Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources
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Covering all technical and popular stuff about anything related to Data Science: AI, Big Data, Machine Learning, Statistics, general Math and the applications of former. Ads/ Promo: @love_data
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شبکه:📈 تحلیل کانال تلگرام Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources
کانال Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources (@sqlproject) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 39 685 مشترک است و جایگاه 4 638 را در دسته آموزش و رتبه 9 894 را در منطقه الهند دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 39 685 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 25 اوت, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 60 و در ۲۴ ساعت گذشته برابر -7 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 1.81% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 0.74% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 718 بازدید دریافت میکند. در اولین روز معمولاً 293 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 2 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند analytic, dataset, visualization, sql, learning تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“Covering all technical and popular stuff about anything related to Data Science: AI, Big Data, Machine Learning, Statistics, general Math and the applications of former.
Ads/ Promo: @love_data”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 26 اوت, 2026)، کانال همواره بهروز و دارای دسترسی بالاست. تحلیلها نشان میدهد مخاطبان بهطور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته آموزش تبدیل کردهاند.
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پستهای کانال
🎓 𝐀𝐜𝐜𝐞𝐧𝐭𝐮𝐫𝐞 𝐅𝐑𝐄𝐄 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 😍
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𝐋𝐢𝐧𝐤 👇:-
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✅ Learn Online | 📜 Get Certified
| 2 |  𝗙𝗥𝗘𝗘 𝗚𝗲𝗻𝗔𝗜 + 𝗖𝗹𝗮𝘂𝗱𝗲 𝗢𝗻𝗹𝗶𝗻𝗲 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀😍
Learn how to use 25+ powerful AI tools to automate your work, create professional content and save hours every week!
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⚡ Start using AI smarter—limited slots available! | 207 |
| 3 |  Your Data Science degree just got an AI update.
Yeah.
Things are moving fast.
Python. SQL. Machine Learning. Deep Learning. MLOps.
And now GenAI, LLMs, RAG & AI-powered workflows.
An 8-month program with 20+ industry projects and live weekend classes.
Maybe Data Science was just the beginning.
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| 4 |  🚀 𝗙𝗥𝗘𝗘 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲! 📊
Here’s a great chance to learn valuable skills and earn a FREE Certificate 🎓
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📌 Start learning today & upgrade your career! | 411 |
| 5 | 7 Baby Steps to Become a Data Analyst 👇👇
1. Understand the Role of a Data Analyst:
Learn what a data analyst does, including collecting, cleaning, analyzing, and interpreting data to support decision-making.
Familiarize yourself with key terms like KPIs, dashboards, and business intelligence.
Research industries where data analysts work, such as finance, marketing, healthcare, and e-commerce.
2. Learn the Essential Tools:
Excel: Start with basics like formulas, functions, and pivot tables, then advance to using Power Query and macros.
SQL: Learn to write queries for retrieving, filtering, and aggregating data from databases.
Data Visualization Tools: Master tools like Power BI or Tableau to create dashboards and reports.
3. Develop Analytical Thinking:
Practice identifying trends, patterns, and outliers in datasets.
Learn to ask the right questions about what the data reveals and how it can guide decision-making.
Strengthen problem-solving skills through real-world case studies or challenges.
4. Master a Programming Language (Python or R):
Learn Python libraries like pandas, NumPy, and matplotlib for data manipulation and visualization.
Alternatively, learn R for statistical analysis and its packages like ggplot2 and dplyr.
Work on projects like cleaning messy datasets or creating automated analysis scripts.
5. Work with Real-World Data:
Explore open datasets from platforms like Kaggle or Google Dataset Search.
Practice analyzing datasets related to your area of interest (e.g., sales, customer feedback, or healthcare).
Create sample reports or dashboards to showcase insights.
6. Build a Portfolio:
Document your projects in a way that demonstrates your skills. Include:
Data cleaning and transformation examples.
Visualization dashboards using Power BI, Tableau, or Excel.
Analysis reports with actionable insights.
Use GitHub or Tableau Public to showcase your work.
7. Engage with the Data Analytics Community:
Join forums like Kaggle, Reddit’s r/dataanalysis, or LinkedIn groups.
Participate in challenges to solve real-world problems, such as Kaggle competitions.
Additional Tips:
Gain domain knowledge relevant to your target industry (e.g., marketing analytics or financial analysis).
Focus on communication skills to present insights effectively to non-technical stakeholders.
Continuously learn and upskill as new tools and techniques emerge in the data analytics field.
Join our WhatsApp channel 👇
https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02
Like this post for more content like this 👍♥️
Share with credits: https://t.me/sqlspecialist
Hope it helps :) | 483 |
| 6 |  𝗣𝗮𝘆 𝗔𝗳𝘁𝗲𝗿 𝗣𝗹𝗮𝗰𝗲𝗺𝗲𝗻𝘁—𝗕𝗲𝗰𝗼𝗺𝗲 𝗮 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝘄𝗶𝘁𝗵 𝗚𝗲𝗻𝗔𝗜😍
Curriculum designed and taught by alumni from IITs & leading tech companies.
