For data science and statistics analysis
Stata is a software package designed to perform a variety of data analyses. NGOs commonly use it, and in the realm of academia, it is used in a variety of disciplines.
User-friendly statistical analysis
Some of the things users can do with Stata include organizing data, a variety of statistical analyses, and making regression models.
Stata is a statistical software package that was created for general use. It is common to find people using this product if they are apart of an NGO or doing a study related to the social sciences.
This statical analysis program has multiple strengths. For starters, the learning curve isn’t as steep as it is with other similar products. If you need help with Stata, there is support given in over 13 languages, including Hindi, Russian, and Spanish. This program is one of the easiest to use when it comes to performing analysis on datasets on one table. Finally, graphs are not only easy to create in this software, but there is a built-in graph editor which allows you to change colors, axis labels, scale, pretty much anything on the graph.
This program does have some quirks to it. The program works well with only one data table. If you try to do analysis involving multiple tables, it is possible, but it’s a fairly complicated process. Another issue is this program doesn’t have a lot of data packages pre-installed, as similar software does.
Where can you run this program?
In addition to Windows, Linux, and Mac operating systems, this product is also available in a web browser.
Is there a better alternative?
Yes R, SAS, MatLab, and SPSS are better than Stata because the scope of what Stata can do is fairly limited. All the other alternatives allow its users to work off of multiple datasheets, which is something lacking in Stata.
This software is good for people just starting to get into more advanced statistical analysis, and it doesn’t have a steep learning curve when compared to similar products.
Should you download it?
No. Unless you are just starting out with analysis, it’s an easy to use statistical package, but it is really only a step above Microsoft Excel. There are better options.
- Good for standard econometrics
- Can work offline
- Works best with one datasheet
- Not much of a learning curve
- Graphics aren’t great
- Not a lot of built-in software packages
- Using multiple datasheets is troublesome