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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

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๐Ÿ“ˆ Analytical overview of Telegram channel Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources

Channel Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources (@sqlproject) in the English language segment is an active participant. Currently, the community unites 39 494 subscribers, ranking 4 752 in the Education category and 10 399 in the India region.

๐Ÿ“Š Audience metrics and dynamics

Since its creation on ะฝะตะฒั–ะดะพะผะพ, the project has demonstrated rapid growth, gathering an audience of 39 494 subscribers.

According to the latest data from 10 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 198 over the last 30 days and by 3 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 2.80%. Within the first 24 hours after publication, content typically collects 1.00% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 107 views. Within the first day, a publication typically gains 393 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 3.
  • Thematic interests: Content is focused on key topics such as analytic, dataset, visualization, sql, learning.

๐Ÿ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
โ€œCovering 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_dataโ€

Thanks to the high frequency of updates (latest data received on 11 June, 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 Education category.

39 494
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๐—•๐—ฟ๐—ฒ๐—ฎ๐—ธ ๐—œ๐—ป๐˜๐—ผ ๐——๐—ฒ๐—ฒ๐—ฝ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด ๐—ถ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ ๐˜„๐—ถ๐˜๐—ต ๐—ง๐—ต๐—ถ๐˜€ ๐—™๐—ฅ๐—˜๐—˜ ๐— ๐—œ๐—ง ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐Ÿ˜ If youโ€™re seriou
๐—•๐—ฟ๐—ฒ๐—ฎ๐—ธ ๐—œ๐—ป๐˜๐—ผ ๐——๐—ฒ๐—ฒ๐—ฝ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด ๐—ถ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ ๐˜„๐—ถ๐˜๐—ต ๐—ง๐—ต๐—ถ๐˜€ ๐—™๐—ฅ๐—˜๐—˜ ๐— ๐—œ๐—ง ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐Ÿ˜ If youโ€™re serious about AI, you canโ€™t skip Deep Learningโ€”and this FREE course from MIT is one of the best ways to start๐Ÿ‘จโ€๐Ÿ’ป๐Ÿ“Œ Offered by MITโ€™s top researchers and engineers, this online course is open to everyone, no matter where you live or work๐ŸŽฏ ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/3H6cggR Why wait to get started when you can learn from MIT for free?โœ…๏ธ

