There are many data analytic software programs available, and the easiest one to learn depends on your level of expertise and what you are trying to accomplish. Here are some popular options for beginners:
- Microsoft Excel: Excel is a widely used spreadsheet program that has basic data analytics capabilities. It is user-friendly and can perform a variety of statistical analyses, such as calculating averages and standard deviations.
- Google Sheets: Google Sheets is a cloud-based spreadsheet program that is similar to Excel. It is free and offers many of the same features as Excel.
- Tableau Public: Tableau Public is a data visualization software that is free for personal use. It allows you to create interactive graphs and charts from your data.
- R: R is a free and open-source programming language that is used for statistical computing and graphics. It has a steep learning curve but offers a wide range of analytical capabilities.
- Python: Python is a popular programming language for data analysis. It is easy to learn and has a variety of libraries and modules that make data analysis easier.
Ultimately, the best way to choose the easiest data analytic software to learn is to try a few options and see which one you are most comfortable using.