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What is Data Science? | Introduction to Data Science | Data Science for Beginners |
Simplilearn
Data Science is an increasingly important field, with an ever increasing demand for data
scientists
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Mohan Mohan discussed the need for
data science and definitions, as well as the differences between business intelligence and
data science
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Lastly, he
mentioned how data science can be used in politics to create personalized messages
tailored to the voters
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This helps
to identify the problem that needs to be solved and serves as the basis for the modelling
process
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Business intelligence relies heavily on structured data, while data
science involves much more complexity, such as machine learning and the extrapolation of
future trends like sales
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Python is becoming increasingly popular in data science for its ease of use and the variety of
libraries it supports for data science, machine learning, and powerful visualization through
matplotlib
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Spark is an excellent computing engine for distributed data analysis or
machine learning
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Raw data is
collected, processed and analyzed before being fed into the analytic system to create output
which is then formatted in a way that is useful for stakeholders
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It is a
clustering mechanism which determines which objects belong to which cluster based on
their scores
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Data scientists explore the data, looking
at its structure and removing any columns that don't add value from an analytical
perspective
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If there are too many missing
values in few records of large data sets, it's ok to get rid of those entire rows
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Model planning
follows, and which model to use depends on the problem you're trying to solve
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The training process may have to be iterative, and MATLAB is a popular tool for
educational purposes
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35 carat diamond
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The demand for data scientists is currently huge and the supply is very low, creating a large
gap
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The global demand for data scientists is also high, which further highlights the
importance of these skills
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Thank you very much for watching
this

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