Archive by Author

May 2016 Recap – Stats for Digital with Dr. Levin

♫ So no one told you stats were gonna be this way,  [ clap x 4 ]
♫ Your r’s a joke,  your model’s broke, your regression’s D.O.A….

Our May event was an engaging overview of statistics for digital practitioners from Dr. Michael Levin of Otterbein University. In a packed room under the watchful eye of the Winking Lizard, Dr. Levin covered some of the basics we should all want to know, and gave some good resources for next steps. Plus for added difficulty, all done with Friends metaphors.


 


If you are interested in learning more on the topic, you can register for Dr. Levin’s Inferential Statistics on Excel Workshop in July at Otterbein here.

We believe (with a high confidence level) that the number of pictures taken of the final reference slides were good indicator of a strong amount of interest in these resources, so here are the links:

Books:
The Cartoon Guide to Statistics
Statistics in Plain in English
Statistics (Dictionary)

Excel Websites:
Chandoo.org
Excelcharts.com
Excel-easy.com

Statistics Websites:
analyticsdemystified.com/blog/ (over Tim’s objection that it doesn’t contain statistically significant statistics content)
danielsoper.com
socialresearchmethods.net
statsoft.com
statwiki.kolobkreations.com

Youtube:
Gaskination
How2stats
Khan Academy

Twitter:
analysis_factor
DIYmr
simplystats

And finally, some of the free dataset sources mentioned:
data.gov
Survey Data from NORC at University of Chicago
List from Amazon Web Services

We’re taking June off, so we’ll see everyone next time in July!

March 2016 Recap, Jim Sterne

March was an energizing talk from digital analytics legend Jim Sterne on how to become indispensable to your organization, complete with authentic #lobby-bar experience at local beer hall Hofbräuhaus.

Maybe we aren’t all indispensable yet (though we’re hoping not to be “a danger to ourselves and
a menace to society”), but we learned some great tips. Like how to think about where we are now and where our organization might be, as well as important thoughts on where the future may be headed. The future is either killer robots forcing us to do taxonomy for them (it’s worse than being a human battery, but as far as the robots are concerned while we are slow we are smart at that kind of stuff) and/or machine learning becoming more plugged into everything we do.

The cbusdaw “tweet-of-the-night” award, which is an award we are creating this very moment in lieu of a more lengthy and meandering recap is from Dr. Levin who summed up Jim’s points on communication very well as:

February 2016 Recap – Data Collection with Jason Packer

Our February WAW was a presentation by Jason Packer on the details of data collection, when that runs into trouble, and what we can do to clean up our data. A significantly below-average beers per attendee ratio confirms that indeed this is a very sobering topic.

Here are the slides (reference links on the final slide):


 

WAW regulars may recall in our January meeting that one of our goals for 2016 was to try and get a better understanding of how data collection works and where it’s headed. During said meeting Jason (who is totally not the one writing this recap, because that would be weird, right?) had such a good time that the next morning he woke up to realize he had volunteered to give a talk the following month on that very topic.

Next month, Jim Sterne on becoming indespensible.