Data Science
Analysis of Sales Data of Retail Stores Across America Using Exploratory Data Analysis and Data Visualisation
Build a visual dashboard comparing sales and profit across geographies using SQL and Tableau for a furniture retail store 
Luvieen Alva
Representing, Danube Home
About this Menternship
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.

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.

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.


Why take up this Menternship?
On completing this Menternship, you will learn about
You will explore:
Exploratory data analysis on SQL
Data Visualisation on Tableau

You will apply:
Data aggregation and ranking
Model building and deployment

You will create:
Visual sales dashboard  
Expected Output
  1. Results from Queries executed (Filters, Ordering & Joining)
  2. All queries documented (Filters, Ordering & Joining)
  3. All queries documented (Aggregation & Ranking)
  4. Results from Queries executed (Aggregation & Ranking)
  5. All executed plots & charts
  6. Geographical Plots
  7. Dashboards
  8. Data Story
  9. Video of Self
Analysis of Sales Data of Retail Stores Across America Using Exploratory Data Analysis and Data Visualisation
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