[Pols-announce] FW: Summer Stats Camp: Early Bird Enrollment Ends Soon

[Haider-Markel, Donald Patrick]

FYI

-----Original Message-----
From: Johnson, Paul E. <pauljohn at ku.edu> 
Sent: Thursday, April 11, 2019 3:11 PM
Subject: Summer Stats Camp: Early Bird Enrollment Ends Soon

Time is flying by!  I just looked up at the calendar and what do I see? The discounted early enrollment for the Summer Statistical Institute is ending tomorrow.

Full topic listings and details are posted on the CRMDA website (crmda.ku.edu/statscamp <http://crmda.ku.edu/statscamp>). */Registration is open! /*The courses are about half full (which is usual for this time of year), but seats are filling up.
*/
/*I also want to let you know that we are infusing the presentations with some additional talent.  CRMDA is partnered with the Achievement and Assessment Institute in the School of Education to make this the best summer institute ever.  This year we are welcoming Jake Thompson, PhD, (who is a psychometrician in the Achievement and Assessment
Institute) as a presenter for the R sessions.  During Python Week, Jacob Fowles, PhD (associate professor in the School of Public Affairs and
Administration) will be a primary presenter, along with Jon Lamb, PhD (associate professor in the Department of English).

I'll be busy working on my tax returns all weekend and I will not have a chance to terminate the early enrollment option until Monday.  So, if you are the sort of person who has put off signing up for the early bird special, it seems to me you might be able to make waiting till the last minute even more exciting and dangerous by registering on Saturday.**The only thing standing between you and victory is a hoard of students who are queued up right now to grab discounted seats on Friday. Once the registration total fills up the seats, we stop allowing new registrants.
*
Week 1:* *May 20-24.* Using R (internally referred to as the "summeR workshop").  Covers the basics of interacting with R, importing data, creating graphics, and conducting statistical analysis. This will introduce tools for project management that are offered in CRMDA’s R package, "kutils".

*Week 2:* *May 28-31.* Python Data Science. Covers the basics of interacting with Python, including how to navigate around Jupyter Notebooks, working with text data, using Pandas and scraping Internet data.

*Week 3:* *June 3-7.* Structural Equation Modeling. The SEM overview will be offered by Professor Ed Merkle of the University of Missouri. 
The "SEM example" archive created by CRMDA
(https://gitlab.crmda.ku.edu/crmda/semexample) will be introduced. The structural equations material, for the most part, uses R (and some
M/plus/) and it builds on the R modeling concepts discussed during the first week of the workshop. CRMDA will also move into more advanced SEM topics, such as missing data techniques and models for ordinal data.

pj
*//*

-- 
Paul E. Johnson			University of Kansas	     	
Professor			Director, Center for Research
Political Science		Methods & Data Analysis (CRMDA)
http://pj.freefaculty.org	http://crmda.ku.edu
email: pauljohn at ku.edu
Address: CRMDA
	 Watson Library, Suite 470
	 1425 Jayhawk Blvd.	
    	 Lawrence, Kansas
  	 66045-7594
   	 Ph: (785) 864-8215