Software for statistical analysis

There are many software options available for statistical analysis, and several of them offer free versions or online access. Here are a few options:

R: R is a free and open-source software environment for statistical computing and graphics. It is widely used in academia and industry and has a large community of users and developers. R can be downloaded and installed on your computer, or you can access it online through platforms like RStudio Cloud.

Python: Python is a general-purpose programming language that can be used for statistical analysis and data visualization. It has many libraries and packages, such as Pandas and Scikit-learn, that make data analysis and machine learning tasks easier. Python can be downloaded and installed on your computer, or you can use online platforms like Google Colab or Jupyter Notebook.

SPSS: SPSS (Statistical Package for the Social Sciences) is a widely used software for statistical analysis in social sciences. It offers both a free trial version and a student version with limited capabilities. It has a user-friendly interface and a wide range of statistical tools and tests.

SAS University Edition: SAS (Statistical Analysis System) is a powerful software for data analysis, visualization, and machine learning. SAS University Edition is a free version of the software that can be downloaded and installed on your computer for educational purposes. It has many features and tools for statistical analysis and modeling.

Jamovi: Jamovi is a free and open-source software for statistical analysis and visualization. It has a user-friendly interface and provides many tools and tests for data analysis, such as ANOVA, regression, and factor analysis.

These are just a few of the many software options available for statistical analysis. Each software has its strengths and weaknesses, so it is important to choose the one that best fits your needs and preferences.

David Morse

Hello Junry,

The best software to select depends on what it is you are trying to accomplish.

Here is one group's ranking of free (or free to use) statistical software:

https://www.predictiveanalyticstoday.com/top-free-statistical-software/

Of course, as prior comments have noted, both the R system and software based on the R system are excellent choices.

Good luck with your work.

Ronán Michael Conroy

I've found jamovi (based on R) to be very useful with students because unlike R it has a rapid learning curve. I'm also impressed with JASP, which is also really easy to start with, but haven't any experience of using it in teaching. Both are free and based on R, and are worth a look.

Junry Esparar

Thank you so much for sharing with such a substantial information. I truly appreciate it.

Patience Aboagyewaa

STATA 15 or latest STATA Version with Machine learning functions will be okay

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