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  1. The Analyst@dev_awizee
    Free 30-day Data Analysis starter plan for absolute beginners (Excel + SQL focus) Day 1–7: Excel basics + Pivot Tables Day 8–14: Clean data + formulas Day 15–21: SQL SELECT, WHERE, GROUP BY Day 22–30: Mini projects Reply “ROADMAP” #DataAnalysis #SQLTips #ExcelTips
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    11642993
  2. The Analyst@dev_awizee
    SQL Golden Rule: Always filter with WHERE before GROUP BY. Wrong: SELECT Department, COUNT(*) FROM Employees GROUP BY Department WHERE Salary > 50000 Right: Put WHERE before GROUP BY. Small change, big performance. Save! #SQLTips #DataAnalysis
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    09471.6K
  3. The Analyst@dev_awizee
    SQL Tip for beginners: Always use LIMIT 10 or TOP 10 when testing queries. Save yourself from crashing your system with millions of rows 😂 Small habits = big respect from seniors. Reply 'SQL' for my full beginner roadmap. #SQLTips #DataAnalysis
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    1330727
  4. The Analyst@dev_awizee
    Excel users who want to learn SQL: Think of SQL WHERE like Excel AutoFilter. Think of GROUP BY like Pivot Table. Same logic, different language. You already know half of it. Reply “SWITCH” for my Excel-to-SQL translation sheet. #ExcelTips #SQLTips #DataAnalysis
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    611861.5K
  5. Omegabundle@omegabundle
    New to SQL or brushing up on the basics? This clear, beginner-friendly guide explains exactly what SQL is and why it matters. Perfect starting point! #LearnToCode #sqltips
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    911182
  6. The Analyst@dev_awizee
    SQL Tip for Beginners: Never use SELECT * in real projects! Instead: SELECT CustomerName, OrderDate, Amount FROM Orders WHERE OrderDate >= '2026-01-01'; Cleaner, faster, and professional. Who wants my SQL Roadmap? Reply 'SQL' 🔥 #SQLTips #DataAnalysis #BeginnerData
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    1313486
  7. The Analyst@dev_awizee
    SQL JOINs made simple for beginners: INNER JOIN = Only matching records (like perfect couples 😂) LEFT JOIN = All from left table + matches from right Example with customer orders coming soon. Save this! #SQLTips #DataAnalysis
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    0223469
  8. The Analyst@dev_awizee
    SQL tip that saved me hours: Instead of writing long WHERE conditions, use IN. SELECT * FROM sales WHERE product_id IN (101, 102, 105); Cleaner and faster. Drop a “SQL” if you want more beginner query tips. #SQLTips #DataAnalysis
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    10363
  9. The Analyst@dev_awizee
    I still see beginners writing 10-line queries when 3 lines will do. Here’s the cleanest way to start every SQL query (beginner-friendly): SELECT FROM WHERE Bookmark this. Reply SQL for the full beginner SQL roadmap + 10 practice queries. Thread below #SQLTips #DataAnalysis
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    0420384
  10. The Analyst@dev_awizee
    Quick poll for data beginners in Naija What's your BIGGEST struggle right now? A. Excel formulas B. SQL queries C. Understanding Power BI D. Finding time to learn (with NEPA wahala 😂) Vote and reply with your choice! I'll share targeted tips. #DataAnalysis #SQLTips #PowerBI
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  11. The Analyst@dev_awizee
    SQL for beginners: Always use COUNT(*) instead of COUNT(column) when you want total rows. Small mistake = wrong insights for your manager. Pro move: Learn CASE WHEN for custom grouping (e.g. salary brackets). Reply 'SQL' for examples. #SQLTips #NaijaDataGuy
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    14321.1K
  12. The Analyst@dev_awizee
    True or False for Data beginners in Nigeria: You can land your first Data Analyst role with just Excel + SQL (no Python yet) Vote and reply why 👇 This is what I tell my Abuja mentees every time! #DataAnalysis #SQLTips #ExcelTips
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  13. The Analyst@dev_awizee
    Quick poll for data beginners: Which tool are you learning right now? Excel SQL Python Power BI Vote + tell me why in the replies. I’ll drop free resources for the winning tool later today. #DataAnalysis #ExcelTips #SQLTips #PowerBI
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  14. The Analyst@dev_awizee
    Be honest beginners Which one still confuses you the most right now? A) VLOOKUP / XLOOKUP B) SQL JOINs C) Power BI relationships D) Python pandas Vote + tell me why in the replies. I’ll drop a mini-explanation for the winner later today. #DataAnalysis #ExcelTips #SQLTips
    62221.2K
  15. The Analyst@dev_awizee
    SQL tip beginners miss: COUNT(*) counts all rows. COUNT(column) ignores NULLs. Use COUNT(*) when you want total records. Use COUNT(column) when you want non-empty values only. Small difference, big accuracy impact. Save this. #SQLTips #DataAnalysis
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  16. The Analyst@dev_awizee
    SQL Tip: Always use COUNT(*) with GROUP BY to know your data distribution. Example: SELECT state, COUNT(*) as customer_count FROM customers GROUP BY state ORDER BY customer_count DESC; Perfect for seeing which states bring more business Try it! Reply 'SQL' for more #SQLTips
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    04341.4K
  17. Joseph Machado✓@startdataeng
    Generate a range of number/date rows in SQL with GENERATE_SERIES Use cases: 1. Reporting on all dates: If your data does not have every date, but you want to report on them, use this. 2. Looping over series of values like numbers or dates #data #SQLtips #dataengineering
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    93181.5K
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