcharts, which help you understand how data moves and is processed within systems. You’ll also learn how to structure and store data properly using techniques like normalisation, ensuring data is clean, organised, and easy to access.

In the final part of the course, you’ll gain a basic understanding of data mining and how data flows through various systems to support better decision-making.

What You’ll Learn:

  • Data components: characters, fields, records, and files
  • System models: IPO and flowcharts
  • Organising data: normalisation and storage
  • Introduction to data mining and data flow

Course Features:

  • Four units, each ending with a quiz
  • Visual explanations with slides and diagrams
  • Practice and apply your own case studies
  • Great for all backgrounds—no experience required

By the end, you’ll confidently understand how data is structured, analysed, and used.

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