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Analyzing the sinking of the Titanic – Data Analysis with Python (Course V)

Analyzing the sinking of the Titanic – Data Analysis with Python (Course V)

What is Exploratory Data Analysis (EDA)?

Whenever a data scientist receives a new dataset, does he/she start building a Machine Learning model directly?

Well, the answer is no. They start exploring the dataset in a quest to better understand the different features present in the dataset and their relationship to each other. In other words, they perform Exploratory Data Analysis or simply, EDA.

As a formal definition, Exploratory Data Analysis (EDA) is an approach for data analysis that makes use of various analytical and graphical techniques to:

  • better understand the data
  • extract important variables for data modelling
  • detect outliers and anomalies
  • generate and test a (or multiple) hypothesis hypotheses about the data

A good data scientist has excellent EDA skills and in this course, we will be focusing on harnessing that within you.

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