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Business Analytics with R

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Updated On 02 Feb, 19

Overview

R Programming - Business Analytics with R - What is Data Mining ? - Data manipulation in R - Data visualization in R - What is R ? - Importing SPSS Data in R | SPSS Tutorial | Business Analytics with R - Introduction to SAS7BDAT | SAS7BDAT File Tutorial | SAS7BDAT Packages - Introduction to XML | Business Analytics with R | XML Tutorial | XML Tutorial for Beginners - Introduction To Exploratory Data Analysis | Business Analytics with R - Statistical Modeling in Business Analytics with R - Modeling Techniques in Business Analytics with R - Predictive Analytics Process | Business Analytics with R - Cluster Analysis Steps In Business Analytics with R - Who Uses R ? - What is Business Analytics? - Analysis Of Variance in R - Association Rule Mining in R - Understanding Linear Regression in R - Understanding Logistic Regression in R - Introduction to Business Analytics with R - R Programming Language - Installation of R Package - Understanding R Console - Statistical Modeling in Business Analytics with R - Machine Learning with R - Understanding Decision tree in Business Analytics with R - Understanding the Concept of Statistics Essentials for Analytics - Introduction to Data Import - Business Analytics with R | Stages of Analytics | Data Mining | What is R

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Lecture 29: Understanding the Concept of Statistics Essentials for Analytics

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Lecture Details

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httpwww.edureka.cor-for-analytics?utm_source=youtube&utm_medium=referral&utm_campaign=stat-essentials

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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