Master the Essentials of Statistics for Data Analytics 📊 | Edureka

( R Training : https://www.edureka.co/r-for-analytics )
Statistics is the study of the collection, analysis, interpretation, presentation and organization of data.
In applying statistics to e.g. a scientific, industrial, or societal problem, it is necessary to begin with a population or process to be studied. The blog helps us understand the concept of statistics Essentials for Analytics

The following topics will be covered in this video:

1.Few important terminologies
2.Famous sampling Bias
3.Understanding Exploratory Analysis
4.Measures Of center
5.Measures of spread
6.How to calculate variance
7.Standard Deviation
8.Interquartile range


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The topics related to Business Analytics are extensively covered in our ‘Business Analytics with R’ course.

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