As far as statistical applications are concerned, data analysis can be bifurcated into descriptive statistics, exploratory data analysis (EDA) and confirmatory data analysis (CDA). Data analysis is leveraged in order to glean business intelligence to drive business growth.ĭata mining is also an exercise of data analysis but it focuses on discovering new knowledge for predictive rather than descriptive purposes. In fact, data analysis is something that contemporary business world thrives on. These diverse ways of data analysis are used in different fields such as business, science and even social sciences. There are a variety of ways to carry out data analysis. There is no single way to accomplish this. This kind of a process is what is called Data Analysis. In order to use data to derive actionable intelligence, it needs to be inspected, cleansed and transformed. While data is of vital importance and the world has become data-driven, data in the raw form is not quite useful. Since data is imported into Excel most of the times, it’s interesting how Excel itself can be used to carry out data analysis.īut before we go to data analysis, let’s understand what it entails… What is data analysis? It’s such an integral part of businesses because it can be customized and it can produce effective results quite quickly without any specific technical expertise. It suits any and every kind of business processes whether it’s sales, marketing or anything else. Nearly all major businesses make use of Excel in one way or the other. In the actual application, the world of business has embraced Excel as it is smooth, effective and flexible in the way it can be used. It comes equipped with diverse functionalities such as calculation, graphing tools, pivot tables and a macro programming language called Visual Basic for Applications.
How to carry out data analysis with ExcelĮxcel is basically a spreadsheet that Microsoft developed for the different operating systems such as Windows, macOS, Android and iOS.
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