Introduction to 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.
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Course Description
Gain an Introduction to Data
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.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.
You'll learn about the DIKW framework, which is a framework that describes the relationship between data, information, knowledge, and wisdom.
Go Beyond the Data Basics
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.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.
Introduction to Data is the ideal course for everyone looking to gain a broad understanding of data.
Training 2 or more people?
Get your team access to the full DataCamp platform, including all the features.In the following Tracks
Data Skills for Business
Go To Track- 1
Data Basics
FreeYou’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.
- 2
Data Wisdom
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.
- 3
Data In-depth
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.
Training 2 or more people?
Get your team access to the full DataCamp platform, including all the features.In the following Tracks
Data Skills for Business
Go To Trackcollaborators
Maarten Van den BroeckSenior Content Developer at DataCamp
Maarten is an aquatic ecologist and teacher by training and a data scientist by profession. He is also a certified Power BI and Tableau data analyst. After his career as a PhD researcher at KU Leuven, he wished that he had discovered DataCamp sooner. He loves to combine education and data science to develop DataCamp courses. In his spare time, he runs a symphonic orchestra.
Joe FranklinHead of Business Insights Curriculum at DataCamp
Joe received a Master of Science in Predictive Analytics from Northwestern University that he paired with a passion for education to become a stand-out expert in the field of Data Literacy. He is passionate about unlocking the data potential within everyone to succeed in the evolving digital world.
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