[open-economics] Fwd: Reproducible Research: Week 1

Mon May 5 13:45:08 UTC 2014

The first week of the Coursera MOOC on Reproducible Research...

 *Velichka Dimitrova,*
The latest information from Reproducible
Research<https://eventing.coursera.org/redirect/vj-j4p2s9tW2l7xlfwXOEM6aO5acCBF6M0Hz7_aShJ1baE5MjJwKW4b70VE7jaDrX5YQu8ZdimrsDpdfosKgyg._WS94w4CPU3rAb8YgUHtxw.5xdqFtsupKfAnR4bqmD0iCqyrLOH3vB8ycUzpmsnuB5WqV8SGv04Ku2ZalNVzSZewvNi0o4KgMdj7GTLxt-aiADVG2BoLOdorKin63LEDfvJcX40jBQxFOgfon_wr11TvwCasz0aaxW9W5XYh9rWt7F_ftTBZ9s0yLoeD_7Qym7ZVlb91PW_iCrpfynsll4SyH_h9WCWY8wJk_YYtj5AprIrfhHsbzDh0M__p0yq5eXLDFu8qB5TvvuHoUnRpJypLaD2ZF3KMqyLKmRlJdwDikWRB3UODc21Dk0UMx6vHr2aFJwjBDb3TW00nFqvo4a5yvzdODXdLRjvK4LHKC_l8w>on
Coursera.
I'm very excited to start Reproducible Research and I hope you are too.
Reproducible research is the idea that for any data analysis or research
product, the data and the computer code that went into doing that analysis
is available to others so that they might examine what you've done and
reproduce your findings. This idea is becoming increasingly important in
the era of "Big Data" where data analyses are become more and more
complicated and difficult to describe in plain language. This course will
cover some of the tools that you can use to make your data analyses
reproducible.

As of now the course web site on Coursera is open and you are free to start
watching lecture videos, take the quizzes, and look at the first
programming assignment. As you browse the course web site, please make sure
to read through the *syllabus* which contains important information about
the grading policy and deadlines for quizzes and peer assessment
assignments as well as the course schedule.

The primary way to interact with me in this course is through the *discussion
forums*. Here, you can start new threads by asking questions or you can
respond to other people's questions. If you have a question about any
aspect of the course, I strongly suggest that you search through the
discussion boards first to see if anyone as already asked that question. If
you see something similar to what you want to ask, you should up-vote that
question using the up-arrow button rather than asking your question
separately. The more votes a question or comment gets, the more likely it
is that I will see it and be able to respond quickly. Of course, if you
don't see a question similar to the one you want to ask, then you should
definitely start a new thread on the appropriate forum.

This week will cover the basic ideas of reproducible research since they
may be unfamiliar to some of you. We also cover structuring and organizing
a data analysis to help make it more reproducible. I recommend that you
watch the videos in the order that they are listed on the web page, but
watching the videos out of order isn't going to ruin the story. For each
lecture video you can download a separate PDF document of the slides (the
demonstration videos don't have slides associated with them).

Watching the videos on the Coursera web site is the best way to watch the
lectures. However, there are alternative ways to view the lectures if that
suits you. You can download the lecture video MP4 files and watch them
locally on your computer.

I hope you enjoy the class. I anticipate a fun four weeks!

Roger Peng and the Data Science Team
Visit the course to start learning
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