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Types of Structured Data Every Data Science Enthusiast should Know

Understanding the taxonomy of data types

Harshit Tyagi
Towards Data Science
5 min readNov 15, 2020

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Photo by Isaac Smith on Unsplash

After making the need for statistics in data science apparent in my previous blog, it’s time to dive right in and get hands-on with understanding the statistical methods. This is going to be a series of blog posts and videos(on my YT channel).

Who are You?

I am starting this series of blogs on statistics and probability to help all the coders and analysts understand these concepts and methods. You are someone who is familiar with Python programming and is trying to get a better grip over statistics to master Data Science skills.

Growth of Data & Data Analysis

We know that Data Analysis has evolved beyond its original expected extent and this has happened because of the rapid development of technology, generation of more and bigger data, aggressive usage of quantitative analysis across a variety of disciplines.

As a result of this infrastructure development, we could reach a stage where we had multiple sources of data like sensors, CRMs, events, text, images, audio, and video.

Unstructured Data

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Towards Data Science
Towards Data Science

Published in Towards Data Science

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Harshit Tyagi
Harshit Tyagi

Written by Harshit Tyagi

Director Data Science & ML at Scaler | LinkedIn's Bestselling Instructor | YouTuber

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