Learning to work with a variety of programming languages (SAS, R and Python, for example) and learning to build models using historical data can help IT pros take data operations to the next level.
Organizations need employees who can interpret raw data and transform it into usable feedback that data analysts can use to guide decision-making. Learning to work with a variety of programming languages (SAS, R and Python, for example) and learning to build models using historical data can help IT pros take data operations to the next level. Read more about data science.