Introduction to Data

Starting at USD 39.00
2 hours duration

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.

Gain a comprehensive introduction to the world of data and its increasing importance in decision-making. This course will provide you with the foundational knowledge of data types, structures, and their value in decision-making. Additionally, you will explore the impact of the growing data bubble on our society. The course will introduce you to the DIKW framework, which elucidates the relationship between data, information, knowledge, and wisdom. This framework will enable you to grasp the significance of data in a broader context. Moving beyond the basics, the course will delve into more advanced topics. You will examine data ethics, including data privacy, and understand the steps involved in the data life cycle framework. Furthermore, you will gain insights into common data mistakes and learn how to avoid them. Upon completion of this course, you will possess a solid understanding of data concepts and principles, empowering you to make informed decisions. Additionally, you will acquire best practices in data handling through a hands-on learning experience, combining videos and interactive exercises. Whether you are a professional seeking to enhance your data literacy or an individual interested in gaining a comprehensive understanding of data, Introduction to Data is the perfect course for you.

About Provider

Online Education Provider ยท 410 courses
DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.
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