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Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources

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

إظهار المزيد

📈 نظرة تحليلية على قناة تيليجرام Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources

تُعد قناة Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources (@sqlproject) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 39 690 مشتركاً، محتلاً المرتبة 4 600 في فئة التعليم والمرتبة 9 632 في منطقة الهند.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 39 690 مشتركاً.

بحسب آخر البيانات بتاريخ 15 سبتمبر, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار -15، وفي آخر 24 ساعة بمقدار 10، مع بقاء الوصول العام مرتفعاً.

  • حالة التحقق: غير موثّقة
  • معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 2.04‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 0.70‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
  • وصول المنشورات: يحصل كل منشور على متوسط 808 مشاهدة. وخلال اليوم الأول يجمع عادةً 276 مشاهدة.
  • التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 1.
  • الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل analytic, dataset, visualization, sql, learning.

📝 الوصف وسياسة المحتوى

يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
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

بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 16 سبتمبر, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التعليم.

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منشورات القناة
10 Steps to Landing a High Paying Job in Data Analytics 1. Learn SQL - joins & windowing functions is most important 2. Learn Excel- pivoting, lookup, vba, macros is must 3. Learn Dashboarding on POWER BI/ Tableau 4. ⁠Learn Python basics- mainly pandas, numpy, matplotlib and seaborn libraries 5. ⁠Know basics of descriptive statistics 6. ⁠With AI/ copilot integrated in every tool, know how to use it and add to your projects 7. ⁠Have hands on any 1 cloud platform- AZURE/AWS/GCP 8. ⁠WORK on atleast 2 end to end projects and create a portfolio of it 9. ⁠Prepare an ATS friendly resume & start applying 10. ⁠Attend interviews (you might fail in first 2-3 interviews thats fine),make a list of questions you could not answer & prepare those. Give more interview to boost your chances through consistent practice & feedback 😄👍

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𝗧𝗼𝗽 𝟱 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗞𝗶𝗰𝗸𝘀𝘁𝗮𝗿𝘁 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗖𝗮𝗿𝗲𝗲𝗿 📊 Want to start a ca
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𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗙𝗥𝗘𝗘 𝗢𝗻𝗹𝗶𝗻𝗲 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 😍 💫Accelerate your career in Data Science 💫Discover t
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When starting off your data analytics journey you DON'T need to be a SQL guru from the get-go. In fact, most SQL skills you will only learn on the job with: - real business problems. - actual data sets. - imperfect data architecture. - other people to collaborate with. So be kind to yourself, give yourself time to grow and above all... try to become proficient at SQL rather than perfect. The rest will take care of itself along the way! 😉
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🚀 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲 𝗢𝗻 𝗔𝘇𝘂𝗿𝗲 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 ☁️ ✨ Build practical skil
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𝗣𝗮𝘆 𝗔𝗳𝘁𝗲𝗿 𝗣𝗹𝗮𝗰𝗲𝗺𝗲𝗻𝘁 — 𝗚𝗲𝘁 𝗣𝗹𝗮𝗰𝗲𝗱 𝗜𝗻 𝗧𝗼𝗽 𝗧𝗲𝗰𝗵 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀😍 Learn JAVA/MERN Full Sta
𝗣𝗮𝘆 𝗔𝗳𝘁𝗲𝗿 𝗣𝗹𝗮𝗰𝗲𝗺𝗲𝗻𝘁 — 𝗚𝗲𝘁 𝗣𝗹𝗮𝗰𝗲𝗱 𝗜𝗻 𝗧𝗼𝗽 𝗧𝗲𝗰𝗵 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀😍 Learn JAVA/MERN Full Stack Development With GenAI. 🏆 Placement Highlights:- 💰 ₹41 LPA highest salary 📈 ₹7.4 LPA average salary 🎓 2,000+ students placed 🏢 500+ partner companies 🔗 𝗔𝗽𝗽𝗹𝘆 𝗡𝗼𝘄 👇:- https://pdlink.in/3SuUeuD ⚡ Take the first step toward your dream tech career today!
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Some helpful Data science projects for beginners https://www.kaggle.com/c/house-prices-advanced-regression-techniques https://www.kaggle.com/c/digit-recognizer https://www.kaggle.com/c/titanic BEST RESOURCES TO LEARN DATA SCIENCE AND MACHINE LEARNING FOR FREE https://developers.google.com/machine-learning/crash-course https://www.kaggle.com/learn/overview https://forums.fast.ai/t/recommended-python-learning-resources/26888 https://www.fast.ai/ https://imp.i115008.net/JrBjZR https://ern.li/OP/1qvkxbfaxqj ENJOY LEARNING 👍👍
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