components of data Science

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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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