Introduction to Data Anaysis (Pandas)

Published: 19 November 2020
on channel: Practical Python Solutions
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In this series of videos, we’ll learn how to use Python and data analysis. Data analysis is a broad term that involves processing and transforming data to analyze and make decisions with.

This is a key function when writing code - and Python does this easily and well …. mostly because of the great libraries and resources available to it for this purpose

The software library that we’ll be mostly using here is called pandas. Specifically, we’ll be working with pandas dataframes, which is a data structure with columns and rows, that allow us to easily import and work with data from common formats such as CSV, Excel, JSON and even SQL.


In this first video, we are going to do two things; we’ll install Pandas with some other libraries to work with sample data.

We’ll also introduce a graphical user interface or GUI to our code to make file management easier.

In the following videos in this course, we’ll learn how to slice and dice pandas dataframes for our data mining.


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