Data Science

Data Science

Data Science


    Today’s world is full of data and information. There are various servers with thousands of TB’s of space holding tons data. Especially interconnected servers involve sharing of data which is not only complex to handle but also create lots of complication for retrieving data. Software such as MySQL and Microsoft SQL Management Studio plays important role over managing database and handling lots of data, still unstructured data such as Videos, Photos, E-Mails are much complex to handle especially when it comes handling over internet.
    In order to overcome this situation of handling data, Data Science came to exist. World’s most popular data source Wikipedia says Data Science is basically a process/way through which the extraction of knowledge done from large volume of data that are structured or unstructured. Continuation of the field data mining and predictive analytics also known as Knowledge Discover and Data Mining (KDD).
New York Times Say,
    “This hot new field promises to revolutionize industries from business to government, Health care to academia.”
    The term “Data Science” is used in 1960 as substitute for computer science by “Peter Naur” and was used by him in his publication of “Concise Survey of Computer Methods”. In order to do the process of data science researcher of data science required who are expert in understanding this data i.e. Data Scientist. This data scientist solve this complication by writing algorithm basically to retrieve insights from those tons of bundle data present in various servers. This whole process are much more beneficial in marketing optimization and setting public policy especially it is beneficial in fraud detection.
    It can be said as whole data manipulation, knowing statistics and predicting the analytics with merging data sources is the basics of Data Science. Based on these creating visualizations in order to understand data and mathematical models usually involved by Data Science. This not only helps in interpreting data but also manage large amounts of data complication. This techniques of data science due to the capacity of handling complication created a rise in demand and thus various different sectors such as biological science, social sciences, medical informatics can be interpreted with the help of data science. And now it has achieved important place in field of computer science thus revolutionizing industries.
    

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