✅ 🔤 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.

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