Explore Data Analysis in Python | Superstore Sales Analysis | Step-by-Step Guide

Описание: Do you want to know how to analyze Superstore sales data? If so, then this data analysis tutorial is for you! In this video, we'll walk you through the steps needed to analyze sales data from a Superstore.

We will be using Python to perform an exploratory data analysis to uncover insights into the store’s sales trends and patterns. We will also be answering questions such as which category is best selling and most profitable, what are the best selling and most profitable sub-category, which is the top selling sub-category, which customer segment is most profitable.
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0:43 - Importing Python Libraries
2:15 - Importing the dataset
8:59 - Analyzing shape of Dataset
11:55 - Data Cleaning filling empty columns
16:32 - Data Description
19:35 - Data cleaning Duplicates
25:02 - Exploratory Data Analysis
25:20 - Customer Segmentation
37:58 - Sales Per Customer Segment
41:31 - Customer Loyalty
49:05 - Geographical Analysis of Customers and Sales
1:02:06 - Product Category Segmentation
1:08:31 - Sales Per Product Category
1:11:40 - Sales according to individual products
1:18:07 - Sales Trends Analysis
1:30:07 - Quarterly Sales
1:38:10 - Monthly Sales Trends for 2018

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