What are common tools used in PSE Cortex for data analysis?

The focus of PSE Cortex is on advanced data analysis, making statistical and machine learning libraries essential tools in this field. These libraries provide a wide array of functions and algorithms specifically designed for data manipulation, statistical modeling, and predictive analytics. They enable users to carry out complex computations and analyze large datasets efficiently.

By using these specialized libraries, practitioners can perform tasks such as regression analysis, classification, clustering, and more, which are foundational in gleaning insights from data. This approach is critical in a professional practice setting where data-driven decision-making is key.

While the other options mention tools like spreadsheets, word processors, and graphic design software, these are generally not suited for in-depth data analysis. Instead, they are more effective for document creation and presentation rather than for performing complex data tasks. Similarly, while database management systems and file storage solutions are important for data storage and management, they do not directly help in the analysis aspect as statistical and machine learning libraries do.