What Is Data Analytics?


What Is Data Analytics?

Data analytics is a method that transforms raw data into valuable insights that can assist companies make informed decisions to boost growth and improve performance. It is used across industries from healthcare to retail to crime prevention.

The typical path to career for data scientists is to first obtain relevant skills and experience through an apprenticeship or internship program. Data analysts should be proficient in spreadsheet software. They should also have knowledge of programming languages such as Python, SAS, and R in addition to machine-learning techniques such as database management, visualization of data.

Data analysis is a vast field that has a wide variety of approaches. The process is split into four steps: determining the goals and issues, gathering data, cleaning it up, and analysing data. The results are presented to stakeholders via data visualization.

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

The applications for data analytics are endless. For example, Junbo Son, a researcher at the University of Delaware, has created a system using data analytics to help asthma patients self-manage their condition using inhalers that are bluetooth-enabled. In the business world, this kind of technology is used to tailor marketing efforts, increase risk assessment and scoring in credit reports and improve delivery logistics.

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