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Advanced data analysis: What is it and what is it used for?
Today, data is at the core of modern businesses. Knowing how to use and understand your data will give you a competitive edge and allow you to keep up with today’s fast-paced marketplace. Advanced data analysis (ADA) will help you achieve these goals. This branch of data science spans many disciplines, like computer science, which includes programming, mathematics, statistics and logical reasoning. It consists of collecting, cleaning and arranging raw big-data (unstructured, structured and semi-structured) so new knowledge can be extracted from it. This knowledge will be used to improve decision-making and optimize business performance by increasing efficiency and reducing production losses, among other options. Data science experts carry out these tasks. They use several tools to (1) manipulate data, (2) use or build algorithms to solve complex problems that standard systems cannot solve and (3) generate results (statistics, visualizations) that users can interpret to draw conclusions.
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