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1. Basics Of Data Analysis By
Data Analysis Assignment
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2. 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.

3. 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.

4. 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.

5. 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

6. 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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