The Data Analytics
certification is simply a certification of aware of basic analytics, which is
the knowledge of how to break down a workflow into segments from begin to end.
It is also used to certify the understanding of the process used by analysts to
frame a business issue analytically, allow verify of require data and control
the methodology for this acquisition.
Now, before proceeding further,
it is require to further investigate the term "data analytics". What
does the term data analytics mean? What is its application? Why do we need it?
What are the advantages? Why do we use such terminology to explain a set of
data collected? Why is it so necessary?
Data analytics:
Terminology: It is described as
the process which is used to verify certain sets of data so that outcomes can
be predicted from the information the data gather us. This is accomplished with
the help of certain tools which include specialized systems and software.
Reason for the terminology: The data is indeed complicated
and it can be either structured, unstructured or semi-structured. With
analysis, which can be done statistically using some basic scientific
fundamentals, this complicated data provides us with minute information such as
the amount of profit or loss the product has been able to generate, inventory
levels of the product and improvisations that can be made so as to get a better
outcome.
The significance of the
terminology: This is helpful for those industries where keeping track of the
products being released is very important. The enhancement of the sales of each
particular product is very important in such cases. Think of a new medicine has
been released. It works for those suffering from tropical diseases and has to
be marketed. The company decides to use certain methods of marketing. In order
to check how well people respond to the advertising, how well the product is
performing and the amount of sales generated, they need information regarding
the product. This is the same for stock exchanges and trade centers.
Application of data analytics: It is used in industries and
businesses where frequent updates about sales are important. There is lots of
information buried in this data. It allows this information to be revealed for
the benefit of the business with improved decision making. In cases where the
datasets are massive (Big Data), specific tools have been developed to manage
the data. The professionals are aware of these products.
Characteristics:
- Helps in getting an analysis of the performance of the products every second.
- Helps in increasing the sales.
- Helps in comparing sales.
- Helps in using various techniques and improvising them.
- Gives a visual representation of how well the methods used work out.
An individual will need certified training in data analytics
to perform the job of a Data Analytics professional. It will help the person to
deal with Big Data and provide a correct analysis of the data being collected.
A certification will provide the individual with a lot of benefits, the primary
one being employment. Ohio University, Massachusetts Institute of Technology
and a majority of colleges and universities worldwide provide data analytics
training and certification.
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