π Introduction to the Project: Get an overview of the Zomato data analysis project and its objectives.
π οΈ Data Collection: Learn how to gather and preprocess the Zomato dataset for analysis.
π Exploratory Data Analysis (EDA): Dive into EDA techniques to understand the dataset, identify patterns, and detect anomalies.
π Data Visualization: Discover how to create insightful visualizations to effectively communicate your findings.
π Statistical Analysis: Apply statistical methods to analyze the data and extract meaningful insights.
π Real-World Applications: Understand the practical applications of your analysis in the food and restaurant industry.
π Project Summary: Summarize the findings and insights gained from the analysis
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