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SQL Checklist for Data Analysts ๐Ÿš€

๐ŸŒฑ Getting Started with SQL

๐Ÿ‘‰ Install SQL database software (MySQL, PostgreSQL, or SQL Server)
๐Ÿ‘‰ Set up your database environment and connect to your data

๐Ÿ” Load & Explore Data

๐Ÿ‘‰ Understand tables, rows, and columns
๐Ÿ‘‰ Use SELECT to retrieve data and LIMIT to get a sample view
๐Ÿ‘‰ Explore schema and table structure with DESCRIBE or SHOW COLUMNS

๐Ÿงน Data Filtering Essentials

๐Ÿ‘‰ Filter data using WHERE clauses
๐Ÿ‘‰ Use comparison operators (=, >, <) and logical operators (AND, OR)
๐Ÿ‘‰ Handle NULL values with IS NULL and IS NOT NULL

๐Ÿ”„ Transforming Data

๐Ÿ‘‰ Sort data with ORDER BY
๐Ÿ‘‰ Create calculated columns with AS and use arithmetic operators (+, -, *, /)
๐Ÿ‘‰ Use CASE WHEN for conditional expressions

๐Ÿ“Š Aggregation & Grouping

๐Ÿ‘‰ Summarize data with aggregation functions: SUM, COUNT, AVG, MIN, MAX
๐Ÿ‘‰ Group data with GROUP BY and filter groups with HAVING

๐Ÿ”— Mastering Joins

๐Ÿ‘‰ Combine tables with JOIN (INNER, LEFT, RIGHT, FULL OUTER)
๐Ÿ‘‰ Understand primary and foreign keys to create meaningful joins
๐Ÿ‘‰ Use SELF JOIN for analyzing data within the same table

๐Ÿ“… Date & Time Data

๐Ÿ‘‰ Convert dates and extract parts (year, month, day) with EXTRACT
๐Ÿ‘‰ Perform time-based analysis using DATEDIFF and date functions

๐Ÿ“ˆ Quick Exploratory Analysis

๐Ÿ‘‰ Calculate statistics to understand data distributions
๐Ÿ‘‰ Use GROUP BY with aggregation for category-based analysis

๐Ÿ“‰ Basic Data Visualizations (Optional)

๐Ÿ‘‰ Integrate SQL with visualization tools (Power BI, Tableau)
๐Ÿ‘‰ Create charts directly in SQL with certain extensions (like MySQL's built-in charts)

๐Ÿ’ช Advanced Query Handling

๐Ÿ‘‰ Master subqueries and nested queries
๐Ÿ‘‰ Use WITH (Common Table Expressions) for complex queries
๐Ÿ‘‰ Window functions for running totals, moving averages, and rankings (ROW_NUMBER, RANK, LAG, LEAD)

๐Ÿš€ Optimize for Performance

๐Ÿ‘‰ Index critical columns for faster querying
๐Ÿ‘‰ Analyze query plans and use optimizations
๐Ÿ‘‰ Limit result sets and avoid excessive joins for efficiency

๐Ÿ“‚ Practice Projects

๐Ÿ‘‰ Use real datasets to perform SQL analysis
๐Ÿ‘‰ Create a portfolio with case studies and projects

Here you can find SQL Interview Resources๐Ÿ‘‡
https://t.me/DataSimplifier

Like this post if you need more ๐Ÿ‘โค๏ธ

Share with credits: https://t.me/sqlspecialist

Hope it helps :)
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