These days, many people use Stata for econometric and medical research purposes, among other things. There are many people who use different packages, such as **Statistical Package for the Social Sciences** (**SPSS**) and EViews, Micro, RATS/CATS (used by time series experts), and R for Matlab/Guass/Fortan (used for hardcore analysis). One should know the usage of Stata and then apply it in one's relative fields. Stata is a command-driven language; there are over 500 different commands and menu options, and each has a particular syntax required to invoke any of the various options. Learning these commands is a time-consuming process, but it is not hard. At the end of each class, your do-file will contain all the commands that we have covered, but there is no way we will cover all of these commands in this short introductory course.

Stata is a combined statistical analytical tool that is intended for use by research scholars and analytics practitioners. Stata has many strengths, but we are going to talk about the most important one: managing, adjusting, and arranging large sets of data. Stata has many versions, and with every version, it keeps on improving; for example, in Stata versions 11 to 14, there are changes and progress in the computing speed, capabilities and functionalities, as well as flexible graphic capabilities. Over a period of time, Stata keeps on changing and updating the model as per users' suggestions. In short, the regression method is based on a nonstandard feature, which means that you can easily get help from the Web if another person has written a program that can be integrated with their software for the purpose of analysis. The following topics will be covered in this chapter:

Introducing Data analytics

Introducing the Stata interface and basic techniques