What Is Data Analytics?
Data analytics is a process that transforms raw data into valuable information that can help businesses make better decisions to boost growth and improve performance. It is used in a variety industries, such as retail, healthcare and crime prevention.
The typical path to career for data scientists is to obtain relevant skills and experience through an internship or apprenticeship program. Data analysts must be proficient with spreadsheet software. They should also have proficiency in programming languages such as Python, SAS, and R as well as machine-learning techniques as well as database management and visualization of data.
Data analysis is a nebulous field with a wide range of methods. The process is split into four steps: identifying the goals and issues collecting data, securing data, cleaning up data, and analysing data. The results are then presented to the stakeholders which is usually done through data visualization.
One of the most advanced forms of data analysis are cluster analysis and time-series analysis. These techniques essentially break down large data sets into smaller groups, for example, geographical or demographic segments, or by analyzing trends over time (e.g., the number of Instagram followers and movie box office grosses for an actress).
Data analytics is a broad array of practical applications. For example, Junbo Son, a researcher at the University of Delaware, has developed a system that uses data analytics to help asthma sufferers self-manage their condition using Bluetooth-enabled inhalers. This technology is being used in the business world to improve delivery logistics, boost credit scoring and risk assessment and target marketing efforts.