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Data Science

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Statistics is the science of
Collecting,
Presenting,
Analysing and
Interpreting data.
Therefore, data scientist/analyst need to know statistics.
Post this course you should develop conceptual understanding of business statistics, its applications.
You would perform statistical inference and modelling to understand data and make decision based
on data.


Objectives


Statistics is the science of
Collecting,
Presenting,
Analysing and
Interpreting data.
Therefore, data scientist/analyst need to know statistics.
Post this course you should develop conceptual understanding of business statistics, its applications.
You would perform statistical inference and modelling to understand data and make decision based
on data.


You should be able to understand the statistical results effectively and in the context of business
problem without getting overwhelmed by the statistical jargon. You would learn to analyse and
visualize data in R.


You should be able to demonstrate mastery over statistical data analysis from exploratory data
analysis to inference to modelling, suitable for applying for business analyst or data scientist
positions.


R (Programming language) is free programming language and software environment for statistical
computing and graphics. The R language is widely used among data scientist, statisticians and data
miners for developing data models and data analytics. R has become one the most sought-after skills
in 2018.


Pre-requisites

The course assumes that the student has no prior statistical or programming. However, comfort with college level math is must. Student need not know the math but should be comfortable with it.

Duration

30 days

Data Science Syllabus

No Modules for this course
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