Statistical software for data science | Stata Stata delivers everything you need for reproducible data analysis—powerful statistics, visualization, data manipulation, and automated reporting—all in one intuitive platform
Stata - Wikipedia Stata ( ˈsteɪtə , [2] STAY-ta, alternatively ˈstætə , occasionally stylized as STATA [3][4]) is a general-purpose statistical software package developed by StataCorp for data manipulation, visualization, statistics, and automated reporting
Stata Frequently Asked Questions Important Links How can I get my own copy of Stata? Where to run Stata? How to get Stata? Installing, Customizing, Updating Stata Statistical Analysis Data Analysis Examples Annotated Output Textbook Examples Web Books What statistical analysis should I use? Advanced Usage Stata Programs for Research and Teaching Code
Stata for Windows For a complete list, view our compatible operating systems Can Stata take advantage of all the cores on my computer for extra speed? Yes; Stata MP can perform calculations in parallel on 2 to 64 cores Visit the Stata MP details page for more information Can my copy of Stata run on both my Windows desktop and Mac laptop? Yes
Stata 19 documentation - Stata Press Stata 19 documentation Stata's documentation consists of over 19,000 pages detailing each feature in Stata, including the methods and formulas and fully worked examples
Stata - NIH Library Stata is an integrated statistical software package for data management, analysis, and visualization
Statalist | The Stata Forum We discuss Stata, statistics, and Stata and statistics You can browse without registering but you need to register to participate in the discussion or ask a question
New in Stata 19 | Stata What's new in Stata 19 Experience the latest advancements, including many new statistical features such as machine learning via H2O, CATE, and HDFE; more powerful tables and graphs; and improvements to the interface
Stata 12 Download Stata 12 is an integrated statistical software package for data management, analysis, visualization, and automated reporting It is widely used across economics, public health, social sciences, epidemiology, and policy research for its balance of power, speed, and usability