components of data Science

Components of
Data Science?
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Table Of Content
1. Data
2. Big Data
3. Machine Learning
4. Statistics and Probability
5. Programming Languages
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Data
Data is a grouping of real data that may be
used for calculations, discussions, and
reasoning. It is based on words, numbers,
observations, and measurements.
The raw dataset, which can include
unstructured data (such as images,
recordings, communications, PDF documents,
and so forth) and semi-structured data, is the
fundamental building block of data science.
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Big Data
Big Data is a set of data that is
enormous in volume and is always
expanding exponentially. No typical
data management systems can
effectively store or process this data
because of its magnitude and
complexity. Big data is an extremely
large type of data.
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Machine Learning
Data science's machine learning component
allows the system to process datasets
autonomously and without human intervention
by using different algorithms to process vast
amounts of data collected and gathered from
diverse sources.
It generates predictions, examines patterns, and
offers suggestions. Fraud detection and customer
retention are two areas where machine learning
is regularly employed.
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Staistics and Probability
Data is regulated so that data can be
extracted from it. Insights and likelihood form
the mathematical basis of data science
because, without a sound understanding of
measures and chance, there is a great
probability of confusing the data and coming
to an incorrect conclusion. For this reason,
statistics and probability play a crucial role in
data science.
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Programming Languages
Computer programming is typically used to organize and analyze data.
Hence Python and R are the two most used programming languages in
data science.
Python
The high-level programming language Python comes with a sizable
standard library. It is the most widely used language since most data
scientists adore it.
R- Programming
Among data scientists, R is the most widely used programming
language. It is compatible with Windows, UNIX, and Mac operating
systems.
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