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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

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Data Science (@sql_databases) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 71 067 obunachidan iborat bo'lib, Taʼlim toifasida 2 281-o'rinni va Hindiston mintaqasida 4 735-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

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06 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -16 ga, so‘nggi 24 soatda esa 26 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

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  • Jalb etish (ER): Auditoriya o‘rtacha 11.78% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.97% ini tashkil etuvchi reaksiyalarni to‘playdi.
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  • Tematik yo‘nalishlar: Kontent database, learning, linkedin, udemy, 029k| kabi asosiy mavzularga jamlangan.

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“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 08 Iyun, 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.

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Data Science
Data Science
71 064
🌟 Are you exploring Data Roles, because this post will help you in identifying a unique focus to each Data Role. Whether you
🌟 Are you exploring Data Roles, because this post will help you in identifying a unique focus to each Data Role. Whether you're into Data Engineering's backbone building or Data Science's advanced modeling, there's a place for everyone in the data world. ✨

Data Science
Data Science
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11 - Extra PostGreSQL with Python

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Data Science
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10 - Conditional Expressions and Procedures

Data Science
Data Science
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09 - Assessment Test 3

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08 - Creating Databases and Tables

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Data Science
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07 - Assessment Test 2

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06 - Advanced SQL Commands

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05 - JOINS

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04 - Assessment Test 1

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03 - GROUP BY Statements

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02 - SQL Statement Fundamentals

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Data Science
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01 - Course Introduction

Data Science
Data Science
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📖 The Complete SQL Bootcamp: Go from Zero to Hero 🌟 4.7 - 223280 votes 💰 Original Price: $74.99 📖 You'll learn how to rea
📖 The Complete SQL Bootcamp: Go from Zero to Hero 🌟 4.7 - 223280 votes 💰 Original Price: $74.99
📖 You'll learn how to read and write complex queries to a database using one of the most in demand skills - PostgreSQL. These skills are also applicable to any other major SQL database, such as MySQL, Microsoft SQL Server, Amazon Redshift, Oracle, and much more. Learning SQL is one of the fastest ways to improve your career prospects as it is one of the most in demand tech skills! In this course you'll learn quickly and receive challenges and tests along the way to improve your understanding!
🔊 Taught By: Jose Portilla, Pierian Training 📤 Download Full Course 📤 Download All Courses

Data Science
Data Science
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📖 Most important SQL commands These key SQL commands are the basics you need to handle and organize data like a pro.
📖 Most important SQL commands
These key SQL commands are the basics you need to handle and organize data like a pro.

Data Science
Data Science
71 064
📖 30 days roadmap to learn Python for Data Analysis 😄👇 Days 1-5: Introduction to Python 1. Day 1: Install Python and a code editor (e.g., Anaconda, Jupyter Notebook). 2. Day 2-5: Learn Python basics (variables, data types, and basic operations). Days 6-10: Control Flow and Functions 6. Day 6-8: Study control flow (if statements, loops). 9. Day 9-10: Learn about functions and modules in Python. Days 11-15: Data Structures 11. Day 11-12: Explore lists, tuples, and dictionaries. 13. Day 13-15: Study sets and string manipulation. Days 16-20: Libraries for Data Analysis 16. Day 16-17: Get familiar with NumPy for numerical operations. 18. Day 18-19: Dive into Pandas for data manipulation. 20. Day 20: Basic data visualization with Matplotlib. Days 21-25: Data Cleaning and Analysis 21. Day 21-22: Data cleaning and preprocessing using Pandas. 23. Day 23-25: Exploratory data analysis (EDA) techniques. Days 26-30: Advanced Topics 26. Day 26-27: Introduction to data visualization with Seaborn. 27. Day 28-29: Introduction to machine learning with Scikit-Learn. 30. Day 30: Create a small data analysis project. Use platforms like Kaggle to find datasets for projects & GeekforGeeks to practice coding problems. ENJOY LEARNING 👍👍

Data Science
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📖 Types of Data Structures
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📖 Types of Data Structures

Data Science
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📱Data Analysis and Databases 📱Excel: Introduction to Formulas and Functions

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🔅 Excel: Introduction to Formulas and Functions 🌐 Author: Curt Frye 🔰 Level: Intermediate ⏰ Duration: 1h 54m 🌀 Get a begi
🔅 Excel: Introduction to Formulas and Functions 🌐 Author: Curt Frye 🔰 Level: Intermediate ⏰ Duration: 1h 54m
🌀 Get a beginner-level introduction to Excel formulas and functions. Learn how to summarize and analyze data using these powerful data analysis features.
📗 Topics: Excel Formulas, Microsoft Excel 📤 Join Data Analysis and Databases for more courses

Data Science
Data Science
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🔢 PostgresSQL CRUD tutorial
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🔢 PostgresSQL CRUD tutorial

Data Science
Data Science
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🖥 Data Storytelling
🖥 Data Storytelling