You’ll start digging into the thrilling world of data, learning the basics of data, its types, and its importance in decision-making. You will also explore how the data bubble is getting bigger and bigger, and have the chance to examine data from a different perspective.

Data basics

Structured vs. unstructured

Quantitative vs. qualitative

Data context

The curious case of data growth

Data storage capabilities

Making the right decisions

The value of data

Data-driven vs. gut feelings

Data-driven decision making

Data Basics

The real advantage of data is to make smart decisions. In this chapter, you will learn about the DIKW framework. Along the way, you will explore the role of data in decision-making with the support of real-world examples and case studies.

Data wisdom

Managing mental models

Data Science Process

DIKW steps

Data in decision making

5 Step Data-Driven Process

The right decision

Being data-driven

Data as a resource

Aggregating information

Data management

Data Wisdom

The last chapter tackles some data topics in more depth. You'll begin with a discussion of data ethics, including data privacy. Next, you'll learn about the data life cycle framework and conclude with how to handle common data mistakes.

Data ethics and privacy

Ethical decisions

Ethics and privacy

Privacy concerns

Data life cycle

The data life cycle

Applying the data life cycle

Ordering the data life cycle

Common data mistakes

Lack of explanation

Spot the mistakes

Wrap-up

Data In-depth

Data is an exciting and growing field that plays a significant role in all our lives, even in artificial intelligence. Whether you're just starting or curious about how data shapes the world around you, this course is your gateway to understanding it all. From exploring the basics of data, including types, structures, and how valuable it can be in decision-making, to learning about the DIKW framework used to describe the relationship between data, information, knowledge, and wisdom, his course will guide you through the essential concepts that shape today's data-driven world. You'll wrap up the course with a discussion on data ethics and common data mistakes. You'll leave with a better understanding of how data works, why it matters, and how to navigate it responsibly—whether in your studies, work, or everyday life.

<h2>Gain an Introduction to Data</h2>
In this course, you'll dive into the exciting and growing world of data and learn how to use it to make smart decisions as it becomes increasingly important to know at least the basics.
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You'll start by exploring the basics of data, including data types and data structures and how valuable data can be in decision-making. You'll also learn about the growing data bubble and how it's changing the world.
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You'll learn about the DIKW framework, which is a framework that describes the relationship between data, information, knowledge, and wisdom. 
<h2>Go Beyond the Data Basics</h2>
The last part of this course will cover some more advanced topics in data. You'll begin with a discussion of data ethics, including data privacy. Next, you'll learn about the data life cycle framework, which describes the steps involved in working with data. Finally, you'll learn about common data mistakes and how to avoid them.
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By the end of this course, you'll have a solid understanding of the concepts and principles of data and how it is used to make smart decisions, as well as some best practices in data handling. The course will be hands-on, with a mix of videos and interactive exercises to help you build practical skills you can apply in your field.
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Introduction to Data is the ideal course for everyone looking to gain a broad understanding of data.


Gain an introduction to data in this hands-on course. Learn the basics of data types and structures, the DIKW framework, data ethics and more.

Introduction to Data | Learn How to Use Data

Introduction to Data

Data Literacy Professional

Data Skills for Business

Create a focused question to uncover information about why customer service tickets are not being properly addressed

Decide that the latest customer service data is the best source of data to find insights

Gather the relevant data and highlight any issues or redudancies within the dataset that need to be addressed

Discover that customers are being contacted multiple times for the same issue, creating multiple tickets that ultimately aren't resolved

Adjust the process for handling client requests and ticketing, and monitor the outcome to ensure it increases customer satisfaction

The right decision

Introduction to Data

Hands-on interactive exercise