Post #2622

✅🔤A–Z of Data Analyst Terms📊💻🚀 A – A/B Testing Experiment comparing two versions to see which performs better. B – Business Intelligence (BI) Technologies and processes for analyzing business data. C – Correlation Measure of relationship between two variables. D – Data Cleaning Process of fixing or removing incorrect/incomplete data. E – ETL (Extract, Transform, Load) Process of moving and preparing data for analysis. F – Forecasting Predicting future trends based on historical data. G – Granularity Level of detail in data (daily, monthly, yearly). H – Hypothesis Assumption made for testing using data. I – Insight Meaningful interpretation derived from data analysis. J – Join Combining data from multiple tables. K – KPI (Key Performance Indicator) Metric used to measure performance. L – Linear Regression Statistical method to model relationship between variables. M – Metrics Quantifiable measures used to track performance. N – Normalization Organizing data to reduce redundancy. O – Outlier Data point significantly different from others. P – Pivot Table Tool to summarize and analyze data. Q – Query Request to retrieve specific data. R – Regression Analysis Technique for predicting relationships between variables. S – Segmentation Dividing data into groups for analysis. T – Trend Analysis Identifying patterns over time. U – Unstructured Data Data without predefined format (text, images). V – Visualization Presenting data graphically (charts, dashboards). W – Warehouse (Data Warehouse) Central repository for integrated data. X – X-Axis Horizontal axis in charts. Y – YoY (Year-over-Year) Comparison of metrics from one year to another. Z – Z-Score Statistical measurement of how far a value is from mean. ❤️Double Tap for More