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Re: st: Upcoming NetCourses


From   kdlop1@comcast.net
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Upcoming NetCourses
Date   Wed, 02 May 2007 15:42:05 +0000

Kevin-
I am beginning to work with panel data for the first time.  I wonder if the time series course is appropriate for me to learn more in this area--or is panel different from time series.
Karen
 
--
Karen Dunn Lopez, RN, MPH
PhD Candidate
The University of Iowa
College of Nursing
 
-------------- Original message --------------
From: "Kevin Crow, StataCorp" <kcrow@stata.com>

> StataCorp will be offering sessions of NC-101, NC-151, and NC-461 starting June
> 15th. The NetCourses are available on the Internet using a web-based system to
> deliver lectures, problem sets, and solutions. Course participants and Stata
> course leaders interact through a bulletin board to discuss the course and to
> ask and answer questions.
>
> Here is a little more information about the upcoming NetCourses:
>
> ---------------------------------------------
> NetCourse 101. Introduction to Stata
> ---------------------------------------------
>
> Course length: 6 weeks (4 lectures)
> Course dates: June 15 through July 27
> Deadline for enrollment: June 14
> Cost: $! 95
> Course Leaders: Kevin Crow, Kerry Kammire,
> and Theresa Boswell
>
> Prerequisites: Stata 9 installed and working.
> Internet web browser installed and
> working. (Course is platform
> independent.)
> Schedule:
> Lecture 1 June 15
> Lecture 2 June 22
> One-week break June 28 through July 4
> Lecture 3 July 6
> Lecture 4 July 13
> Closing discussion
> Course ends July 27
>
> Content:
> o Getting started with Stata
> o Understanding the fundamentals of Stata syntax
> o Managing and organizing work and files
> o Searching for new commands, help, and other information
> o Installing new commands over the web
> o Managing data
> o Managing categorical variables
> o Handing groups with -by- processing
> o Reading various types of data into Stata
> o Match-merging and appending data
>
&g! t;
> -------------------------------------------------
> NetCourse 151. Introduction to Stata programming
> -------------------------------------------------
>
> Course length: 6 weeks (4 lectures)
> Course dates: June 15 through July 27
> Deadline for enrollment: June 14
> Cost: $125
> Course Leaders: Kevin Crow, Kerry Kammire,
> and Theresa Boswell
>
> Prerequisites: Stata 9 installed and working.
> Basic knowledge of using Stata
> interactively. Internet web browser
> installed and working. (Course is
> platform independent.)
> Schedule:
> Lecture 1 June 15
> Lecture 2 June 22
> One-week break June 28 through July 4
> Lecture 3 July 6
> Lecture 4 July 13
> Closing discussion
> Course ends July 27
>
> Content:
> o Organizing analyses
> o Handling complex datasets
> o Use of macros!
&g t; o Flow of control
> o Program arguments
> o Bootstrapping standard errors
> o Performing simulations
> o Parsing program arguments (including the -syntax- command)
> o ado-file programming
>
>
> -----------------------------------------------------------------------
> NetCourse 461. Introduction to Univariate Time Series Using Stata
> -----------------------------------------------------------------------
>
> Course length: 7 weeks (4 lectures plus overview of
> multivariate methods)
> Course dates: June 15 through August 3
> Cost: $295
> Course Leaders: Brian Poi and Gustavo Sanchez
>
> Prerequisites: Stata 9 installed and working.
> Course content of NetCourse 101 or
> equivalent knowledge. Familiarity
> with basic cross-sectional summary
> statistics and linear regression.
> Internet web browser, installed and !
> ; working. (Course is platform
> independent.)
> Schedule:
> Lecture 1 June 15
> Lecture 2 June 22
> Lecture 3 June 29
> One-week break July 5 through July 11
> Lecture 4 July 13
> Overview July 20
> Closing discussion
> Course ends August 3
>
> Content:
> o Working with time-series data in Stata
> o Drawing graphs
> o Exponential smoothers and forecasting techniques
> o Time-series processes
> o Sample autocorrelation and partial autocorrelation functions
> o ARIMA and seasonal ARIMA models
> o Autocorrelation and regression analysis
> o Nonstationarity and unit-root tests
> o ARCH/GARCH models
> o Vector autoregressions (VARs) and vector error correction
> models (VECMs)
>
>
> ----------------
> More information
> ----------------
>
> You can find out more about Stat! a NetCo urses by pointing your web browser to
>
> http://www.stata.com/info/products/netcourse/
>
>
>
>
> -- Kevin Crow, StataCorp
> kcrow@stata.com
> *
> * For searches and help try:
> * http://www.stata.com/support/faqs/res/findit.html
> * http://www.stata.com/support/statalist/faq
> * http://www.ats.ucla.edu/stat/stata/



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