What Is Data Analytics?
www.clouddatatrain.biz/what-is-data-analytics
Data analytics is the process that transforms raw data into valuable information that can help businesses make informed choices to drive growth and enhance performance. It is utilized in a variety of industries, such as retail, healthcare and crime prevention.
Data scientists often start their careers by gaining relevant skills and experience via an internship or apprenticeship. In addition to proficiency with spreadsheet software, data analysts must also be conversant with programming languages like Python, SAS and R as well as machine learning techniques, database management, and data visualization.
Data analysis is a highly complex and multi-faceted subject that requires various approaches. The process is divided into four steps: determining the goals and issues gathering data, organising data, cleaning up data and analyzing data. The results are then presented to stakeholders through data visualization.
One of the most advanced forms of data analysis are cluster and time-series analysis. These methods break the large amount of data into smaller groups, for example, geographical or demographic segments, or by analyzing trends over time (e.g., the number of Instagram followers and the movie box office gross for a particular actress).
Data analytics can be used for a wide range of practical applications. Junbo Son is a researcher from the University of Delaware who has developed a data analytics system to assist asthma patients in managing their condition using bluetooth-enabled devices. This technology is being used in the business world to improve delivery logistics, boost credit scoring and risk assessment and also to focus marketing efforts.