Social media accounts to cooperate workspace database, news media portals to medical field data records, project management to day-to-day organizational information flow, and stock market servers. Where digital tools are used, data flows tremendously everywhere. These data are so invaluable that many rating agencies price them above any precious metal.
Science is the discipline of understanding, and data science is for the data and its potential benefits through its knowledge. Wikipedia explains data science as an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from noisy, structured, and unstructured data and apply knowledge from data across a broad range of application domains. Data science is related to data mining, machine learning, and big data.
It was in 1962 that John Tukey, an American mathematician, and statistician, introduced a field that he called “data analysis,” which comes ever closer to our modern-day data science. Some experts argue, including many statisticians, that data science is not a new field but another name for statistics. However, other experts claim that data science is distinct from statistics, focusing on problems and techniques unique to digital data.
Including this blog, any interaction in digital platforms generates incredible data!
Advancement in data science is the need of the hour, opening the door to more opportunities for students and experts to make remarkable contributions in this field.