{"id":78348,"date":"2024-08-15T04:21:20","date_gmt":"2024-08-15T02:21:20","guid":{"rendered":"https:\/\/intellias.com\/?post_type=blog&p=78348"},"modified":"2024-08-15T04:21:20","modified_gmt":"2024-08-15T02:21:20","slug":"data-analytics-vs-data-science-what-are-the-key-differences","status":"publish","type":"blog","link":"https:\/\/intellias.com\/data-science-vs-data-analytics\/","title":{"rendered":"Data Analytics vs Data Science \u2013 What Are the Key Differences?"},"content":{"rendered":"
Today, data is the core driver of the majority of business processes in all industries. By 2025, the total amount of data in existence globally is estimated to reach a figure in the range of 175 zettabytes (according to Deloitte<\/a>) to 181 zettabytes (as forecasted by Statista<\/a>). Moreover, Deloitte states that today, people are no longer the main producers of data \u2014 it\u2019s technology, such as Internet of Things networks, smart devices, and other hardware, that generates the biggest chunk of modern data.<\/p>\n With the dependency of all routine flows and processes on data, it\u2019s only logical that data deserves dedicated jobs and even its own field of science. The market for data-related jobs is growing faster than others, with data projected to create as many as 300,000 jobs by 2031 in the US alone as estimated by the U.S. Department of Labor<\/a>.<\/p>\n In the context of data processing, we often come across references to data science and data analytics, and these terms are frequently used interchangeably. But while these two fields are closely related, there are key differences. This post dives deep into the specifics of data science and data analytics, attempting to answer the main question: \u201cWhat is the difference between data analytics and data science?\u201d<\/p>\nWhat is data science?<\/h2>\n
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