Derived Metrics Module Summary

Exploratory data analysis (EDA) helps you, as a business analyst, to look beyond data. It is a never-ending process: the more you explore the data, the more the insights that you derive. As a data analyst, you would spend almost 80% of your time understanding the data and solving various business problems through EDA. Therefore, if you have a good understanding of EDA, half the battle is won.

So far in this module, you have learnt the five most crucial aspects of any kind of analysis, that is:

1. Understanding domain

2. Understanding the data and preparing it for analysis

3. Univariate analysis and segmented univariate analysis

4. Bivariate analysis

5. Deriving new metrics from the existing data

Let’s see how Anand looks at EDA.

You can download the lecture notes for the module using the link below. The lecture notes include a summary of the entire module.

So that brings us to the end of the Business Analytics Starter Pack course. You started off with understanding the major jargons of the data industry. Then you learnt how to properly understand a business problem followed by formulating and validating hypotheses. Next, you learnt the anatomy of decisions at the end of which you were sharply able to identify the problems with analytical approaches. 

Post this, things got a little technical when you learnt the basic functionalities and understood how to work with datasets on Excel. But what do you find from data? Insights! Finally, you a somewhat structured approach to performing a full-fledged 'Exploratory Data Analysis' on any given dataset.

That's all folks!