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⚡ Take the first step toward your dream tech career today! | 456 |
| 7 | 🔥 Most Asked SQL Window Function Patterns (Real Business Problems)
If you master these patterns, you can solve many real-world SQL interview problems. 👇
🔹 Find Top 5 Products by Revenue in Each Category → ROW_NUMBER() / RANK() + PARTITION BY
🔹 Calculate Running Sales Revenue Over Time → SUM() OVER(ORDER BY Date)
🔹 Find Customer’s First Purchase Date → MIN() OVER(PARTITION BY Customer)
🔹 Find Latest Transaction of Every Customer → ROW_NUMBER() + PARTITION BY
🔹 Calculate Month-over-Month Sales Growth → LAG() + Date Functions
🔹 Compare Employee Salary With Department Average → AVG() OVER(PARTITION BY Department)
🔹 Find Highest Revenue Product in Each Category → RANK() + PARTITION BY
🔹 Calculate Customer Lifetime Value (Total Spend) → SUM() OVER(PARTITION BY Customer)
🔹 Identify Repeat Customers After First Purchase → ROW_NUMBER() + Filtering Logic
🔹 Calculate 7-Day Moving Average of Sales → AVG() OVER(ORDER BY Date ROWS BETWEEN)
🔹 Find Longest User Activity Streak → ROW_NUMBER() + Gaps & Islands
🔹 Calculate Product Contribution to Total Revenue → SUM() OVER() + Percentage Calculation
🔹 Detect Customers With Declining Purchases → LAG() + Comparison Logic
❤️ React if you want more SQL interview patterns based on real company problems! | 520 |
| 8 |  🚀 𝗪𝗶𝗽𝗿𝗼 𝗘𝗹𝗶𝘁𝗲 𝗡𝗧𝗛 & 𝗧𝘂𝗿𝗯𝗼 𝗙𝗥𝗘𝗘 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗞𝗶𝘁 💻🔥
Get access to a FREE interview preparation kit and prepare smarter for your upcoming assessment & interview rounds.
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https://pdlink.in/4zh9E6g
🔥 Start preparing early and improve your chances of cracking the Wipro hiring process! | 455 |
| 9 | If you’re just starting out in Data Analytics, it’s super important to build the right habits early.
Here’s a simple plan for beginners to grow both technical and problem-solving skills together:
If You Just Started Learning Data Analytics, Focus on These 5 Baby Steps:
1. Don’t Just Watch Tutorials — Build Small Projects
After learning a new tool (like SQL or Excel), create mini-projects:
- Analyze your expenses
- Explore a free dataset (like Netflix movies, COVID data)
2. Ask Business-Like Questions Early
Whenever you see a dataset, practice asking:
- What problem could this data solve?
- Who would care about this insight?
3. Start a ‘Data Journal’
Every day, note down:
- What you learned
- One business question you could answer with data (Helps you build real-world thinking!)
4. Practice the Basics 100x
Get very comfortable with:
- SELECT, WHERE, GROUP BY (SQL)
- Pivot tables and charts (Excel)
- Basic cleaning (Power Query / Python pandas)
_Mastering basics > learning 50 fancy functions._
5. Learn to Communicate Early
Explain your mini-projects like this:
- What was the business goal?
- What did you find?
- What should someone do based on it?
React with ❤️ if you need a beginner-friendly roadmap to start your data analytics career
Data Analytics Free Resources: https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02
ENJOY LEARNING 👍👍 | 486 |
| 10 |  🚀 𝗔𝗜 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲
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⚡ Limited opportunity—start learning today! | 1 |
| 11 | 🚀 𝗔𝗜 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲
🔥 Upgrade your skills and prepare for exciting career opportunities in AI!
✅ Beginner-friendly course
✅ Learn AI & Machine Learning fundamentals
✅ Gain practical, job-ready skills
✅ Earn a FREE certificate
✅ Boost your resume and LinkedIn profile
✅ Ideal for students, freshers and professionals
🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 👇:-
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⚡ Limited opportunity—start learning today! | 470 |
| 12 |  ☁️ 𝟰 𝗙𝗥𝗘𝗘 𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗹𝗼𝘂𝗱 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 | 𝗕𝘂𝗶𝗹𝗱 𝗜𝗻-𝗗𝗲𝗺𝗮𝗻𝗱 𝗖𝗹𝗼𝘂𝗱 𝗦𝗸𝗶𝗹𝗹𝘀
Explore these Google Cloud learning resources covering cloud fundamentals, infrastructure, networking, security, data and AI/ML.
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2️⃣ Infrastructure in Google Cloud
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4️⃣ Data, ML & AI in Google Cloud
🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:-
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🎯 Perfect for Students | Freshers | Developers | Cloud & DevOps Aspirants | 544 |
| 13 |  𝗪𝗢𝗥𝗞 𝗙𝗥𝗢𝗠 𝗛𝗢𝗠𝗘 𝗝𝗢𝗕 𝗢𝗣𝗣𝗢𝗥𝗧𝗨𝗡𝗜𝗧𝗬 😍
Company Name :- AI InsurTech Company
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⚡ Apply early and share this opportunity with your friends! | 642 |
| 14 |  𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗙𝗥𝗘𝗘 𝗢𝗻𝗹𝗶𝗻𝗲 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 😍
💫Kickstart Your Data Science Career
💫Join this Masterclass for an expert-led session on Data Science
Eligibility :- Students ,Freshers & Working Professionals
𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘 👇:-
https://pdlink.in/4xOh5jA
(Only few slots left )
Date & Time :- 21st August 2026 & 7PM | 620 |
| 15 |  🎓 𝟰 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗮𝘁𝗶𝗼𝗻𝘀 𝗧𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗜𝗻 𝟮𝟬𝟮𝟲 🚀
Want to build job-ready skills and strengthen your resume? Start learning these in-demand technologies for FREE! 🔥
📊 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 :- https://pdlink.in/4qn5q94
💫 𝗔𝗜 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 :- https://pdlink.in/4zrkYNg
☁️ 𝗖𝗹𝗼𝘂𝗱 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 :- https://pdlink.in/4wzy6Ny
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| 18 |  📊 𝟱 𝗕𝗲𝘀𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝗧𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗠𝗦 𝗘𝘅𝗰𝗲𝗹 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘
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