Data Analytics
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Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making.

Admin: @HusseinSheikho || @Hussein_Sheikho
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This channels is for Programmers, Coders, Software Engineers.

0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages

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#𝗦𝗤𝗟 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗖𝗵𝗲𝗮𝘁𝘀𝗵𝗲𝗲𝘁 → 𝗖𝗿𝗮𝗰𝗸 𝗔𝗻𝘆 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗪𝗶𝘁𝗵 𝗧𝗵𝗲𝘀𝗲 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘀

➜ 𝟭. 𝗦𝗤𝗟 𝗝𝗼𝗶𝗻𝘀 → Combine data from multiple tables
🡆 INNER JOIN → Returns matching records from both tables
🡆 LEFT JOIN → Returns all records from the left table + matches from the right
🡆 RIGHT JOIN → Returns all records from the right table + matches from the left
🡆 FULL JOIN → Returns all records from both tables

➜ 𝟮. 𝗗𝗔𝗧𝗔 𝗙𝗜𝗟𝗧𝗘𝗥𝗜𝗡𝗚 → Retrieve specific records efficiently
🡆 WHERE → Filters rows before aggregation
🡆 HAVING → Filters after aggregation
🡆 BETWEEN, IN, LIKE → Advanced filtering

➜ 𝟯. 𝗔𝗚𝗚𝗥𝗘𝗚𝗔𝗧𝗜𝗢𝗡 & 𝗚𝗥𝗢𝗨𝗣𝗜𝗡𝗚 → Summarize data
🡆 GROUP BY → Groups data based on a column
🡆 COUNT, SUM, AVG, MIN, MAX → Perform calculations

➜ 𝟰. 𝗦𝗨𝗕𝗤𝗨𝗘𝗥𝗜𝗘𝗦 & 𝗖𝗧𝗘𝘀 → Break complex queries
🡆 Subquery → Nested query inside another query
🡆 Common Table Expressions (CTE) → Temporary named query

➜ 𝟱. 𝗜𝗡𝗗𝗘𝗫𝗜𝗡𝗚 & 𝗢𝗣𝗧𝗜𝗠𝗜𝗭𝗔𝗧𝗜𝗢𝗡 → Speed up queries
🡆 Indexes → Improve search speed
🡆 EXPLAIN PLAN → Analyze query performance

➜ 𝟲. 𝗔𝗗𝗩𝗔𝗡𝗖𝗘𝗗 𝗦𝗤𝗟 𝗧𝗢𝗣𝗜𝗖𝗦
🡆 Window Functions → RANK, ROW_NUMBER, LEAD, LAG
🡆 Stored Procedures & Triggers → Automate tasks
🡆 Normalization & Denormalization → Optimize database design

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