Data Analyst Interview Resources
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Сітка:📈 Аналітичний огляд Telegram-каналу Data Analyst Interview Resources
Канал Data Analyst Interview Resources (@dataanalystinterview) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 52 588 підписників, посідаючи 3 255 місце в категорії Освіта та 6 609 місце у регіоні Індія.
📊 Показники аудиторії та динаміка
З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 52 588 підписників.
За останніми даними від 15 вересня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на -70, а за останні 24 години на -11, загальне охоплення залишається високим.
- Статус верифікації: Не верифікований
- Рівень залученості (ER): Середній показник залученості аудиторії становить 1.82%. Протягом перших 24 годин після публікації контент зазвичай збирає 0.79% реакцій від загальної кількості підписників.
- Охоплення публікацій: В середньому кожен допис отримує 957 переглядів. Протягом першої доби публікація в середньому набирає 415 переглядів.
- Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 4.
- Тематичні інтереси: Контент зосереджений навколо ключових тем, таких як sql, row, |--, dataset, visualization.
📝 Опис та контентна політика
Автор описує ресурс як майданчик для висловлення суб'єктивної думки:
“Join our telegram channel to learn how data analysis can reveal fascinating patterns, trends, and stories hidden within the numbers! 📊
For ads & suggestions: @love_data”
Завдяки високій частоті оновлень (останні дані отримано 16 вересня, 2026), канал підтримує актуальність та високий рівень охоплення публікацій. Аналітика показує, що аудиторія активно взаємодіє з контентом, що робить його важливою точкою впливу в категорії Освіта.
52 588
Підписники
-1124 години
-247 днів
-7030 днів
Архів дописів
🚀 Complete SQL Roadmap 🗄🔥
🧠 STEP 1: Learn SQL Basics
✔ What is SQL?
✔ Databases & Tables
✔ SELECT Statement
✔ WHERE Clause
✔ ORDER BY
🛠 Databases to Practice:
✔ MySQL
✔ PostgreSQL
✔ SQL Server
📊 STEP 2: Learn Filtering & Aggregation
✔ DISTINCT
✔ LIMIT & TOP
✔ COUNT, SUM, AVG
✔ MIN & MAX
✔ GROUP BY & HAVING
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✔ INNER JOIN
✔ LEFT JOIN
✔ RIGHT JOIN
✔ FULL JOIN
✔ SELF JOIN
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✔ Relationships
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✔ ROW_NUMBER()
✔ RANK()
✔ DENSE_RANK()
✔ LEAD() & LAG()
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✔ MySQL Workbench
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💡 SQL Notes: https://whatsapp.com/channel/0029VbCyzS02ZjCwoShXXc2j
💬 Tap ❤️ if this helped you!
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🚀 Roadmap to Master Power BI in 30 Days! 📊💡
📅 Week 1: Basics Interface
🔹 Day 1–2: What is Power BI? Setup Interface Tour
🔹 Day 3–4: Data import (Excel, CSV, SQL)
🔹 Day 5–7: Data transformation using Power Query (cleaning, filtering)
📅 Week 2: Data Modeling DAX
🔹 Day 8–9: Relationships between tables
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🔹 Day 12–14: Calculated columns measures
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𝗧𝗼𝗽 𝟱 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗞𝗶𝗰𝗸𝘀𝘁𝗮𝗿𝘁 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗖𝗮𝗿𝗲𝗲𝗿 📊
Want to start a career in Data Science without spending money?
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𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗙𝗥𝗘𝗘 𝗢𝗻𝗹𝗶𝗻𝗲 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 😍
💫Accelerate your career in Data Science
💫Discover the skills, tools and career roadmap needed to enter this high-demand field.
🔥 Beginner-friendly online session—no prior experience required!
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(Only few slots left )
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⏰ Time: 7:00 PM
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🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 👇:-
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🔥 Perfect for Students • Freshers • Job Seekers
🔥 SQL Interview Question of the Day
📌 Scenario:
A streaming platform wants to find the most watched movie in each genre.
