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Basics Of Data Analysis By Data Analysis Assignment Help Providers


Definition of data analysis

The process of changing, cleaning, and modelling data to get useful information for the decision-making process of a business is known as data analysis. The prime motive of data analysis is to gather useful information from the data and taking the decision according to the analysis.


Why do we analyse data?

Whether to grow any business or even to achieve something in life analysis is the key. If any business is not growing the owner needs to look back and find out where they have made the wrong decision. For the proper growth of the business, all you need to do is analyse the business process and data.


Tools for data analysis

There are various tools for data analysis that makes the lengthy process of data analysis an easier task. It helps in manipulating data, analysing relationships and connecting different data sets. Below are some of the tools used for data analysis.  R-programming  SAS  Python  SQL  MATLAB  Java, etc.


Different methods and techniques for data analysis

There are various techniques for analysing any data. A few major methods of data analysis are noted-below.  Statistical analysis  Diagnostic analysis  Text analysis  Prescriptive analysis  Predictive analysis


Problems faced while analysis data

 There are lots of issues that researchers should be aware of        

while analysing the data. Such as Having ample skills for analysing data’ Framing unbiased interface Insufficient clarity related to objective result measurements Data recording methods and steps Validity and reliability Way of presenting data Proper training of staff involved in research Contextual and environmental issues, etc.


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