Data Literacy in Practice

Data Literacy in Practice

Data Literacy in Practice This course is part of Data Literacy: Exploring and Visualizing Data Specialization Taught in English Instructor: Emily Pressman Enroll for Free Starts Apr 2 Financial aid available Included with • Learn more Course Gain insight into a topic and learn the fundamentals Beginner level Recommended experience Close Recommended experience Beginner level

Description

Data literacy is an essential skill in today’s digital age. With the vast amount of data available to us, being able to understand, interpret, and analyze that data is crucial in making informed decisions. However, data literacy is not just about being able to read graphs or interpret numbers – it is about being able to think critically about the data and draw meaningful insights from it.

In practice, data literacy involves several key components. Firstly, it is important to be able to identify the right data sources. With so much information available online, being able to determine which sources are reliable and trustworthy is essential. This involves understanding where the data comes from, how it was collected, and whether it is relevant to the question being asked.

Secondly, data literacy involves being able to clean and manipulate the data. Oft

Data Literacy in Practice

This course is part of Data Literacy: Exploring and Visualizing Data Specialization

Taught in English

Emily Pressman

Instructor: Emily Pressman

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

Beginner level

Recommended experience

1 hour (approximately)
Flexible schedule
Learn at your own pace

Skills you’ll gain

Details to know

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Recently updated!

January 2024

Assessments

1 quiz

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