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Module 1, Lesson 2 - Research and experiments with data.ipynb

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"# 2. Research and experiments with data\n",
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"> Research is read more than it is written.</i>\n",
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"> Research is read more than it is written.\n",
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"It is a truth fundamental to research that new knowledge is advanced through the acquisition and interpretation of existing knowledge. \n",
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README.md

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1. **Module 1**:
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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 2*: Research and experiments with data ([view](https://nbviewer.jupyter.org/github/whythawk/data-as-a-science/blob/master/Module%201%2C%20Lesson%202%20-%20Research%20and%20experiments%20with%20data.ipynb))
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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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- *Lesson 5*: Expected statistical outcomes using distributions, and issues for analysis ([#4](https://github.com/whythawk/data-as-a-science/issues/4))
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- *Lesson 9*: Liquid modernity, multiple jurisdictions, and assessing causality in randomised control trials ([#18](https://github.com/whythawk/data-as-a-science/issues/18))
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- *Lesson 10*: Consolidate what you have learned, and explore machine learning ([#19](https://github.com/whythawk/data-as-a-science/issues/19))
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The first lesson is complete, and I estimate about 6 weeks to research and create each of the remaining 19 lessons.
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The first two lessons are complete, and I estimate about 6 weeks to research and create each of the remaining 18 lessons.
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## Supporting continued development of *Data as a Science*
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