Data Science

• Data science is a multidisciplinary field for analyzing large amounts of data, with the object of generating results that can support decision management.
• In the realm of big data, data is analyzed to create meaningful insights to support real-time decision making or as part of a future strategy or endeavor.
• The life cycle of a typical data-science project consists of two phases or steps: business and data understanding, and data preparation.
• In a data-science project, data preparation consists of capturing, scrubbing, and processing the data.
• To make use of the data, mathematical models are created and used as classifiers for finding data with similar characteristics or for making predictions.
• To aid the decision-management process, the modeling results need to be communicated in a manner that makes sense to the decision makers; and whenever possible, it is important to present the data analysis visually.

-- Gupta, P., & Mata-Toledo, R.A. (2020, February). Data science. AccessScience. Retrieved August 29, 2023, from https://doi.org/10.1036/1097-8542.180970. https://www.accessscience.com/content/article/a180970