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[MUSIC]

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Hi, my name is Megan and
I'm a teacher here at Treehouse.

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My pronouns are she, her, hers.

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In this course,

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I'll be walking you through
an introduction to data analysis.

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Studying data has been around
since the beginning of time.

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Which berries are safe to eat?

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Which route gets you to India the fastest?

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When does a particular bird travel south,
and does it happen every year?

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We've used data to answer
questions both big and small.

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[MUSIC]

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Data Analysis is the practice of
using data to answer questions and

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gather actionable insights.

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You've probably done a bit of data
analysis without realizing you were

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doing it.

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For example,
how much does a good burger cost and

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where can I order one with a low
delivery cost and fast delivery time?

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We all answer questions
like these every week.

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Data analysis plays
an essential role in our world.

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Mom and pop stores are always trying
to compete with big name brands.

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Data analysis can help these
small businesses compete by

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giving them insights they need to reach
their audience and grow their business.

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Tracking weather over time can help
farmers plan their planting and

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harvesting seasons and
choose the best crops for their climates.

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And monitoring data for
a hospital can help the doctors and

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nurses become more efficient while
still providing the best care.

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One question you may have is,

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"What is the difference between
data analysis and data science?"

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When researching this topic,
you will see both phrases, but

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data science is a bit larger picture.

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Data science typically uses data analysis,
along with machine learning and

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AI to find answers and help researchers
find the right questions to ask.

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Let's take a shallow dive into
the world of data analysis.

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Care to join me?