Data wrangling is increasingly useful in machine learning and other computer science professions.
An information systems manager is a professional who manages and oversees an information technology (IT) department. IT departments play a key role in managing a company’s digital assets; ensuring that data is relatively simple, accessible and well-structured can significantly benefit asset management.
A data analyst is a type of data scientist who specializes in the analysis phase of data compilation and review. To properly analyze data, data analysts need high-quality data sets and strong data analysis skills.
A business intelligence analyst is a type of data analyst who specializes in using data insights to provide relevant intelligence reports for an organization. This information might include such insights as consumer activity and financial trends.
Database architects develop and manage databases, often alongside other professionals. A key part of data wrangling is structuring data to be efficiently stored, organized, processed and accessed, all of which make those skills highly applicable to the duties of a database architect.
Research science describes a broad range of professional pursuits to test hypotheses in a controlled environment. This can be done for a variety of purposes. As for information research scientists, they may conduct experiments such as algorithm testing and end-user testing. The use of new or existing data often supports research efforts by demonstrating the consistency of results under identical or similar conditions.
If any of these careers interest you, learn more about what educational requirements you may need to meet to enter these fields.
If you’re interested in learning fundamental skills involving data, University of Phoenix offers online degrees in data science, information technology and computer science.