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- Data science, it powers so much of modern life,

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the internet, social media, artificial intelligence.

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But also on a personal level, the statistics

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from your Fitbit or the next song recommended by Pandora.

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And, truly, data science is driving a personal

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and social evolution.

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We're constantly learning and getting better

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and accomplishing monumental goals.

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However, do you feel like you're missing the boat?

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Maybe you're watching all these advances,

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but you don't really know how to get in the game.

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And you wonder, "What goes on under the hood?

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"How does someone one do data science?"

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You don't know where to start.

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Do not worry, this is where I can help.

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My name is Michele Vallisneri,

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and I'm a research scientist at NASA.

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I use data science concepts and tools every day

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to analyze astronomy datasets,

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and my tool of choice is Python.

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It's an expressive and pragmatic computer language

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that has its own spirit and style.

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And it's supported by a diverse and helpful user community.

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My goal with this course is to get you started

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with data science, and more specifically, data analysis

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with Python, in a friendly and approachable way.

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It's not all encompassing.

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I don't recommend applying for a PhD program

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right after this course, but it will get you started,

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and I really hope inspired.

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That's what matters, and that's what you need,

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a jumping off point.

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I will take you through the foundations

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of doing data analysis with Python.

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We will look at the most important programming constructs,

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data structures, and third party packages.

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With this, you will be able to complete

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simple data analysis tasks, and you will be ready

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to move on to more advanced topics.

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I like to teach by example rather than in the abstract,

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so throughout this course, we will write

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and execute practical code and analyze real-world data.

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So let's enter the friendly but exciting world

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of Python data analysis.