Diwali Sales Insights: EDA for Targeted Marketing
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Perform exploratory data analysis (EDA) on Diwali sales data to derive marketing insights. Learn techniques to analyze consumer behavior and segment customers to create effective, targeted marketing strategies during the festive season.
At a Glance
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.
Source: DALL-E
What you’ll learn
- 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
- 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
- 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).
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