At a Glance

Name: Diwali Sales Insights: EDA for Targeted Marketing
Price: Free CAD
Rating: 5.0 (3 reviews)
Author: kunal_makwana, faranak_heidari, hailey_quach

Uncover Diwali sales trends in 30 minutes! Learn EDA and clustering with Python to drive data-backed marketing strategies that boost festive sales. Using Pandas, Seaborn, Scikit-learn, and Matplotlib, explore customer segmentation to tailor your approach and enhance profitability. This hands-on project transforms raw data into actionable insights, empowering you to make informed decisions that amplify Diwali sales success and optimize inventory. Ideal for data enthusiasts, marketers, and business owners looking to achieve impactful results.

Understanding Diwali sales patterns isn't just a skill—it's a golden opportunity for businesses to tap into the vast consumer enthusiasm that defines this festive season. Imagine a business owner preparing for Diwali: how many orders will pour in from different parts of the country? which product categories will be a hit? how should they stock inventory? These are just a few of the strategic decisions that can make or break sales success—all requiring data. Through Exploratory Data Analysis (EDA) and clustering with Python’s powerful libraries (Pandas, Matplotlib, Scikit-learn, and Seaborn), you’ll gain actionable insights that support confident, data-driven decisions.

In this guided project, we’ll walk through a practical analysis of Diwali sales data, uncovering insights into consumer behavior and purchasing trends. You’ll gain hands-on experience with EDA and clustering to identify key customer segments, enabling targeted marketing and efficient resource allocation. By handling large datasets, highlighting high-impact metrics, and creating compelling visualizations, you’ll uncover valuable insights that drive strategic planning. Whether you're a data science enthusiast, a marketing professional, or a business owner, this project will empower you to make data-driven decisions that can drive success during the most critical sales periods.

Source: DALL-E

What you'll learn

By the end of this project, you will be able to:

Analyze and manipulate data using Python’s Pandas library for efficient EDA.
Identify key sales metrics to extract actionable insights into consumer behavior.
Visualize data with Matplotlib and Seaborn to tell data-driven stories.
Leverage clustering to segment customers, enabling personalized marketing strategies and optimized inventory planning.

Who should complete this project

This project is ideal for:

Data enthusiasts who want hands-on experience with Python libraries for analysis, visualization, and clustering.
Marketing professionals seeking data-driven insights for tailored campaign strategies.
Business owners and retail managers preparing for high-demand periods who need guidance on inventory, marketing, and staffing.
Students and learners interested in building foundational skills in EDA, clustering, and data storytelling for real-world applications.

What you'll need

Before you begin this project, make sure you have:

A basic understanding of Python programming.
Familiarity with foundational data analysis concepts.
Access to a computer with a modern web browser (Chrome, Edge, Firefox, Internet Explorer, or Safari).

Take the first step toward uncovering the secrets of Diwali sales success and using data to inform strategic decisions in the real world.

Offered By: IBMSkillsNetwork

Diwali Sales Insights: EDA for Targeted Marketing

At a Glance

What you'll learn

Who should complete this project

What you'll need

Upskill with exclusive learning resources