R is an open source programming language used for statistical analysis. Includes a command-line interface and various graphical interfaces. Popular types of algorithms are linear and nonlinear modeling, time series analysis, classification, and clustering. According to Gartner research, more than 50% of data science teams currently use R to a certain capacity. The R language competes with commercial products such as SAS and Fuzzy Logix.
Data literacy is the ability to read, evaluate, discuss and work with data/information. It can also be defined as a skill that enables everyone to ask the right questions, gather information, evaluate, and communicate effectively with others.
Data architecture is a set of rules, policies, standards, and models that govern and determine the type of data collected, and show how this data is used, stored, managed, and integrated within an enterprise and database systems.
The concept of digital transformation has been supported by many industry experts since 2012, allowing companies to update their business models. Technologies such as data analytics tools, artificial intelligence and cloud computing services are contributing to the development of digital transformation in companies.
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