Data analysis utilizes a variety of tools to extract insights and information from data. Some of the most commonly used tools in data analysis include:
Microsoft Excel: A spreadsheet software used for data manipulation, visualization, and analysis.
SQL: A programming language used for managing and manipulating data stored in relational databases.
R: A programming language used for statistical computing and graphics.
Python: A general-purpose programming language used for data analysis, machine learning, and visualization.
Tableau: A data visualization tool used to create interactive and informative dashboards and reports.
Power BI: A business analytics service that analyses data and shares insights.
SAS: A software suite used for advanced analytics, data management, and predictive modelling.
These are just a few of the many tools used in data analysis, and the choice of tools may vary depending on the specific needs of the organization and the nature of the data being analyzed.