#Sql Null Data Type

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Comment “SQL” and I’ll send it. If you’re serious about working with data, you can’t avoid SQL. This guide shows what actually matters, plus hands-on resources to practice it right away.

COUNT vs COUNT(*) - Don't get confused in SQL⚡ ➡️COUNT(column_name) Counts only non-NULL values NULL values are ignored ➡️COUNT(*) Counts all rows in the table Includes rows with NULLS 🧠Remember this: 👉Need total records? COUNT(*) 👉Need valid values only? COUNT(column) 💡Interview-friendly & super common SQL concept! Follow for more -) @python_code_pro #SQL #DataAnalytics #SQLBasics #DataAnalyst #LearningSQL [SQL SQLLearning SQLTips SQLInterview DataAnalytics DataAnalyst LearnSQL Database TechReels Programming CodingLife DeveloperLife OracleSQL PLSQL OracleEBS FresherJobs InterviewPreparation CareerInTech ITJobs SoftwareEngineer CodeNewbie DailyLearning TechEducation ReelsIndia ExplorePage ViralReels StudyWithMe TechContent InstaTech KnowledgeSharing]

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In SQL, NULL represents missing or unknown data. Remember: use IS NULL and IS NOT NULL Do not use = 🚫 #insta #tech #sql #techtips #viralreels

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SQL enforces structure upfront, while NoSQL lets your data evolve naturally. #engineering #programming #coding #computerscience #database

🗄️ SQL Command Types Explained 🧱 DDL (Data Definition Language) Defines database structure. Examples: CREATE, ALTER, DROP, TRUNCATE ✍️ DML (Data Manipulation Language) Works with table data. Examples: INSERT, UPDATE, DELETE, SELECT 🔐 DCL (Data Control Language) Controls access and permissions. Examples: GRANT, REVOKE 🔄 TCL (Transaction Control Language) Manages database transactions. Examples: COMMIT, ROLLBACK, SAVEPOINT #SQL #DDL #softwareengineer #coder #Database #DBMS #CodingReels #LearnSQL #ComputerScience

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SQL concepts you need to know vs. don’t need to know… for your first Data Analyst job. ✅ Must know SQL concepts 1. SELECT statements 2. WHERE clauses 3. GROUP BY 4. ORDER BY 5. JOINs (INNER, LEFT, RIGHT, FULL) 6. Aggregate functions (COUNT, SUM, AVG, etc) 7. Aliases (AS) 8. Filtering with HAVING 9. Subqueries 10. CASE WHEN logic 11. Data types (VARCHAR, INT, DATE, etc.) 12. NULL handling (IS NULL, COALESCE) 13. LIMIT / OFFSET 14. Basic date functions (e.g., DATE_TRUNC, CURRENT_DATE) 15. UNION vs UNION ALL 16. Basic window functions (ROW_NUMBER, RANK, PARTITION BY) ❌ Nice-to-know (i.e. not a requirement) SQL concepts 1. Recursive CTEs 2. Pivot/Unpivot 3. Temporary tables 4. Indexing and query optimization 5. Stored procedures 6. Triggers 7. Views and materialized views 8. Permissions and user management 9. JSON parsing in SQL 10. Writing custom functions 11. Database normalization theory (3NF etc.) 12. Query execution plans Repost if this was helpful for you! #dataanalyst #dataanalytics #sql #datascience

Let’s get DIRTY!! 😉 It’s gonna be 80% of your job! Comment “clean” for my SQL skills cheat sheet, perfect for data projects and interview prep! Save these 4 tips to handle messy datasets w/ ease 😮‍💨 • Clean strings: remove extra spaces, weird quotes, and fix casing • Fix dates: standardize formats and remove stray characters • Recode variables: turn “CA”, “California”, and “calif” into one consistent value • Handle NULLs: don’t let missing data mess with your analysis #data #datacleaning #sql 🏷️ data, data cleaning, sql, data analytics, data science

Learn SQL with these videos By @emrcodes #coding #programmer #sql