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Before we discuss data science further, it doesn't hurt for us to get to know what data is. Data is a record of a collection of facts. these facts will be processed using data science and produce information. after an information is obtained, the information can become data again and be processed again into new information, confused? example: a company has sales data for the month of January, and this data will produce information on how much sales profit during the month of January. Then we can process the collected information again to obtain sales profit information for one year. data itself can have many formats such as text, numbers, images, audio, etc. Understanding what is Data Science First, we must know what data science is. Data Science is a combination of various tools, algorithms and machine learning principles with the aim of discovering hidden patterns from raw data. then what makes it different from statistics in general? The answer lies in the difference between exp

 Understanding Data Science and examples of its use - As we enter the era of big data and data science, the need for storage grows rapidly. This is a major challenge for the corporate industry until 2010. The main focus is to build frameworks and solutions for storing data. Like Hadoop and other frameworks that have solved the storage problem, now the focus of the world has shifted to data processing. Data science is the secret sauce here. All the ideas you see in Hollywood sci-fi, can literally turn into reality with Data Science. AI (Artificial Intelligence) is the future of data science. Therefore, it is important to understand what Data Science is and how it can transform your business. first we have to know what science data is. understanding data science / data science is a field of science that focuses on solving a problem using data. both structured and unstructured data.  More Detail Read : Definition of Data science