Data Science & Business Analytics

  • 1 hour
  • 19,486 Indian rupees
  • Location 1

Service Description

Data Science vs. Big Data vs. Data Analytics Data is everywhere and part of our daily lives in more ways than most of us realize in our daily lives. The amount of digital data that exists—that we create—is growing exponentially. According to estimates, in 2021, there will be 74 zetabytes of generated data. That’s expected to double by 2024. Hence, there is a need for professionals who understand the basics of data science, big data, and data analytics. These three terms are often heard frequently in the industry, and while their meanings share some similarities, they also mean different things. In this article, we will differentiate between data science, big data, and data analytics. We will cover what these terms mean, where they are used, the skills needed to become a professional in the field, and the salary prospects in each field. Let’s begin with understanding what these concepts are. Looking forward to becoming a data scientist? Check out the Data Scientist Masters Program and get certified today. What Is Data Science? Dealing with unstructured and structured data, data science is a field that comprises everything that is 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 data. This umbrella term includes various techniques that are used when extracting insights and information from data. What Is Big Data? Big data refers to significant volumes of data that cannot be processed effectively with the traditional applications that are currently used. The processing of big data begins with 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 can inundate a business on a day-to-day basis. Big data is used to analyze insights, which can lead to better decisions and strategic business moves. Gartner provides the following definition of big data: “Big data is high-volume, and high-velocity or high-variety information assets that demand cost-effective, innovative forms of information processing that enable enhanced insight, decision making, and process automation.”

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  • Location 1