Organizations need employees who can interpret raw data and transform it into usable feedback that data analysts can use to guide decision-making.
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.