Re: st: Upcoming NetCourses

[kdlop1@comcast.net]

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/