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Add live nbgitpuller links.
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overview.md

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# Statistics 159/259, Spring 2022 Course Summary
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## Overview
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This course teaches “the why and how” of reproducible and collaborative research by combining questions of good computational practice in science, open science and statistical data analysis, in the context of today’s research environment. We will interleave practical topics in software engineering and statistical computing with broader discussions on elements of the philosophy of science and the foundations of statistics.
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More details can be found [in the syllabus](syllabus.html).
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## Content
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The table of contents on the left pane has links to lectures and labs. The following are live executable links that use the [nbgitpuller](https://jupyterhub.github.io/nbgitpuller) service to give you a current copy from git of the given content, ready to be run in the Spring 2022 Berkeley hub. You can use these links in order to run the content conveniently without manual git work.
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### Live links for labs on the Berkeley DataHub
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* [Lab 01](https://stat159.datahub.berkeley.edu/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2FUCB-stat-159-s22%2Fsite&branch=main&urlpath=lab%2Ftree%2Fsite%2Flab).
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## Concepts
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