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

India19 643 Technologies & Applications6 190...

📈 Analytical overview of Telegram channel Data Careers Resources & Job Updates | iamrupnath

Channel Data Careers Resources & Job Updates | iamrupnath (@codewithrup) in the English language segment is an active participant. Currently, the community unites 20 876 subscribers, ranking 6 190 in the Technologies & Applications category and 19 643 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 20 876 subscribers.

According to the latest data from 08 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -366 over the last 30 days and by -10 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 4.43%. Within the first 24 hours after publication, content typically collects 1.19% reactions from the total number of subscribers.
Post reach: On average, each post receives 925 views. Within the first day, a publication typically gains 249 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.
Thematic interests: Content is focused on key topics such as apply, qualification, bachelor, degree, engineer.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“👉 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”

Thanks to the high frequency of updates (latest data received on 09 September, 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 Technologies & Applications category.

20 876

Subscribers

-1024 hours

-857 days

-36630 days

925

Post views

~ 24924 hours

~ 34448 hours

4.43%

Engagement rate

No data

Posts per day

Ads index

beta

Posts Archive

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https://www.linkedin.com/posts/rupnath-shaw_most-freshers-open-power-bi-before-asking-share-7503304997116203008-77Xx/?utm_source=social_share_send&utm_medium=android_app&rcm=ACoAAC7vPAUBaCDnaBBrKBrYdulPuQnHWSoWPc8&utm_campaign=share_via

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Get Unlimited Claude Opus 5 FREE API Access NOW! https://agentrouter.org/register?aff=Lypb

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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? 📈 POWER BI • 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? 💼 BUSINESS QUESTIONS • 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? 📌 Don't try to memorise answers. Practice explaining each answer with a real project from your portfolio. 🎯 Best preparation strategy: Learn → Practice → Build Projects → Explain Your Work 💼 Data Analyst Jobs 📚 Free Learning Resources 🎯 Interview Preparation

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https://www.linkedin.com/posts/rupnath-shaw_%F0%9D%9F%AE-days-in-already-the-worlds-1-coding-activity-7502215684454805504-MsQU?utm_source=social_share_send&utm_medium=android_app&rcm=ACoAAC7vPAUBaCDnaBBrKBrYdulPuQnHWSoWPc8&utm_campaign=share_via

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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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Access Claude AI Opus 5 FREE + DeepSeek & Pro AI Models | $500 Credits, API Key, No Card (2026) 🔗 USEFUL LINKS: https://seekai.cc/sign-up?aff=gkC1 https://api.justwoker.icu/register?aff=6VFp https://tabitoken.com/sign-up?aff=YiKI

20 869

Access Claude AI Opus 5 FREE + DeepSeek & Pro AI Models | $500 Credits, API Key, No Card (2026) 🔗 USEFUL LINKS: https://seekai.cc/sign-up?aff=gkC1 https://api.justwoker.icu/register?aff=6VFp https://tabitoken.com/sign-up?aff=YiKI

20 869

https://www.linkedin.com/posts/rupnath-shaw_powerbi-dataanalytics-dataanalyst-share-7500761435430457344-j_2K/?utm_source=social_share_send&utm_medium=android_app&rcm=ACoAAC7vPAUBaCDnaBBrKBrYdulPuQnHWSoWPc8&utm_campaign=share_via

20 869

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/

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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/

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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/

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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/

20 869

https://lnkd.in/p/dJ9G8G4P

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Arcadis is hiring Graduate Engineer For 2022, 2023, 2024, 2025 grads Location: Bangalore https://jobs.arcadis.com/careers/job/563671532643966?domain=arcadis.com

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Notion is hiring Software Engineer (Developer Expereince) For 2015, 2016, 2017 grads Location: Hyderabad https://jobs.ashbyhq.com/notion/49bdf081-6e20-4323-8c73-6d6b19544ff5

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𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄e𝗿: You have 2 minutes to solve this Excel problem. You have the following data: Employee Department Salary John IT 75,000 Sarah HR 60,000 Mike IT 82,000 David Finance 90,000 Alice HR 65,000 How would you find the second highest salary in the IT department? 𝗠𝗲: Challenge accepted! 💪 =LARGE(FILTER(C2:C6,B2:B6="IT"),2) 💡 Explanation: This formula combines FILTER() and LARGE() to find the second highest salary within a specific department. - FILTER(C2:C6,B2:B6="IT") returns only salaries from the IT department. - LARGE(...,2) returns the second largest value from those salaries. The result is 75,000. This challenge tests your understanding of: ✅ FILTER() ✅ LARGE() ✅ Conditional Filtering ✅ Combining Excel Functions 🚀 Bonus (Without FILTER) For older Excel versions, you can use: =AGGREGATE(14,6,C2:C6/(B2:B6="IT"),2) Here: 14 represents LARGE. 6 ignores errors. B2:B6="IT" filters the calculation to the IT department. 2 returns the second largest value. ❤️ React with ❤️ for more Excel interview challenges!

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“Your resume says you know SQL. But can you actually think in SQL?” This can become a technical + career post. Give a simple example: https://www.linkedin.com/feed/update/urn:li:share:7493510053992439809/

20 869

https://lnkd.in/p/g5cK8W8Q

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https://www.linkedin.com/posts/rupnath-shaw_excel-data-analysis-activity-7492425802907836416-MfuX?utm_source=social_share_send&utm_medium=android_app&rcm=ACoAAC7vPAUBaCDnaBBrKBrYdulPuQnHWSoWPc8&utm_campaign=share_via

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6 parts to a 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁's job. AI is already taking some of them. Not all. Some. It will expose weak ones. https://www.linkedin.com/feed/update/urn:li:share:7492169595961688064/