课程: Complete Guide to AI and Data Science for SQL: From Beginner to Advanced

Data or information: What's the difference? - SQL教程

课程: Complete Guide to AI and Data Science for SQL: From Beginner to Advanced

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Data or information: What's the difference?

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- [Instructor] Now that you've taken a look at what data science consists of, you are about to dive deeper. In this video, you'll explore the concepts of data and information and how they hold the keys to uncovering valuable insights. Let's get started. Think of data as traces or marks that events, both natural and human made, leave behind. These traces can exist in the physical world, like footprints in the sand, or in digital form, like numbers on a computer. Data is like a raw material that holds important information, but sometimes it can also include some unnecessary noise, kind of like finding a few pebbles among those footprints in the sand. Data is all around you, often hiding in plain sight. For example, think of the ticket sales records for your favorite band's last tour, or the weather forecast on your phone. It's generated from years of weather data. Or what about your social media posts, which are a collection of data about your interest and activities? Data is everywhere you look. It's like a treasure trove of insights waiting to be discovered. Picture data as a puzzle, and information is the completed masterpiece. When we process data, give it meaning and remove noise, we create valuable information. From analyzing sales reports to presenting survey data to management, that's where data shines as valuable information. To sum it up, data is like raw, unprocessed records, while information is the process data that has been carefully interpreted and made sense of. Up next, you'll explore the rise of data and its significant role in shaping our world today.

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