There are several software and computer programs that you should be familiar with for this subject. These tools can greatly assist you in your studies and help enhance your understanding of the subject matter. Below, I have listed some important software and computer programs that are commonly used in this field.

1. Statistical Analysis System (SAS):
SAS is a powerful software suite used for advanced analytics, multivariate analysis, business intelligence, data management, and predictive analytics. It provides a comprehensive set of tools for data analysis, data visualization, and statistical modeling.

2. R:
R is a free and open-source programming language and software environment for statistical computing and graphics. It is widely used in data analysis and research, and has a vast library of statistical and graphical techniques. R provides a flexible and extensible framework for statistical modeling and data visualization.

3. Python:
Python is a popular programming language that is widely used in various domains, including data analysis and machine learning. It has a rich ecosystem of libraries such as NumPy, Pandas, and Matplotlib, which provide powerful tools for data manipulation, analysis, and visualization.

4. MATLAB:
MATLAB is a proprietary programming language and software environment designed for numerical computing, data analysis, and visualization. It provides an extensive set of functions and tools for mathematical modeling, simulation, and algorithm development.

5. Microsoft Excel:
Microsoft Excel is a widely used spreadsheet program that can be utilized for data analysis and visualization. It offers various features such as pivot tables, data filtering, and charting capabilities, which can aid in exploring and summarizing data.

6. Tableau:
Tableau is a data visualization software that allows users to create interactive and visually appealing dashboards and reports. It provides a user-friendly interface for data exploration and presentation, making it an effective tool for communicating insights.

7. SQL:
Structured Query Language (SQL) is a programming language used for managing and manipulating relational databases. It is essential for querying and extracting data from databases, as well as performing data transformations and aggregations.

These software and computer programs are widely used in the field of data analysis, statistics, and research. Familiarity with these tools can greatly enhance your ability to process, analyze, and visualize data, and make informed decisions based on the results.