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Data Science

Data Science

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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 70 790 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, 70 790 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.

70 790
Obunachilar
-1524 soatlar
-1277 kunlar
-31030 kunlar
Postlar arxiv
📱Data Analysis 📱Learning Data Science

📱Data Analysis 📱Learning Data Science

📱Data Analysis 📱Learning Data Science

📱Data Analysis 📱Learning Data Science

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📱Data Analysis 📱Learning Data Science

📱Data Analysis 📱Learning Data Science

📱Data Analysis 📱Learning Data Science

📱Data Analysis 📱Learning Data Science

📱Data Analysis 📱Learning Data Science

📱Data Analysis 📱Learning Data Science

📂 Full description Many people who work on data science teams will become something other than data scientists. That said, many will become managers and associates who want to gain real business value from your organization's data. These team members need to understand the language of data science so they can ask better questions, understand processes, and help effectively lead their teams and organizations to making better data-driven decisions. In this course, get an introduction to data science for people who aren't planning on working as full-time data scientists. Explore big data concepts, tools, and techniques, including gathering and sorting data, working with databases, understanding structured and unstructured data types, applying statistical analysis, asking critical questions, and telling stories about data. Business coach and author Doug Rose helps you speak the language of data science so that you can guide your organization through the opportunities and limitations in this dramatically growing field.

🔅 Learning Data Science 🌐 Author: Doug Rose 🔰 Level: Intermediate ⏰ Duration: 2h 45m 🌀 Get an introduction to data scienc
🔅 Learning Data Science 🌐 Author: Doug Rose 🔰 Level: IntermediateDuration: 2h 45m
🌀 Get an introduction to data science in this course designed for aspiring professionals in project management and leadership.
📗 Topics: Data Visualization, Data Literacy, Big Data Analytics 📤 Join Data Analysis for more courses

📖 SQL Zero To Hero Mindmap
📖 SQL Zero To Hero Mindmap

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📖 Struggling with SQL commands
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📖 Struggling with SQL commands

📖 7 must-know strategies to scale your database. 1 - Indexing: Check the query patterns of your application and create the r
📖 7 must-know strategies to scale your database. 1 - Indexing: Check the query patterns of your application and create the right indexes. 2 - Materialized Views: Pre-compute complex query results and store them for faster access. 3 - Denormalization: Reduce complex joins to improve query performance. 4 - Vertical Scaling Boost your database server by adding more CPU, RAM, or storage. 5 - Caching Store frequently accessed data in a faster storage layer to reduce database load. 6 - Replication Create replicas of your primary database on different servers for scaling the reads. 7 - Sharding Split your database tables into smaller pieces and spread them across servers. Used for scaling the writes as well as the reads.

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📖 Starter Kit 2025 - Data Analyst
📖 Starter Kit 2025 - Data Analyst

📖 Visualizing a SQL query
📖 Visualizing a SQL query