Hello Python & Data Science: Exploratory Data Analysis (EDA)

Published 2022-06-07
Platform Udemy
Rating 5.00
Number of Reviews 2
Number of Students 1106
Price Free

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Exploratory Data Analysis (EDA) of Super Store Sales with Python

Data scientists help companies interpret and manage data and solve complex problems using expertise in a variety of data. They generally have a foundation in computer science, modeling, statistics, analytics, and math - coupled with a strong business sense. It’s this merging of intelligence and practical knowledge that makes the data scientist so valuable to a company.

Exploratory data analysis (EDA) is used by data scientists to analyze and investigate data sets and summarize their main characteristics, often employing data visualization methods. It helps determine how best to manipulate data sources to get the answers you need, making it easier for data scientists to discover patterns, spot anomalies, test a hypothesis, or check assumptions.

You can learn Exploratory Data Analysis with sample superstore dataset. This is a kind of a simulation where you perform extensive data analysis to deliver insights on how the company can increase its profits while minimizing the losses. Our task is to analyze the sales data and identify weak areas and opportunities for Super Store to boost business growth. By analyzing superstore sales data, we will make recommendations to business questions.

For example,

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