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st: Upcoming NetCourses
StataCorp will be offering sessions of NC-101, NC-151, NC-152, and NC-461
starting January 19th. 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: January 19 through March 2
Deadline for enrollment: January 18
Cost: $95
Course Leaders: Kevin Crow, Kerry Kammire,
and Derek Wagner
Prerequisites: Stata 9 installed and working.
Internet web browser installed and
working. (Course is platform
independent.)
Schedule:
Lecture 1 January 19
Lecture 2 January 26
One-week break February 1 through February 7
Lecture 3 February 9
Lecture 4 February 16
Closing discussion
Course ends March 2
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
-------------------------------------------------
NetCourse 151. Introduction to Stata programming
-------------------------------------------------
Course length: 6 weeks (4 lectures)
Course dates: January 19 through March 2
Deadline for enrollment: January 18
Cost: $125
Course Leaders: Kevin Crow, Kerry Kammire,
and Derek Wagner
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 January 19
Lecture 2 January 26
One-week break February 1 through February 7
Lecture 3 February 9
Lecture 4 February 16
Closing discussion
Course ends March 2
Content:
o Organizing analyses
o Handling complex datasets
o Use of macros
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 152. Advanced Stata programming
------------------------------------------
Course length: 7 weeks (5 lectures)
Course dates: January 19 through March 9
Deadline for enrollment: January 18
Cost: $150
Course Leaders: Kevin Crow, Kerry Kammire,
and Derek Wagner
Prerequisites: Stata 9 installed and working.
Internet web browser installed and
working. NetCourse 151 or equivalent
knowledge. (Course is platform
independent.)
Schedule:
Lecture 1 January 19
Lecture 2 January 26
Lecture 3 February 2
One-week break February 8 through February 14
Lecture 4 February 16
Lecture 5 February 23
Closing discussion
Course ends March 9
Content:
o The -syntax- command and how it makes parsing command syntax
and options almost as easy as writing a syntax diagram,
o Estimates and return classes for saving and accessing
results,
o Setting the estimation sample,
o Advanced macro manipulation,
o The full range of Stata programming concepts.
-----------------------------------------------------------------------
NetCourse 461. Introduction to Univariate Time Series Using Stata
-----------------------------------------------------------------------
Course length: 7 weeks (4 lectures plus overview of
multivariate methods)
Course dates: January 19 through March 9
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 January 19
Lecture 2 January 26
Lecture 3 February 8
One-week break February 8 through February 14
Lecture 4 February 16
Overview February 23
Closing discussion
Course ends March 9
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 Stata NetCourses by pointing your web browser to
http://www.stata.com/info/products/netcourse/
-- Kevin Crow, StataCorp
[email protected]
*
* 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/