Everywhere we
look, we see the data. The data is so vast that you need to know certain
architecture to store such huge amount of data. You also need to know how to
handle any failures in the system where the data resides. The answer is Data
Science. It is an advanced study about data. It deals with how data can be
stored, easily retrieved, accessed and maintained.
There are many concepts under data science. Some of
which are:
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Artificial
intelligence, big data and programming deals with how the data is handled.
Statistical analysis is a concept of what can be done with the data. Statistics
is the most powerful tool in data science. It is used for technical analysis by
the use of mathematics.
Statistical
features – this is probably the first technique
used to find out the details of the datasets. For example, to find the maximum,
minimum, average, etc. You need to remember two things.
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Probability
distributions- probability is the degree of the occurrence
of something. In data science, it’s the occurrence of data.
There are
various sorts of distributions and a few are listed as follows:
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We need to
always try to reduce the dimensionality of the data to reduce the complexity of
storage. That introduces us to the concept of Dimensionality Reduction.
As we can see,
there are wide range of operations to be done while considering data
statistically. This might look simple for us as regards easy and simple data.
But when it comes to large and complex data, careful measurement of each detail
of data has to be considered. It is not like a sport that you learn a few of
the rules and start implementing. It requires continuous learning and applicability
in order to iterate the present system efficiently.
Resource box:
As data is
gaining its scope day by day, the need for knowledge and the iterating concept
is much required because as the decades increase, data also increases and never
goes down. If you build a career where the graph always goes up, so does your
job opportunities. For this reason, Excelr brings up the data science course, Singapore to help you build your brighter future on a wide platform of data
science.