R Programming Tutorial-R Operators

Share0 Share +10 Tweet0 Get Access to the Machine learning Course!Are you learning R operators? What about loop, function or visualization with R? Anyway, ultimate goal is to learn machine learning. Right? Don’t miss out to this great opportunity to get into machine learning & data science. Enroll today & learn everything about machine learning […]

How to Perform ANOVA analysis in R for Marketing

Share0 Tweet0 Share0 Do you aspire to become a Data scientist? Do you want to move into a high paying career of machine learning & data science? Are you looking to change your job? Do you dream of a better career & life? If you answered“Yes” to any of the above question, you need to […]

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 […]

What is GGPlot2 & How To Use It

Machine learning & Data Science course Are you interested in ggplot2? Or machine learning, data visualization, r programming? Join one of the most comprehensive & affordable machine learning & data science course.  14 Days full money Refund guarantee. Only $11.70 (720 INR) Buy It Now! Ggplot2 is an advance R library designed for creating charts. Ggplot2 […]

Business Analytics Part 10- Linear Regression Analysis

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Business Analytic Part 9-Regression Analysis

Welcome to the chapter 9 of business analytics tutorial where we will start with subjects related to predictive modelling in data science. In this chapter, we will cover Regression analysis and its variants. We will first go through the definitions and concepts and later cover them in detail with case studies to see their real […]

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

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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 5- One Way Analysis of Variance (ANOVA)

As we have already seen been through t test and f test in previous chapters, it is a good time to look at ANOVA in detail. In this chapter we will go through One Way ANOVA. In the last chapter, we have mentioned that t test for independent variable is equivalent to ANOVA if you […]

Business Analytics Part 4- Analysis of variance (ANOVA)

As mentioned in the first tutorial that these chapters are designed to help you learn and train for SAS Business Analyst certification and other data scientist certifications, we are going to first focus on topics which are more relevant for that and then we will explore the vast ocean of statistical concepts. if you have […]

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”. […]