Data science is a present-day technology world using a very common term. It is a multi-disciplinary entity that deals with data in a structured and unstructured manner. It uses scientific methods and mathematics to process data and to extract knowledge from it. It works on the same concept as Big Data and Data Mining. It requires powerful hardware along with an efficient algorithm and software programming to solve the data problems or to process the data for obtaining valuable knowledge from it.
The present information trends are providing us 80% of data in unstructured mannered while rest 20% structured in format for quick analyzing. The unstructured or semi-structured details require processing in order to make it useful for the present-day entrepreneur environment. Generally, this information or details are generated from the wide varieties of sources such as text files, financial logs, instruments and sensors and multimedia forms. Drawing meaningful and valuable insights from this information require advanced algorithms and tools. This Science is proposing a value proposition for this purpose and this is making it a valuable science for the present-day technological world.
How Data Science Drawing Insights from Data?
1. For example, present-day online sites are maintaining the huge volume of the details or information pertaining to their customer base. Now, the online store wants to propose product recommendations for each customer based on their past activity. The store got the entire information of the customers like past purchase history, products browsing the history, income, age and some more. Here, the science can be a great help by coming up with train models using the existing details and store could be able to recommend precise products to the customer base at the regular intervals. Processing information for this purpose is a complex activity, but the science can do wonders for this purpose.