Data Science
Kanalga Telegram’da o‘tish
Learn how to analyze data effectively and manage databases with ease. Buy ads: https://telega.io/c/sql_databases
Ko'proq ko'rsatish📈 Telegram kanali Data Science analitikasi
Data Science (@sql_databases) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 70 803 obunachidan iborat bo'lib, Taʼlim toifasida 2 261-o'rinni va Hindiston mintaqasida 4 562-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 70 803 obunachiga ega bo‘ldi.
26 Avgust, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -310 ga, so‘nggi 24 soatda esa -15 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 11.21% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.74% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 7 934 marta ko‘riladi; birinchi sutkada odatda 1 943 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 0 ta reaksiya keladi.
- Tematik yo‘nalishlar: Kontent database, learning, linkedin, udemy, 029k| kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Learn how to analyze data effectively and manage databases with ease.
Buy ads: https://telega.io/c/sql_databases”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 27 Avgust, 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.
70 803
Obunachilar
-1524 soatlar
-1277 kunlar
-31030 kunlar
Postlar arxiv
70 803
🔅 Python in Excel: Getting Started with Data Analysis
📝 Explore the core concepts and fundamental skills of working with data using Python in Microsoft Excel.
🌐 Author: Joe Marini
🔰 Level: Intermediate
⏰ Duration: 1h 40m
📋 Topics: Data Analysis, Microsoft Excel, Python
🔗 Join Data Analysis for more courses
70 803
📊 Your Data Analyst journey doesn’t start with tools — it starts with a roadmap.
From mastering Excel & SQL ➝ understanding statistics ➝ working with Python & visualization tools ➝ building real-world projects — a clear Data Analyst roadmap can save you months of confusion and wrong learning choices.
If you’re serious about breaking into analytics in 2026, you don’t need random tutorials. You need structured learning, hands-on practice, and industry-relevant skills.
70 803
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+1
80% of data problems can be solved with just 16 SQL functions.
I’ve been working with data for years and this truth keeps proving itself:
You don’t need fancy tools.
You need to master the fundamentals.
For data analysts, data scientists, and data engineers:
SQL isn’t optional.
Because data lives in databases.
And databases speak SQL-ish.
Most problems fall into 2 categories:
Aggregate functions (summarise data):
SUM() - Total revenue
COUNT() - Total orders
AVG() - Average purchase value
MIN() - Smallest sale
MAX() - Biggest transaction
STRING_AGG() - Combine text values
Window functions (compare rows):
ROW_NUMBER() - Pagination
RANK() - Leaderboards with ties
DENSE_RANK() - Performance tiers
NTILE() - Split into quartiles
LEAD() - Compare current vs next
LAG() - Compare current vs previous
FIRST_VALUE() - Highest value per group
LAST_VALUE() - Lowest value per group
SUM() OVER() - Running totals
AVG() OVER() - Moving averages
Aggregates collapse rows → one summary result
Window functions keep all rows → add calculations across them
70 803
🔅 MySQL Installation and Configuration
📝 Learn how to install and configure MySQL on various platforms, including Mac and Windows.
🌐 Author: Bill Weinman
🔰 Level: Intermediate
⏰ Duration: 1h 20m
📋 Topics: MySQL, Database Administration
🔗 Join Data Analysis for more courses
70 803
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If you’re thinking of starting a career in data science but not sure where to begin, 🤔 don’t worry—I’ve got you covered! 🙌
Here’s a list of platforms that can help you learn 📚, practice 💻, and ace your interviews.
Whether you’re diving into online courses 🧑🏫, looking for datasets 📊 to build your projects, or sharpening your coding skills 💡 for interviews, these resources are perfect for you.
70 803
🔅 Hands-On Advanced Python: Data Engineering Basics
📝 Practice applying advanced concepts and coding moves in Python in this hands-on, interactive course with coding challenges in CoderPad.
🌐 Author: Joe Marini
🔰 Level: Advanced
⏰ Duration: 1h 56m
📋 Topics: Python
🔗 Join Data Analysis for more courses
