We will study and practice many different aspects of statistical communication, including graphing data and fitted models, programming in Rrrrrrrr, writing for specialized and general audiences, lecturing, working with students and colleagues, and combining words and pictures in different ways.

You learn by writing an entry in your statistics diary every day.

You learn by doing: each week we have two classes that are full of student participation, and before each class you have a pile of readings, a homework assignment, and jitts.

You learn by teaching: you spend a lot of time in class explaining things to your neighbor.

You learn by collaborating: you’ll do a team project which you’ll present at the end of the semester.

The course will take a lot of effort on your part, effort which should be aligned with your own research and professional goals. And you will get the opportunity to ask questions of guest stars who will illustrate diverse perspectives in statistical communication and graphics.

See also the statistical communication and graphics manifesto.

Here’s what’s happening in the 12 weeks of the course:

1. Introducing yourself and telling a story

2. Giving a presentation

3. Graphing data

4. Communicating uncertainty

5. Graphing models

6. Collaboration nd the scientific communiity

7. Dynamic graphics

8. Data processing and programming

9. Writing

10. Teaching

11. Student projects

12. Student projects

[I’ll be regularly updating this post, which I sketched out (with the help of the students in my statistical communication and graphics course this semester) and put here so we can link to it from the official course description.]

Is there a way to somewhat eavesdrop / gatecrash from online? Any chance the course materials, reading lists, assignments etc. are posted online? Videotaped lectures?

Rahul:

I’ll post the syllabus when it’s more together. There will be no lectures, at least no hour-long lectures; the course is structured through class participation. Ultimately I’d like to be able to put together a packet so that others can teach or self-organize the course for their own groups.

[…] Source: andrewgelman.com […]

I would love to take this class in the Spring. I would be cross-registering from the Business School. Do you have a better idea of when it might be offered?

Thanks!

Nisha

Wed eve and Fri midday, is the plan.

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Andrew:

i can’t come on Wed evening but am very interested in the topic. Would it be interesting/useful/allowable to sit in on the friday classes? ray

Hi, Ray. I’m teaching the course at Harvard this semester. But I plan to teach it again at Columbia next year so you can come then!

Hi Andrew, through the magic of Harvard it seems I cannot figure where (physically) the class is meeting tomorrow. Do you know?

Lizzie:

It’s the 7th floor classroom in the stat dept, I believe. But you can check the stat dept to be sure.

Science Center 705!! :)

[…] seem to be two parts to a good visualization practice, and in our class we’ve been focusing more on one of them, that is “how to get my point across?” To me that’s […]

[…] a project for Andrew’s Statistical Communication and Graphics graduate course at Columbia, a few of us (Michael Andreae, Yuanjun Gao, Dongying Song, and I) had the goal of […]

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This has some interesting ideas: http://rwet.decontextualize.com/