- EDA stands for Exploratory Data Analysis. It is an approach to analyzing and summarizing data in order to gain a better understanding of the patterns, relationships, and trends that may exist within the data.
- EDA is an important first step in data analysis, as it helps to identify any outliers, missing data, or other issues that may need to be addressed before more advanced analysis can take place.
- EDA can be done using a variety of techniques, including statistical analysis, visualization, and data mining.
- The goal of EDA is to uncover insights and patterns in the data that can be used to inform further analysis or decision-making.
The terms Data Analysis and Data Analytics are often used interchangeably However it is important to note that there is a subtle difference between the terms and meaning of the words Analysis and Analytics . In fact some people go far as saying that these terms mean different things and should not be used interchangeably. Yes, there is a technical difference... The dictionary meanings are: Analysis - detailed examination of the elements or structure of something Analytics - the systematic computational analysis of data or statistics Analysis can be done without numbers or data, such as business analysis psycho analysis, etc. Whereas Analytics , even when used without the prefix "Data", almost invariably implies use of data for perfoming numerical manipulation and inference. Some experts even say that Data Analysis is based on inferences based on historical data whereas Data Analytics is for predicting future performance. The design team of this course does not subsc...
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