Data Careers Resources & Job Updates | iamrupnath
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👉 Connect LinkedIn : https://www.linkedin.com/in/rupnath-shaw Google Search => Techcompreviews IG: @iamrupnath Perfect channel for Data Careers, Job Updates Learn Excel, SQL, Python, Tableau, Power BI, AI tools, AI tips & tricks and many more
نمایش بیشتر📈 تحلیل کانال تلگرام Data Careers Resources & Job Updates | iamrupnath
کانال Data Careers Resources & Job Updates | iamrupnath (@codewithrup) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 20 770 مشترک است و جایگاه 6 185 را در دسته فناوری و برنامهها و رتبه 19 620 را در منطقه الهند دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 20 770 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 18 سپتامبر, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر -354 و در ۲۴ ساعت گذشته برابر -9 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 3.78% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 1.17% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 786 بازدید دریافت میکند. در اولین روز معمولاً 243 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 0 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند apply, qualification, bachelor, degree, engineer تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“👉 Connect LinkedIn :
https://www.linkedin.com/in/rupnath-shaw
Google Search => Techcompreviews
IG: @iamrupnath
Perfect channel for Data Careers, Job Updates
Learn Excel, SQL, Python, Tableau, Power BI, AI tools, AI tips & tricks and many more”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 19 سپتامبر, 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 فناوری و برنامهها تبدیل کردهاند.
20 770
مشترکین
-924 ساعت
-817 روز
-35430 روز
آرشیو پست ها
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TCS wala Data Analyst aur Swiggy wale Data Analyst mein kya farq hai? Sirf salary nahi.
https://www.linkedin.com/feed/update/urn:li:activity:7504379621736579072/
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🎯 DATA ANALYST INTERVIEW PREP
If you're a fresher, these are the questions you should prepare before applying for Data Analyst roles.
📊 EXCEL
• What is VLOOKUP vs XLOOKUP?
• What is a Pivot Table?
• How do you remove duplicates?
• How do you use IF, SUMIF and COUNTIF?
🗄️ SQL
• Difference between WHERE and HAVING?
• INNER JOIN vs LEFT JOIN?
• What is GROUP BY?
• Difference between ROW_NUMBER and RANK?
• How do you find duplicate records?
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• What is the difference between Power Query and DAX?
• What is a Measure?
• What is a Calculated Column?
• What is Data Modeling?
• What is a Star Schema?
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• How would you analyse declining sales?
• What KPIs would you track?
• How do you find insights from a dataset?
• How would you explain your dashboard to a non-technical manager?
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Practice explaining each answer with a real project from your portfolio.
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💼 Data Analyst Jobs
📚 Free Learning Resources
🎯 Interview Preparation
Hey 👋
Just posted something on LinkedIn that I think will hit close to home for anyone learning Data Analytics.
It's about that gap nobody talks about — between finishing a course and surviving your first real project.
🔗 Read it here and drop a comment if it resonates:
https://www.linkedin.com/feed/update/urn:li:activity:7501494799334744064/
Would mean a lot if you liked, commented, or shared it. Takes 10 seconds. 🙏
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I was reviewing a fresher's portfolio last week.
Beautiful dashboard. Zero question.
That's the mistake I keep seeing.
And it quietly kills your chances in every interview.
Here's what the pattern looks like:
https://www.linkedin.com/feed/update/urn:li:share:7500057785079001088/
A fresher DM'd me this week.
"6 months in. Still no clarity."
He had tried Python. Tableau. R. SQL.
All at once.
No depth anywhere.
I gave him one answer:
The order matters more than the tools.
Here's what to actually prioritize first:
https://www.linkedin.com/feed/update/urn:li:share:7499353779415302144/
A recruiter sees SQL, Power BI, Python on your resume.
Still rejects you.
Because tools are not the job.
Analytical thinking is.
And most freshers never learn the difference.
https://www.linkedin.com/feed/update/urn:li:ugcPost:7498584894227410944/
𝗻𝟴𝗻. $𝟮.𝟯 𝗯𝗶𝗹𝗹𝗶𝗼𝗻 𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻. 𝟴𝟱,𝟬𝟬𝟬+ 𝗚𝗶𝘁𝗛𝘂𝗯 𝘀𝘁𝗮𝗿𝘀.
Still not on your learning list?
High demand. Low competition.
That's the window right now.
And it's closing faster than most people realize.
𝗪𝗵𝗮𝘁 𝗶𝘀 𝗻𝟴𝗻?
https://www.linkedin.com/feed/update/urn:li:share:7495692689452007424/
