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Most of the time, big data is a collection of data from lots of little sources. With 7.5 billion people in the world and even more computing devices, there's a lot of data out there to collect.

On the plus side, they're also so large that they offer new opportunities for analysis that were impossible on a small data set. In this lesson, we'll explore where big data comes from and the exciting ways …

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Big data - it's everywhere! Here you'll learn ways to store data in files, spreadsheets, and databases, and learn how statistical software can be used to analyze data for patterns and trends.

Big Data Enter the era of big data. In these lessons, you will learn what defines big data and identify its most common sources.

Explore the future of tech, from Artificial Intelligence and Big Data to the Internet of Things and Blockchain technology.

Describe the difference between reliability of a data source compared to statistical reliability and validity in research analysis. Assess processing source data for reliability based on validity, completeness, …

For example, "The toaster won't toast because the electrical outlet is broken" is a hypothesis, whereas "Electrical appliances need a source of electricity in order to run" is closer to a theory.

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