How to Perform ANOVA analysis in R for Marketing

This report is intended to provide insight about how to use R to perform ANOVA analysis for marketing campaign. In this report, objective is to analyse promotion Campaign data set (“PL_X_SELL”) in R programming language and generate information about the data set. This data exploration report will contain following: Problem Description Importing the dataset using […]

Data Exploration in R with GGPLOT2 & Standard Functions

In this post, we are going to perform high level data exploration in R programming language using GGPLOT2 and its standard plotting functions. So if you are looking on information on how to make plots and graphs in R using ggplot2 or standard r functions, you will find this post useful. You can simply change […]

Business Analytics Part 10- Linear Regression Analysis

In the last chapter, we studied about Regression analysis, its types and walked through concepts of univariate and multivariate analysis. In this chapter, we are going to dive in further in Regression analysis while covering Linear Regression Analysis. Linear Regression Analysis Linear Regression Analysis or popularly called as, Linear analysis is a statistical technique to […]

Business Analytics Part 8-More Data Science & Statistical Concepts

We have already covered many data science and statistical concepts in previous chapters. We will continue with basic and advance data science related statistical concepts with their business applications in this chapter as well. Data Science & Statistical Concepts Skewness Skewness is the measure of the asymmetry or deviation from the symmetry in statistical analysis. […]

Business Analytics Part 7- Descriptive Analysis Vs Inferential Analysis

You have already covered good ground if you have been following this tutorial from beginning but if you haven’t, you can simply use the link for previous chapters at the bottom of each post. So far, we have covered various statistical tests like f test, p test, one way ANOVA, two ANOVA etc. They are […]

Business Analytics Part 6- Two Way Analysis of variance (ANOVA)

In the last chapter about one way ANOVA, we studied how one way ANOVA is used to measure a variable or output or factor for more than two groups at different interval or level. Suppose we instead of one variable, we have two variables. In that case, we will two way ANOVA. Welcome to part […]

Business Analytics Part 3- Variables in Hypothesis & Analysis

Welcome to the Part 3 of Business Analytics where we will dive deeper into variables and their application in data science. In this post, we will further see how they are applied in data science for business analytics purpose. In order to do so, we will look at some of the most basic but important […]

Business Analytics Part 2- Data Science Basics with Statistics

Welcome to the 2nd part of our data science, in this post we will learn about the basic concepts of data science and how to get used to the basic concepts before we delve deeper. You can read the first part here. Data science in nutshell is “Statistic” and a data scientist is a “statistician”. […]

Business Analytics Part 1- Data Science or Big Data

Business Analytics, Big Data, Data Science, Data Analytics & Data mining, these are some of the most buzzing words in the current tech world. Data Science has been termed the sexiest job of the 21st century by Harvard . It is going to be biggest job creator for next couple of decades and jobs which […]