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لا تقع ضحية للمخادعين! تيليمتريو يكتشف ويُميّز هذه القنوات 👉 إذا كنت تريد رؤية العلامة، اشترك

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 39 619 مشتركاً، محتلاً المرتبة 4 707 في فئة التعليم والمرتبة 9 752 في منطقة الهند.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 39 619 مشتركاً.

بحسب آخر البيانات بتاريخ 26 أكتوبر, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار -40، وفي آخر 24 ساعة بمقدار -2، مع بقاء الوصول العام مرتفعاً.

  • حالة التحقق: غير موثّقة
  • معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 2.28‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 0.69‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
  • وصول المنشورات: يحصل كل منشور على متوسط 903 مشاهدة. وخلال اليوم الأول يجمع عادةً 274 مشاهدة.
  • التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 3.
  • 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 27 أكتوبر, 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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Complete Roadmap to learn SQL in 2024 👇👇 1. Basic Concepts - Understand databases and SQL. - Learn data types (INT, VARCHAR, DATE, etc.). 2. Basic Queries - SELECT: Retrieve data. - WHERE: Filter results. - ORDER BY: Sort results. - LIMIT: Restrict results. 3. Aggregate Functions - COUNT, SUM, AVG, MAX, MIN. - Use GROUP BY to group results. 4. Joins - INNER JOIN: Combine rows from two tables based on a condition. - LEFT JOIN: Include all rows from the left table. - RIGHT JOIN: Include all rows from the right table. - FULL OUTER JOIN: Include all rows from both tables. 5. Subqueries - Use nested queries for complex data retrieval. 6. Data Manipulation - INSERT: Add new records. - UPDATE: Modify existing records. - DELETE: Remove records. 7. Schema Management - CREATE TABLE: Define new tables. - ALTER TABLE: Modify existing tables. - DROP TABLE: Remove tables. 8. Indexes - Understand how to create and use indexes to optimize queries. 9. Views - Create and manage views for simplified data access. 10. Transactions - Learn about COMMIT and ROLLBACK for data integrity. 11. Advanced Topics - Stored Procedures: Automate complex tasks. - Triggers: Execute actions automatically based on events. - Normalization: Understand database design principles. 12. Practice - Use platforms like LeetCode, HackerRank, or learnsql for hands-on practice. Here are some free resources to learn  & practice SQL 👇👇 Udacity free course- https://imp.i115008.net/AoAg7K SQL For Data Analysis: https://t.me/sqlanalyst For Practice- https://stratascratch.com/?via=free SQL Learning Series: https://t.me/sqlspecialist/567 Top 10 SQL Projects with Datasets: https://t.me/DataPortfolio/16 Join for more free resources: https://t.me/free4unow_backup ENJOY LEARNING 👍👍

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If you are interested to learn SQL for data analytics purpose and clear the interviews, just cover the following topics 1)Install MYSQL workbench 2) Select 3) From 4) where 5) group by 6) having 7) limit 8) Joins (Left, right , inner, self, cross) 9) Aggregate function ( Sum, Max, Min , Avg) 9) windows function ( row num, rank, dense rank, lead, lag, Sum () over) 10)Case 11) Like 12) Sub queries 13) CTE 14) Replace CTE with temp tables 15) Methods to optimize Sql queries 16) Solve problems and case studies at Ankit Bansal youtube channel Trick: Just copy each term and paste on youtube and watch any 10 to 15 minute on each topic and practise it while learning , By doing this , you get the basics understanding 17) Now time to go on youtube and search data analysis end to end project using sql 18) Watch them and practise them end to end. 17) learn integration with power bi In this way , you will not only memorize the concepts but also learn how to implement them in your current working and projects and will be able to defend it in your interviews as well. Like for more

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Please go through this top 5 SQL projects with Datasets that you can practice and can add in your resume 🚀1. Web Analytics: (https://www.kaggle.com/zynicide/wine-reviews) 🚀2. Healthcare Data Analysis: (https://www.kaggle.com/cdc/mortality) 📌3. E-commerce Analysis: (https://www.kaggle.com/olistbr/brazilian-ecommerce) 🚀4. Inventory Management: (https://www.kaggle.com/code/govindji/inventory-management) 🚀 5. Analysis of Sales Data: (https://www.kaggle.com/kyanyoga/sample-sales-data) Small suggestion from my side for non tech students: kindly pick those datasets which you like the subject in general, that way you will be more excited to practice it, instead of just doing it for the sake of resume, you will learn SQL more passionately, since it’s a programming language try to make it more exciting for yourself. Hope this piece of information helps you Join for more -> https://t.me/addlist/4q2PYC0pH_VjZDk5 ENJOY LEARNING 👍👍

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