COMPARISON OF AR, MA AND ARIMA PROCESS TO PREDICT PRICE OF COPPER

Abstract

Now we are living in big volume data era, according the era user want a large amount of storage. This was the main problem or all the industries and companies to maintain this large amount of data till 2010. The main purpose was to make a unit or mechanism to solve the above problem in meaning full form. Now we have solve the storage problem with the help of Hadoop and other similar framework on different platforms, and now our storage related problem has been fixed and focus has been shifted to processing data in the form of meaningful form , so data science help to process data and manage in particular order. Data science is the term in which user can analyses the large amount of data with the help of tools and other mechanism which is present into the market , with the help of those tools and methods user can understand the nature of the data and according the nature it can be analyzed to corresponding use. Data science is used into the many fields to provide to make human like more easily, its helps in mathematics and also help full in statistic information. Data science used undoubtedly a field which is play an important role in IT fields ,that is taking world by storm but venturing into it because your friends are doing it doesn’t make sense. Suppose if you have a series of data and then you want to check or predication the data then its play very important role, data science is help full to understand the nature of data . This task is handled by the Data scientist, it’s the major responsibility of the data scientist to perform any task on to the data. a) Identifying the data-analytics problem to offer the great opportunity for the organization. b) Determine the correct data set value and variables. c) Collecting large number of data which can be in the form of structure or it can be in the form of unstructured. d) It’s also help to provide clear data and also check the validation and also guarantee to make data accuracy, uniformly and also provide correctness of the data . Page iv

e) Analyzed the data which can be in the form of structure or unstructured format provide or help to check the pattern which is hidden in structure form. f) Changed the data in a form which is help full to provide solution and opportunities. g) Also we can find out the data from communication which is held with stakeholder using the tool of visualization and so on. Above are the tasks which every data scientist have to perform or responsibilities so get the reasonable data for any organization.

Once we gets the data into the real shape means get both type of data like structure and unstructured data, now crucial part is start from here is data analysis, which combines visualization and also from the data sense. This is most important thing to change the data into a format so that it can change or convert easily so we have there are many source from which we got the data for analysis, these sources are database , flat files present into data base, spreadsheets and data which is not in good or correct format receive from social media.