You have one table:
watch_history
• user_id
• movie_id
• movie_name
• genre
• watch_time_minutes
☑ Solution:
SELECT
genre,
movie_name,
total_watch_time
FROM (
SELECT
genre,
movie_name,
SUM(watch_time_minutes) AS total_watch_time,
RANK() OVER (
PARTITION BY genre
ORDER BY SUM(watch_time_minutes) DESC
) AS rnk
FROM watch_history
GROUP BY genre, movie_name
) t
WHERE rnk = 1;
💡 Concept Tested:
Window Functions + RANK() + GROUP BY + Aggregate Functions
❤️ React if you want more SQL interview questions.
🚀 𝗙𝗥𝗘𝗘 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝘁𝗼 𝗟𝗲𝗮𝗿𝗻 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 📊
Want to build a career in Data Analytics but don’t know where to start? Learn the most important skills completely FREE with these expert YouTube resources.
🔥 Learn → Practice → Build Projects → Become Job-Ready
🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 👇:-
https://pdlink.in/4ysm4XS
🎯 Perfect for Students • Freshers • Job Seekers • Aspiring Data Analysts
🔥 Power BI Interview Question of the Day
📌 Scenario:
A sales manager wants to compare each product's sales with the average sales of its category.
You have one table:
sales
• product_id
• category
• sales_amount
☑ Solution (DAX):
Category Avg Sales =
CALCULATE(
AVERAGE(sales[sales_amount]),
ALLEXCEPT(sales, sales[category])
)
Sales vs Category Avg =
sales[sales_amount] - [Category Avg Sales]
💡 Concept Tested:
CALCULATE() + ALLEXCEPT() (Calculating Category-Level Averages)
❤️ React if you want more Power BI interview questions.
🚀 𝗙𝗥𝗘𝗘 𝗖𝗶𝘁𝗶 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝘀 😍 | Boost Your Resume
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🔥 Learn → Complete Projects → Earn Certificate → Strengthen Your Resume
🔥 SQL Interview Question of the Day
📌 Scenario:
A food delivery company wants to find the average delivery time taken by each city.
You have one table:
deliveries
• delivery_id
• customer_id
• city
• order_time
• delivery_time
☑ Solution:
SELECT
city,
AVG(
TIMESTAMPDIFF(MINUTE, order_time, delivery_time)
) AS avg_delivery_time
FROM deliveries
GROUP BY city
ORDER BY avg_delivery_time;
💡 Concept Tested:
GROUP BY + Date Time Functions + Aggregate Functions
(Calculating Performance Metrics From Time-Based Data)
❤️ React if you want more SQL interview questions.
🚀 𝗠𝗮𝘀𝘁𝗲𝗿 𝗜𝗻-𝗗𝗲𝗺𝗮𝗻𝗱 𝗧𝗲𝗰𝗵 𝗦𝗸𝗶𝗹𝗹𝘀 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 𝗶𝗻 𝟮𝟬𝟮𝟲 🔥
Want to upgrade your tech skills without spending money?
Here are some excellent FREE YouTube resources to learn high-demand technologies through tutorials and hands-on practice.
🔥 Learn → Practice → Build Projects → Upgrade Your Resume
🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 👇:-
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🎯 Perfect for Students • Freshers • Job Seekers • Working Professionals
🚀 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲 𝗢𝗻 𝗔𝘇𝘂𝗿𝗲 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 ☁️
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🎓 Perfect for Students • Freshers • Data Science Aspirants • AI/ML Learners • Working Professionals
𝗣𝗮𝘆 𝗔𝗳𝘁𝗲𝗿 𝗣𝗹𝗮𝗰𝗲𝗺𝗲𝗻𝘁 — 𝗚𝗲𝘁 𝗣𝗹𝗮𝗰𝗲𝗱 𝗜𝗻 𝗧𝗼𝗽 𝗧𝗲𝗰𝗵 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀😍
Learn JAVA/MERN Full Stack Development With GenAI.
