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Case Study: Ecommerce Analysis in Tableau

IntermediateSkill Level
4.7+
24 reviews
Updated 05/2025
In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, you'll investigate data from an online pet supply company.
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TableauData Visualization3 hours4 videos27 Exercises2,500 XP2,327Statement of Accomplishment

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Course Description

Are you ready to apply your Tableau skills to solve practical business problems? For ecommerce businesses, increasing sales and reducing expenses are top priorities. In this Tableau case study, you'll investigate a dataset from a fictitious online pet supply company called Munchy's.

Use Your Tableau Skills With a Practical Case Study

First, you’ll analyze the sales dataset and find out which products are frequently bought together and in what quantity. You will then make upsell and cross-sell recommendations by building a market basket analysis.

Next, you’ll need to address the fact that shipping costs remain a big expense for online retailers. You’ll work on strategies such as shipping more of the same product to reduce per-unit costs. You will also need to understand where the customers are and what they buy to make recommendations to the management for a new warehouse location.

Analyze The Data and Visualize Your Findings

As you collate your findings, you’ll create calculated fields and various visualizations in Tableau, such as dual-axis graphs, highlight tables, and maps. Finally, you'll use filters and parameters to make your graphs dynamic and combine everything into a story to share your recommendations.

Prerequisites

Analyzing Data in Tableau
1

Data Exploration

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2

Ecommerce Analytics

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3

Visualize Your Analysis

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Case Study: Ecommerce Analysis in Tableau
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Don’t just take our word for it

*4.7
from 24 reviews
75%
21%
4%
0%
0%
  • Justin
    9 days

  • Jihan
    13 days

  • Jie
    16 days

  • TUẤN
    24 days

  • Mohammad
    2 days

    The project contain too much details which both refresh our previous skills and apply them on real world project. The level of the project is intermediate, but I think it should be Intermediate-to-Advance project. Applying skills and working with Tableau smoothly is one of the keys in data science and data analysis, but I think which is more important as a learner or data scientist to know how to think moving in a project from joining using relationships, creating worksheets, building dashboards and storytelling based on the business owners goals defined at the beginning.Make sure to know/learn how to think not only how to apply skills

  • HANG
    25 days

Justin

Jihan

Jie

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