Title [S1] 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.
Welcome! Hi my name is Akmal! As a skilled Business Analytics Analyst, I am thrilled to be part of an international bank in Indonesia where I can put my expertise in data science, analytics, and decision science into practice. LinkedIn: https://www.linkedin.com/in/akmalf/ 3