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Check out the browser extension in the Firefox Add-ons Store. The discount coupon will be applied automatically. In fact, the amount of digital data that exists is growing at a rapid rate, doubling every two years, and changing the way we live. An article by Forbes states that Data is growing faster than ever before and by the year 2020, about 1. 7 megabytes of new information will be created every second for every human being on the planet. Which makes it extremely important to at least know the basics of the field. After all, here is where our future lies.

In this article, we will differentiate between the Data Science, Big Data, and Data Analytics, based on what it is, where it is used, the skills you need to become a professional in the field, and the salary prospects in each field. Let’s first start off with understanding what these concepts are. What They Are Data Science: Dealing with unstructured and structured data, Data Science is a field that comprises of everything that related to data cleansing, preparation, and analysis. Data Science is the combination of statistics, mathematics, programming, problem-solving, capturing data in ingenious ways, the ability to look at things differently, and the activity of cleansing, preparing and aligning the data. In simple terms, it is the umbrella of techniques used when trying to extract insights and information from data. Big Data: Big Data refers to humongous volumes of data that cannot be processed effectively with the traditional applications that exist.

The processing of Big Data begins with the raw data that isn’t aggregated and is most often impossible to store in the memory of a single computer. A buzzword that is used to describe immense volumes of data, both unstructured and structured, Big Data inundates a business on a day-to-day basis. Big Data is something that can be used to analyze insights which can lead to better decisions and strategic business moves. You too can join the high-earners’ club. Enroll in our Data Science Masters program and earn more today. Data Analytics: Data Analytics the science of examining raw data with the purpose of drawing conclusions about that information.

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