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Content text [S2] B2 Week 2 - Business - Day 3 - Data Analytics Fundamentals.pdf


What we will learn? ● Understanding Business Problem & Metrics ● Importance of clean data in banking analytics (e.g., reducing errors in customer segmentation). ● Common data quality issues: Duplicates, null values, outliers. ● Overview of data preprocessing techniques: Cleaning, filtering, and transforming. ● Tools for cleaning datasets: Excel, Pandas.

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