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⚡ Take the first step toward your dream tech career today!
🔥 𝗠𝗮𝘀𝘁𝗲𝗿 𝗦𝗤𝗟 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 — 𝗙𝗿𝗼𝗺 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿 𝘁𝗼 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱! 💻📊
These free learning resources cover everything from database fundamentals to advanced SQL queries, with opportunities to practice real-world problems.
🎯 Top FREE SQL Resources:
1️⃣ Introduction to Databases & SQL — Udemy
2️⃣ Advanced Database & SQL — Udemy
3️⃣ Learn SQL — Codecademy
4️⃣ SQL Tutorial — SQLZoo
🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 👇:-
https://pdlink.in/4gNYHk7
🚀 Start from the basics and work your way toward advanced SQL skills!
🚀 𝗗𝗿𝗲𝗮𝗺𝗶𝗻𝗴 𝗼𝗳 𝗪𝗼𝗿𝗸𝗶𝗻𝗴 𝗮𝘁 𝗧𝗼𝗽 𝗧𝗲𝗰𝗵 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀? 💻🔥
Here’s a collection of company-specific resources to help you understand their interview and hiring processes.
🎯 Interview Preparation Guides For:
🟠 Amazon – Interviewing Guide
🔵 Google – Interview Tips
🪟 Microsoft – Hiring & Interview Tips
🟢 NVIDIA – Hiring Process
🔷 Meta – Software Engineering Interview Prep
𝐋𝐢𝐧𝐤 👇:-
https://pdlink.in/4i6HkgN
📢 Save & share this with your friends — start learning for FREE!
💡 Excel Tips & Tricks 🧠📊
Part 4 — Tips Every Excel User Should Know
🔹 Tip 31: Use "Ctrl + D" to Fill Down
Select the formula or value along with the cells below → Press "Ctrl + D".
📌 Quickly copies the top cell down without dragging.
🔹 Tip 32: Use "Ctrl + R" to Fill Right
Select the range → Press "Ctrl + R".
📌 Copies the leftmost cell across the selected columns.
🔹 Tip 33: Quickly Insert or Delete Rows and Columns
Select a row or column → Press:
"Ctrl + +" → Insert
"Ctrl + -" → Delete
📌 Much faster than using the right-click menu.
🔹 Tip 34: Use "Ctrl + Arrow Keys" to Navigate Large Datasets
Press "Ctrl + ↓", "Ctrl + ↑", "Ctrl + →", or "Ctrl + ←".
📌 Jump quickly to the edge of a data region.
🔹 Tip 35: Use "Ctrl + Shift + Arrow Keys" to Select Data
Press "Ctrl + Shift + ↓" to select data downward.
📌 Useful when working with thousands of rows.
🔹 Tip 36: Use "F4" to Repeat Your Last Action
After performing an action, press "F4" to repeat it where applicable.
📌 Helpful when applying the same formatting or operation repeatedly.
🔹 Tip 37: Use "Ctrl + Page Up/Down" to Switch Worksheets
"Ctrl + Page Up" → Previous sheet
"Ctrl + Page Down" → Next sheet
📌 Switch between worksheets without using the mouse.
🔹 Tip 38: Use "Ctrl + F" to Find Data Quickly
Press "Ctrl + F" and enter the value you're looking for.
📌 Much faster than manually scanning large datasets.
🔹 Tip 39: Use "Ctrl + H" to Replace Data
Press "Ctrl + H" → Enter the old value → Enter the replacement → Replace All.
📌 Useful for correcting repeated errors or standardizing data.
🔹 Tip 40: Double-Click the Format Painter
Double-click Format Painter to keep it active.
📌 You can apply the same formatting to multiple locations without repeatedly selecting the tool.
💬 Double Tap ♥️ For More Excel Tips!
