Measure of Central Tendency - Overview

So far, you have learnt about the importance of data visualisation and how to present data visually for numerical and categorical variables using tables and diagrams. Data visualisation offers you the insight that you are looking for immediately, but the information is not always complete. Hence, in most cases, you will need to calculate metrics that provide you with relevant information on the characteristics of a dataset.

The aim of this session is to acquaint you with important measures that can help with representing data. 

In this session

You will take a step forward and learn what insights you can draw by using the different summary metrics for a dataset. The broad topics that you will see in this session include:

• Measures of Central Tendency of a dataset

• Measures of Dispersion of a dataset

• Interquartile Spread

You will learn how to use these metrics of descriptive statistics to draw conclusions regarding the type of distribution followed by a variable.

It is important to have Microsoft Excel installed on your computer. You also need to follow the steps given in this link and activate Data Analysis ToolPak for Excel.

People you will hear from in this session

Thomas Dougherty

Xpert, upGrad 

Thomas has a long association with the field of data science. He has experience of working with data and has taught data science. He is currently an Executive in Residence at a well-known university in Rhode Island, USA. Prior to working as an Executive in Residence, Thomas has led data science teams across many industries, including the travel, telecom, automotive, consulting and investment industries, to name a few.

The transcript of this session is provided below for your reference.

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