Looking for practical tutorials on statistical computing and data visualization? Curious about the ever-changing industry trends? Don’t know where to start? Then you’ve found the right place. In the coming weeks, we will launch a series of posts to introduce data resources to you.This series is meant to be absolutely down-to-earth, reasonably dry, and most importantly not fancy at all. But it is also going to be extremely informative and highly useful. We therefore present to you the Data Resources Mini Series – Not Just Buzzwords.
(Source: https://xkcd.com/1725/)
Before we start, make sure you’ve checked out NYU Shanghai’s all-inclusive guide on using Stata! If you missed our Library’s Stata Workshop, this site is the ideal place for you to access workshop notes, slides, and codes for all past sessions: Having done that, now we have many more useful resources to recommend to beginners and those who use Stata more substantially. The full web version of the list can be found here.
01 / if you are getting started
Stata Tutorial, Germán Rodríguez, Princeton University
Emphasizes data management and graphics.
Introduction to Stata, Alexander C. Lembcke, London School of Economics
A thorough introduction from the basics to data management and estimation in Stata.
A tour of Stata and how each piece of it works.
02 /if you need references on statistical analysisStatistical Analysis, UCLA: Statistical Consulting Group
Frequently Asked Questions on using Stata, StataCorp
Solutions to numerous real-life scenarios.
Articles on Statistical Computing, Social Science Computing Cooperative, University of Wisconsin-Madison
A directory of practical guides for users with various experiences with Stata.
The UCLA statistical consulting pages do not need recommendation.
Use it as a dictionary of producing graphs with Stata. Each chapter discusses a plot type; each item is a line of commands, a graph and a description of how to and why.
The Workflow of Data Analysis Using Stata, J. Scott Long (2009), Stata Press
Keep the workflow in mind.
The programming fundamentals.
presented by Yun Dai
yun.dai@nyu.edu
edited by Scotty Sun