Basically, there is nothing you can do in Stata that you can't do in R, but there is lots in R that you can't find in Stata, Stata is faster than R,And R is makes for a nice transition into other programming languages like Python. For more info: https://datamites.com/data-science-course-training-chennai/

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R or Stata? Part-1
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2. Data Science has a good share of Statistics, and therefore it
is crucial to know it’s role in the analysis of data. However,
when we talk about statistics, the tool which comes into
our mind is ‘R’. Our choices often tend to oscillate when it
comes to choosing between R and Stata for data analysis.
Let’s take a look at the various functional possibilities that
R and Stata has on Data Science.
Introduction
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3. What is R ?
R is a widely preferred programming
language, second to Python, used for
performing statistical computations. It was
first introduced in 1980. However,the official
release came in the mid 1990s
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4. Advantages of R
1). Open Source
2). Data Wrangling
3). Machine Learning Operations
4). Array Packages
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5. Applications of R
➔ R is great tool when it comes to summarising of
data. It is also used for measuring central
tendency, Skewness.
➔ It also facilitate in hypothesis testing and in
validating statistical models.
➔ R is the best tool for conducting exploratory data
analysis, and also consists of a visualisation library.
➔ R consists of a web application package known as
‘Eshiny ‘. These can be used for developing web
applications which can be embedded to web
pages.
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