Data science is an interdisciplinary field that combines techniques and tools from statistics, mathematics, computer science and business domains to extract knowledge and value from data. The goal of data science is to discover patterns, trends and relationships in data that enable informed decisions and solve complex problems in different areas, such as medicine, biotechnology, marketing, industry, among others.
It deals with processing data in various structured or unstructured forms which is usually the continuation of the fields of statistical data analysis.
Data science involves a series of steps from data collection and cleaning, through exploratory analysis, modelling and evaluation, to communication and presentation of results. A variety of data analysis techniques and tools are used, such as data mining, machine learning, data visualisation, and others.
The Official Chamber of Commerce of Seville, in collaboration with the Spanish Institute of Financial Analysts (IEAF), offered last March 16th [...]
Read More »Companies are becoming increasingly aware of the importance of gradually incorporating artificial intelligence into their business models. The imp [...]
Read More »Before explaining what artificial intelligence is, we would like to start with a sentence from the book Age of intelligent machines (1992), by Raymond Ku [...]
Read More »Artificial intelligence is increasingly present in companies and its growth is being applied in practically all sectors. When the end [...]
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