Endi mavjud! Telegram Tadqiqoti 2025 — yilning asosiy insaytlari 
Data Analytics
Kanalga Telegram’da o‘tish
Perfect channel to learn Data Analytics Learn SQL, Python, Alteryx, Tableau, Power BI and many more For Promotions: @coderfun @love_data
Ko'proq ko'rsatish📈 Telegram kanali Data Analytics analitikasi
Data Analytics (@sqlspecialist) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 109 733 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 1 113-o'rinni va Hindiston mintaqasida 2 324-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 109 733 obunachiga ega bo‘ldi.
27 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 610 ga, so‘nggi 24 soatda esa 45 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 2.51% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.12% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 2 753 marta ko‘riladi; birinchi sutkada odatda 1 230 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 7 ta reaksiya keladi.
- Tematik yo‘nalishlar: Kontent row, sql, analytic, analyst, visualization kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Perfect channel to learn Data Analytics
Learn SQL, Python, Alteryx, Tableau, Power BI and many more
For Promotions: @coderfun @love_data”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 28 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.
109 733
Obunachilar
+4524 soatlar
+1667 kunlar
+61030 kunlar
Postlar arxiv
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1. What is concurrency control in DBMS?
This is a process of managing simultaneous operations in a database so that database integrity is not compromised. The following are the two approaches involved in concurrency control:
Optimistic approach – Involves versioning
Pessimistic approach – Involves locking
2. What is a checkpoint in DBMS and when does it occur?
A checkpoint is a mechanism where all the previous logs are removed from the system and are permanently stored on the storage disk. So, basically, checkpoints are those points from where the transaction log record can be used to recover all the committed data up to the point of crash.
3. What are groups in Tableau?
A group is a combination of dimension members that make higher level categories. For example, if you are working with a view that shows average test scores by major, you may want to group certain majors together to create major categories.
4. How are nested IF statements used in Excel?
The function IF() can be nested when we have multiple conditions to meet. The FALSE value in the first IF function is replaced by another IF function to make a further test.
5. What is a Recursive Stored Procedure?
A stored procedure that calls itself until a boundary condition is reached, is called a recursive stored procedure. This recursive function helps the programmers to deploy the same set of code several times as and when required.
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Join us for an exhilarating Python Singula Meetup Online! 🌐🎉
We bring together Python enthusiasts, developers, and learners from around the world!
🗓️ Date: August 29
⏰Time: 6:00pm CET
🔗 To sign up
📺 The meetup will be broadcasted via YouTube!
Our lineup of esteemed speakers will dive into exciting topics:
▶Discover the reasons behind Python's occasional slowness in specific tasks
▶Learn practical strategies to secure a Hadoop cluster within a large ML team
▶Unleash the power of spatial data with expert feature engineering
📌Subscribe to our Telegram channel, where you can find all the latest announcements for upcoming meetups!
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🔟 Project Ideas for a data analyst
Customer Segmentation: Analyze customer data to segment them based on their behaviors, preferences, or demographics, helping businesses tailor their marketing strategies.
Churn Prediction: Build a model to predict customer churn, identifying factors that contribute to churn and proposing strategies to retain customers.
Sales Forecasting: Use historical sales data to create a predictive model that forecasts future sales, aiding inventory management and resource planning.
Market Basket Analysis: Analyze
transaction data to identify associations between products often purchased together, assisting retailers in optimizing product placement and cross-selling.
Sentiment Analysis: Analyze social media or customer reviews to gauge public sentiment about a product or service, providing valuable insights for brand reputation management.
Healthcare Analytics: Examine medical records to identify trends, patterns, or correlations in patient data, aiding in disease prediction, treatment optimization, and resource allocation.
Financial Fraud Detection: Develop algorithms to detect anomalous transactions and patterns in financial data, helping prevent fraud and secure transactions.
A/B Testing Analysis: Evaluate the results of A/B tests to determine the effectiveness of different strategies or changes on websites, apps, or marketing campaigns.
Energy Consumption Analysis: Analyze energy usage data to identify patterns and inefficiencies, suggesting strategies for optimizing energy consumption in buildings or industries.
Real Estate Market Analysis: Study housing market data to identify trends in property prices, rental rates, and demand, assisting buyers, sellers, and investors in making informed decisions.
Remember to choose a project that aligns with your interests and the domain you're passionate about.
Data Analyst Roadmap
https://t.me/sqlspecialist/379
ENJOY LEARNING 👍👍
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Well done guys, 900+ answered it correctly
Last option was the trap STRINGLENGTH() function doesn't exist in SQL 😄
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Which of the following function is used to capitalize first letter in SQL?
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SQL Interview Questions Part-1
Like if you want more Interview Questions on Data analytics, SQL, R, Python & Power BI 😄👍
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Do you also need data analysis projects and more free courses to be shared in this channel?
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Data Analysis with Excel
👇👇
https://t.me/excel_analyst/2
Power BI DAX Functions
👇👇
https://t.me/PowerBI_analyst/2
All about SQL
👇👇
https://t.me/sqlanalyst/29
Python for data analysis
👇👇
https://t.me/pythonanalyst/26
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Data Analysis with Excel
👇👇
https://t.me/excel_analyst/2
Power BI DAX Functions
👇👇
https://t.me/PowerBI_analyst/2
All about SQL
👇👇
https://t.me/sqlanalyst/29
Python for data analysis
👇👇
https://t.me/pythonanalyst/26
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Useful websites to practice and enhance your Data Analytics skills
👇👇
1. SQL
https://mode.com/sql-tutorial/introduction-to-sql
https://t.me/sqlspecialist/232?single
2. Python
https://www.learnpython.org/
https://bit.ly/3T7y4ta
https://www.geeksforgeeks.org/python-programming-language/learn-python-tutorial
3. R
https://www.datacamp.com/courses/free-introduction-to-r
4. Data Structures
https://leetcode.com/study-plan/data-structure/
https://www.udacity.com/course/data-structures-and-algorithms-in-python--ud513
5. Data Visualization
https://www.freecodecamp.org/learn/data-visualization/
https://www.tableau.com/learn/training/20223
https://www.workout-wednesday.com/power-bi-challenges/
6. Excel
https://excel-practice-online.com/
https://www.w3schools.com/EXCEL/index.php
Join @free4unow_backup for more free courses
ENJOY LEARNING 👍👍
109 733
Which of the following function is used to return length of the string?
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Which of the following anomalies can be eliminated by normalisation?
