Data analytics is the process of turning raw data into valuable insights. This can assist businesses make better business decisions that will drive growth and improve their performance. It is employed in a variety of industries, including retail healthcare, and crime prevention.

The most common path to a career for data scientists is to gain relevant skills and experience through an apprenticeship or internship program. Data analysts must be proficient in spreadsheet software, and have an understanding of programming languages such as Python, SAS, and R as well as machine learning techniques including database management, data visualization, and data visualization.

Data analysis is a complex field that has a wide variety of approaches. The process is broken down into four steps: identifying the objectives and questions Home Page gathering data, organising data, cleaning up data, and analysing data. The results are then presented to stakeholders via visualization of data.

Time-series and cluster analyses are among the most sophisticated methods of data analytics. These methods break down large data sets, such as demographic and geographic segments, into smaller groups. They also study the trends over time, e.g. the number of Instagram followers and movie box-office grosses for an actress.

The practical applications for data analytics are endless. Junbo Son is a researcher from the University of Delaware who has developed a system for data analytics to assist asthma patients in managing their asthma by using bluetooth-enabled devices. This technology is used in the business world to improve delivery logistics, enhance credit scoring and risk assessment and focus marketing efforts.