languages, such as R for statistical analysis, and Python for more general programming, are the two languages most commonly used in analytics. If you analyze big data sets, you may benefit from ...

DSLs are especially powerful when used with a rules engine — and most rules engines support some kind of DSL system. [ Also on InfoWorld: Andrew Oliver embraces the programming language explosion.

Yes, being a data analyst requires knowledge of coding and programming languages. Data analysts use coding and programming for data manipulation, cleaning, preparation and visualization.

Understanding statistical concepts and data analysis principles is crucial ... Knowing when to use the right programming language Knowing when to use the right programming language is crucial ...

It’s the backbone of software, applications, and data analysis ... was released in 1991 as an open-source programming language, meaning anyone can use the language without having to purchase ...

A DSL (domain-specific language ... when used with a rules engine — and most rules engines support some kind of DSL system. A key advantage to this type of DSL is that business analysts who ...