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18 lines
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18 lines
1.0 KiB
# Introduction to Data Science
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![data in action](images/data.jpg)
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> Photo by <a href="https://unsplash.com/@dawson2406?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Stephen Dawson</a> on <a href="https://unsplash.com/s/photos/data?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Unsplash</a>
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In these lessons, you will discover how Data Science is defined and learn about ethical considerations that must be considered by a data scientist. You will also learn how data is defined and learn a bit about statistics and probability, the core academic domains of Data Science.
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### Topics
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1. [Defining Data Science](01-defining-data-science/README.md)
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2. [Data Science Ethics](02-ethics/README.md)
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3. [Defining Data](03-defining-data/README.md)
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4. [Introduction to Statistics and Probability](04-stats-and-probability/README.md)
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### Credits
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These lessons were written with ❤️ by [Nitya Narasimhan](https://twitter.com/nitya) and [Dmitry Soshnikov](https://twitter.com/shwars).
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