Business Analytics
Analysis of Sales Data of Retail Stores Across America Using Exploratory Data Analysis and Data Visualisation
EDA practice - if you are eyeing a career in data science, this is the first step of your thousand mile journey. Master Exploratory Data Analysis.
Certified by
Luvieen Alva
Representing, Danube Home
Role
Data Analyst
Industry
Retail
No. of Subscribers
174
Level
Intermediate
Time Commitment
60 Hours
Duration
60 days
Tools you’ll learn
Here’s What You Work On
About the Company
Danube Home is a leading furniture retailer in Hyderabad. They offer over 25000 essential products across several furniture categories. The store has been in operation since 1993 and are one of the few furniture retailers in the country who provide their customers with a free interior design consultation.
Explore
the following work techniques
Exploratory data analysis on SQL
Data Visualisation on Tableau
Bridging the gap
Priced at $21 billion India's furniture retail industry is slated to grow by 12% in the five years. Currently the industry is dominated by a few major retailers, but armed with the right model for tracking sales and profits across various geographies would give a furniture retailer the edge they require to strategize for a bigger share of the national market.
Apply
the following skills
Data Analysis
Data preparation
Hypothesis testing
Expected output
In this menternship, you will work with the sales data of retail stores across America to develop a dashboard comparing sales vs profit for multiple product categories across geographies.
Create
the following deliverables
Data preparation of the given dataset
Visual sales dashboard
What you’ll need before starting
SQL, Machine learning
