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README.md

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@@ -34,7 +34,7 @@ This is a brief video demonstrating the first module: https://www.youtube.com/wa
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I have prepared an overview of 20 lessons, each requiring two to three weeks to learn, which would comprise the complete course.
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1. **Module 1**:
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- *Lesson 1*: Introduction to data as a science ([link](https://github.com/whythawk/data-as-a-science/blob/master/Module%201%2C%20Lesson%201%20-%20Introduction%20to%20data%20as%20a%20science.ipynb))
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- *Lesson 1*: Introduction to data as a science ([view](https://nbviewer.jupyter.org/github/whythawk/data-as-a-science/tree/master/Module%201,%20Lesson%201%20-%20Introduction%20to%20data%20as%20a%20science.ipynb))
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- *Lesson 2*: Research and experiments with data ([#1](https://github.com/whythawk/data-as-a-science/issues/1))
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- *Lesson 3*: Probability, randomness, and the risk of de-anonymization ([#2](https://github.com/whythawk/data-as-a-science/issues/2))
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- *Lesson 4*: Sampling, data distribution, and secure data custody ([#3](https://github.com/whythawk/data-as-a-science/issues/3))

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