Data Analyst Interview Resources
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Network:📈 Analytical overview of Telegram channel Data Analyst Interview Resources
Channel Data Analyst Interview Resources (@dataanalystinterview) in the English language segment is an active participant. Currently, the community unites 52 304 subscribers, ranking 3 374 in the Education category and 6 625 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 52 304 subscribers.
According to the latest data from 29 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -246 over the last 30 days and by -1 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 2.36%. Within the first 24 hours after publication, content typically collects 0.73% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 236 views. Within the first day, a publication typically gains 383 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 4.
- Thematic interests: Content is focused on key topics such as sql, row, |--, dataset, visualization.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“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”
Thanks to the high frequency of updates (latest data received on 30 October, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.
52 304
Subscribers
-124 hours
-977 days
-24630 days
Posts Archive
🚀 𝗧𝗔𝗧𝗔 𝗚𝗿𝗼𝘂𝗽 𝗙𝗥𝗘𝗘 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝘀 😍
Tata Group/TCS virtual job simulations let you work through industry-style tasks and strengthen your resume.
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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 👇:-
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🎯 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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🔥 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 🔥
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🚀 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲 𝗢𝗻 𝗔𝘇𝘂𝗿𝗲 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 ☁️
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𝗣𝗮𝘆 𝗔𝗳𝘁𝗲𝗿 𝗣𝗹𝗮𝗰𝗲𝗺𝗲𝗻𝘁 — 𝗚𝗲𝘁 𝗣𝗹𝗮𝗰𝗲𝗱 𝗜𝗻 𝗧𝗼𝗽 𝗧𝗲𝗰𝗵 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀😍
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🔥 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
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🚀 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 👇:-
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💡 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!
🎓 𝗧𝗼𝗽 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗢𝗳𝗳𝗲𝗿𝗶𝗻𝗴 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 🚀
Learn in-demand skills • Add valuable credentials to your resume
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💻 Infosys :- https://pdlink.in/4eBH3Aa
⚡ IBM :- https://pdlink.in/45KgqDR
💫 Amazon :- https://pdlink.in/47XuBGz
🌐 Cisco :- https://pdlink.in/4gaeVVV
🪟 Microsoft :- https://pdlink.in/4zhGTX6
📢 Save & share this with your friends — start upskilling for FREE!
🔥 SQL Interview Question of the Day
📌 Scenario:
A company wants to find the highest-paid employee in each department.
You have one table:
employees
• employee_id • employee_name • department • salary
☑ Solution:
SELECT
employee_id,
employee_name,
department,
salary
FROM (
SELECT
*,
DENSE_RANK() OVER (
PARTITION BY department
ORDER BY salary DESC
) AS salary_rank
FROM employees
) e
WHERE salary_rank = 1;
💡 Concept Tested:
Window Functions + DENSE_RANK() (Finding Top Records Within Groups)
❤️ React if you want more SQL interview questions.
🚀 𝗟𝗲𝘃𝗲𝗹 𝗨𝗽 𝗬𝗼𝘂𝗿 𝗖𝗮𝗿𝗲𝗲𝗿 𝘄𝗶𝘁𝗵 𝗙𝗥𝗘𝗘 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴! 💻
Microsoft-focused learning paths can help you strengthen your resume and prepare for in-demand tech and data roles.
🔥 Top 5 Courses / Certification Paths:
✅ Beginner-friendly options
✅ Build practical, job-ready skills
✅ Learn Azure, Power BI, Excel & SQL
✅ Strengthen your resume & career profile
𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:-
https://pdlink.in/3UNpPs7
💫Perfect for students, freshers, data analysts and professionals looking to upgrade their skills.
🔥 SQL Interview Question of the Day
📌 Scenario:
A university wants to find students who have never enrolled in any course.
You have two tables:
students
• student_id
• student_name
enrollments
• enrollment_id
• student_id
• course_id
🎯 Task:
Find all students who have never enrolled in any course.
☑ Solution:
SELECT
s.student_id,
s.student_name
FROM students s
LEFT JOIN enrollments e
ON s.student_id = e.student_id
WHERE e.student_id IS NULL;
💡 Concept Tested:
LEFT JOIN + NULL Filtering (Finding Missing Records)
❤️ React if you want more SQL interview questions.
📊 𝗠𝗮𝘀𝘁𝗲𝗿 𝗘𝘅𝗰𝗲𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘 | 𝟱 𝗣𝗼𝘄𝗲𝗿𝗳𝘂𝗹 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 🚀
🔥 Top 5 FREE Excel Courses:
1️⃣ Goldman Sachs – Excel Skills for Business
2️⃣ PwC – Problem Solving with Excel
3️⃣ Corporate Finance Institute – Excel Fundamentals
4️⃣ Great Learning – Excel for Beginners
5️⃣ Simplilearn – Introduction to MS Excel
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🔥 SQL Interview Question of the Day
📌 Scenario:
A company wants to identify employees who share the same salary with at least one other employee.
You have one table:
employees
• employee_id
• employee_name
• salary
☑ Solution:
SELECT
employee_id,
employee_name,
salary
FROM employees
WHERE salary IN (
SELECT salary
FROM employees
GROUP BY salary
HAVING COUNT(*) > 1
);
💡 Concept Tested:
Subquery + GROUP BY + HAVING
❤️ React if you want more SQL interview questions.
🚀 𝗙𝗥𝗘𝗘 𝗚𝗲𝗻𝗔𝗜 + 𝗖𝗹𝗮𝘂𝗱𝗲 𝗢𝗻𝗹𝗶𝗻𝗲 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 😍
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🔗 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 👇
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𝗧𝗼𝗽 𝗜𝗻-𝗗𝗲𝗺𝗮𝗻𝗱 𝗦𝗸𝗶𝗹𝗹𝘀 𝘁𝗼 𝗙𝘂𝘁𝘂𝗿𝗲-𝗣𝗿𝗼𝗼𝗳 𝗬𝗼𝘂𝗿 𝗖𝗮𝗿𝗲𝗲𝗿 😍
🔥 Skills Worth Learning:
⛓️ Blockchain
☁️ Cloud Computing
♾️ DevOps Engineering
🤖 Artificial Intelligence & Machine Learning
📊 Data Science & Analytics
🔐 Cybersecurity
🎯 Leadership & Communication
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Don’t just collect certificates — build projects, gain practical experience and showcase your skills on your resume & LinkedIn.
