January 13, 2015
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.
January 4, 2015
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.
December 29, 2014
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.
December 28, 2014
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.
December 22, 2014
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 in data science, hypothesis testing, p-value and t-tests.
December 19, 2014
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.
December 18, 2014
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 .
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