07 3 Outliers

In this lesson, we explore Outliers in Data Analytics and how to identify them using two powerful statistical tools: the Interquartile Range (IQR) and Box Plots. As a Data Analyst, identifying unusual values is essential, but knowing how to interpret them is even more important. An outlier could indicate a data entry error, an unusual business event, or a valuable insight hiding in your data. 📊 In this video, you'll learn: ✅ What Outliers Are and Why They Matter ✅ Understanding Quartiles (Q1 and Q3) ✅ Calculating the Interquartile Range (IQR) ✅ Using the IQR Rule to Identify Outliers ✅ Reading and Interpreting Box Plots ✅ Applying the 1.5 × IQR Rule ✅ Real-World Business Applications of Outlier Detection Remember: Identifying an outlier is only the beginning. Understanding why it exists is what makes you a better Data Analyst. #Outliers #IQR #BoxPlot #Statistics #DescriptiveStatistics #DataAnalytics #DataAnalyst #Excel #DataCleaning #StatisticalAnalysis #DataAnalysis #LearnStatistics #BusinessIntelligence #DataDrivenDecisionMaking