The course is designed to take smart, knowledgeable people and turn them into proficient interactive users of Stata. The course covers not just the obvious such as getting data into Stata, but also covers lots of detailed techniques and tricks to make you a powerful Stata user. 


This course is designed for those wishing to know how to get familiar with Stata, to enter, modify, present data, produce simple summary statistics and data management using Stata
It also covers basic statistical theory and an introduction to some of the most frequently used data-analysis techniques.
You will receive copies of the PowerPoint slides used in the presentations and suggested reading lists which can be provided by VIETSURVEY.

Course Content:

Following an overview of the main features of Stata and an introduction to essential terminology, you will proceed logically through the following: 

Lecture 1: Introduction

* Filesystem basics
* Using directories to organize your work
* The current directory: Summary
* Dealing with files
* Filenames in Stata
* Loading the automobile data
* The basics of Stata
* How Stata conceptualizes data
* Stata’s command syntax
* The minimum set of commands everyone should know
* Working interactively: Getting organized
* Working interactively: Interrupting Stata
* Working interactively: Keeping logs
* Using the Stata Viewer
* Using search and updating Stata
* Installing Stata updates over the web
* Installing new commands over the web: The SJ and the STB
* Installing new commands over the web: Other sources
* Installing new commands: Statalist

Lecture 2: Miscellaneous data management topics

* Working with data
* The data in memory
* Value labels
* Formats
* Other kinds of labels
* Safe computing
* Basic data reporting
* Data manipulation
* Making strings into numerical categorical variables
* Doing things the long way
* The second solution
* The best solution
* Observation subscripts _n and _N
* Memory management


Lecture 3: Getting data into Stata

* Obtaining data
* The infile command
* Post-infile processing
* infile with a data dictionary
* The insheet and outsheet commands
* A note on memory management
* Reading multiple lines per observation
* Reading multiple observations per line
* Reading omitted data
* Reading string data
* Reading dates and times
* Reading large integers

Lecture 4: Data management

* Appending data
* Merging data
* Noes about merge
* Merge with repeated variables
* An example of append and merge
* Wide versus long data
* How to think about variables and their contents


Publications & Report

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VIETSURVEY  Research and Analysis
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46 Pho Vong, Hai Ba Trung, Ha Noi

Phone : +84 (04) 62 542 800
Fax: +84 (04) 62 542 800
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