Post #2612

✅🔤 A–Z of Data Analyst📊💼 A – Analytics The process of analyzing data to discover insights and support decision-making. B – Business Intelligence (BI) Technologies and tools used to analyze business data (Power BI, Tableau). C – Cleaning (Data Cleaning) Removing errors, duplicates, and inconsistencies from data. D – Dashboard A visual display of key metrics and insights. E – ETL (Extract, Transform, Load) Process of collecting, cleaning, and storing data for analysis. F – Forecasting Predicting future trends using historical data. G – Group By A method to organize data into categories for analysis. H – Hypothesis Testing Testing assumptions using statistical methods. I – Insight Meaningful information derived from data analysis. J – Join Combining data from multiple tables (SQL concept). K – KPI (Key Performance Indicator) A measurable value showing business performance. L – Linear Regression A statistical method used to predict relationships between variables. M – Metrics Quantifiable measures used to track performance. N – Normalization Organizing data to reduce redundancy and improve efficiency. O – Outlier A data point significantly different from others. P – Pivot Table A tool used to summarize and analyze data quickly. Q – Query A request to retrieve data from a database. R – Reporting Presenting data insights through charts and summaries. S – SQL Language used to manage and analyze structured data. T – Trend Analysis Identifying patterns or changes over time. U – Unstructured Data Data without predefined format (text, images). V – Visualization Representing data using charts or graphs. W – Warehousing (Data Warehouse) Central storage of large structured datasets. X – X-axis Horizontal axis in charts representing variables. Y – YoY (Year-over-Year) Comparing data from one year to another. Z – Z-Score Statistical measure showing how far a value is from the mean. Double Tap ♥️ For More