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SQL For Data Analytics

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This channel covers everything you need to learn SQL for data science, data analyst, data engineer and business analyst roles.

Ko'proq ko'rsatish

Hindiston36 190 Taʼlim19 141...

📈 Telegram kanali SQL For Data Analytics analitikasi

SQL For Data Analytics (@mysqldata) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 10 515 obunachidan iborat bo'lib, Taʼlim toifasida 19 141-o'rinni va Hindiston mintaqasida 36 190-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 10 515 obunachiga ega bo‘ldi.

28 Oktabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -78 ga, so‘nggi 24 soatda esa -5 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

Tasdiqlash holati: Tasdiqlanmagan
Jalb etish (ER): Auditoriya o‘rtacha 15.03% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 5.05% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 1 580 marta ko‘riladi; birinchi sutkada odatda 531 ta ko‘rish yig‘iladi.
Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 3 ta reaksiya keladi.
Tematik yo‘nalishlar: Kontent sql, analyst, database, engineering, greeting kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“This channel covers everything you need to learn SQL for data science, data analyst, data engineer and business analyst roles.”

Yuqori yangilanish chastotasi (oxirgi ma’lumot 29 Oktabr, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Taʼlim toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

10 515

Obunachilar

-524 soatlar

-207 kun

-7830 kun

1 580

Post ko'rishlar

~ 53124 soatlar

~ 77748 soatlar

15.03%

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Ma'lumot yo'q

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If you want to be a data analyst, you should work to become as good at SQL as possible. 📱 1. SELECT What a surprise! I need to choose what data I want to return. 2. FROM Again, no shock here. I gotta choose what table I am pulling my data from. 3. WHERE This is also pretty basic, but I almost always filter the data to whatever range I need and filter the data to whatever condition I’m looking for. 4. JOIN This may surprise you that the next one isn’t one of the other core SQL clauses, but at least for my work, I utilize some kind of join in almost every query I write. 5. Calculations This isn’t necessarily a function of SQL, but I write a lot of calculations in my queries. Common examples include finding the time between two dates and multiplying and dividing values to get what I need. Add operators and a couple data cleaning functions and that’s 80%+ of the SQL I write on the job. React ♥️ for more

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SQL INDEXES & QUERY PERFORMANCE

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SQL Views 💯

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The Secret to learn SQL: It's not about knowing everything It's about doing simple things well What You ACTUALLY Need: 1. SELECT Mastery * SELECT * LIMIT 10 (yes, for exploration only!) * COUNT, SUM, AVG (used every single day) * Basic DATE functions (life-saving for reports) * CASE WHEN 2. JOIN Logic * LEFT JOIN (your best friend) * INNER JOIN (your second best friend) * That's it. 3. WHERE Magic * Basic conditions * AND, OR operators * IN, NOT IN * NULL handling * LIKE for text search 4. GROUP BY Essentials * Basic grouping * HAVING clause * Multiple columns * Simple aggregations Most common tasks: * Pull monthly sales * Count unique customers * Calculate basic metrics * Filter date ranges * Join 2-3 tables Focus on: * Clean code * Clear comments * Consistent formatting * Proper indentation Here you can find essential SQL Interview Resources👇 https://t.me/mysqldata Like this post if you need more 👍❤️ Hope it helps :) #sql

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SQL Set Operators

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SQL changes slowly. AI doesn’t.

If you work with data, analytics or engineering, it’s getting harder to ignore what’s happening with new models, agents and APIs.

AI Posted follows OpenAI, Anthropic, Google DeepMind, Meta and the technical shifts around them — without turning it into another endless feed of AI tools. Join @ai_posted

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