A step-by-step guide on getting set up ๐Ÿ‘‡ ๐—ฆ๐˜๐—ฒ๐—ฝ ๐Ÿญ: ๐—œ๐—ป๐˜€๐˜๐—ฎ๐—น๐—น ๐—ฎ ๐—ฆ๐—ค๐—Ÿ ๐—ฑ๐—ฟ๐—ถ๐˜ƒ๐—ฒ๐—ฟ Youโ€™ll need to a database engine first. This is what will ๐˜ณ๐˜ถ๐˜ฏ your SQL queries. Pick ๐˜ฆ๐˜ช๐˜ต๐˜ฉ๐˜ฆ๐˜ณ PostgreSQL ๐˜ฐ๐˜ณ mySQL. Both are free & widely used. Download PostgreSQL driver: https://lnkd.in/gbvqNSWr Download mySQL driver: https://lnkd.in/gCct2Qw3 During installation, make note of: โ€ข Your username โ€ข Your password โ€ข The port number ๐—ฆ๐˜๐—ฒ๐—ฝ ๐Ÿฎ: ๐—œ๐—ป๐˜€๐˜๐—ฎ๐—น๐—น ๐—ฎ ๐—ฆ๐—ค๐—Ÿ ๐—ฐ๐—น๐—ถ๐—ฒ๐—ป๐˜ Next, youโ€™ll need a SQL client to โ†ณ Connect to a database โ†ณ Explore your data โ†ณ Run queries My recommendations (both free!) โ†ณ PostgreSQL use ๐˜ฑ๐˜จ๐˜ˆ๐˜ฅ๐˜ฎ๐˜ช๐˜ฏ: https://lnkd.in/gs8u594Z โ†ณ MySQL use ๐˜”๐˜บ๐˜š๐˜˜๐˜“ ๐˜ž๐˜ฐ๐˜ณ๐˜ฌ๐˜ฃ๐˜ฆ๐˜ฏ๐˜ค๐˜ฉ: https://lnkd.in/gtG3UCaZ ๐—ฆ๐˜๐—ฒ๐—ฝ ๐Ÿฏ: ๐—–๐—ผ๐—ป๐—ป๐—ฒ๐—ฐ๐˜ ๐˜๐—ผ ๐˜†๐—ผ๐˜‚๐—ฟ ๐˜€๐—ฒ๐—ฟ๐˜ƒ๐—ฒ๐—ฟ Now, youโ€™ll connect your DB engine & client. Open your SQL client & create a new connection. Use these details from Step 1: โ€ข ๐—›๐—ผ๐˜€๐˜: likely ๐˜ญ๐˜ฐ๐˜ค๐˜ข๐˜ญ๐˜ฉ๐˜ฐ๐˜ด๐˜ต โ€ข ๐—ฃ๐—ผ๐—ฟ๐˜ โ€ข ๐—จ๐˜€๐—ฒ๐—ฟ๐—ป๐—ฎ๐—บ๐—ฒ โ€ข ๐—ฃ๐—ฎ๐˜€๐˜€๐˜„๐—ผ๐—ฟ๐—ฑ Then hit "Connect!" ๐—ฆ๐˜๐—ฒ๐—ฝ ๐Ÿฐ: ๐—–๐—ฟ๐—ฒ๐—ฎ๐˜๐—ฒ ๐—ฎ ๐—ป๐—ฒ๐˜„ ๐—ฑ๐—ฎ๐˜๐—ฎ๐—ฏ๐—ฎ๐˜€๐—ฒ Now youโ€™re connected, letโ€™s create a database. ๐˜™๐˜ฆ๐˜ค๐˜ข๐˜ญ๐˜ญ: ๐˜ต๐˜ฉ๐˜ฆ ๐˜ฅ๐˜ข๐˜ต๐˜ข๐˜ฃ๐˜ข๐˜ด๐˜ฆ ๐˜ช๐˜ด ๐˜ธ๐˜ฉ๐˜ฆ๐˜ณ๐˜ฆ ๐˜บ๐˜ฐ๐˜ถโ€™๐˜ญ๐˜ญ ๐˜ข๐˜ฅ๐˜ฅ ๐˜บ๐˜ฐ๐˜ถ๐˜ณ ๐˜ต๐˜ข๐˜ฃ๐˜ญ๐˜ฆ๐˜ด. Run this SQL command: ๐˜Š๐˜™๐˜Œ๐˜ˆ๐˜›๐˜Œ ๐˜‹๐˜ˆ๐˜›๐˜ˆ๐˜‰๐˜ˆ๐˜š๐˜Œ ๐˜ด๐˜ฒ๐˜ญ_๐˜ฑ๐˜ณ๐˜ฐ๐˜ซ๐˜ฆ๐˜ค๐˜ต ๐—ฆ๐˜๐—ฒ๐—ฝ ๐Ÿฑ. ๐—œ๐—บ๐—ฝ๐—ผ๐—ฟ๐˜ ๐˜†๐—ผ๐˜‚๐—ฟ ๐——๐—ฎ๐˜๐—ฎ๐˜€๐—ฒ๐˜ Assume you have your data in CSV file. ๐—™๐—ถ๐—ฟ๐˜€๐˜, create a table with column names + types: ๐˜Š๐˜™๐˜Œ๐˜ˆ๐˜›๐˜Œ ๐˜›๐˜ˆ๐˜‰๐˜“๐˜Œ ๐˜ฎ๐˜บ_๐˜ต๐˜ข๐˜ฃ๐˜ญ๐˜ฆ ( ๐˜ค๐˜ฐ๐˜ญ๐˜ถ๐˜ฎ๐˜ฏ1 ๐˜›๐˜Œ๐˜Ÿ๐˜›, ๐˜ค๐˜ฐ๐˜ญ๐˜ถ๐˜ฎ๐˜ฏ2 ๐˜๐˜•๐˜›, ... ๐˜ฆ๐˜ต๐˜ค ); ๐—ฆ๐—ฒ๐—ฐ๐—ผ๐—ป๐—ฑ, import the data using the Data Import tools. Need a dataset? Here are 3 starter datasets: โ€ข Global country information: https://lnkd.in/gWpmgkZb โ€ข Restaurant sales: https://lnkd.in/gwWnKYw4 โ€ข Fight routes: https://lnkd.in/gwp3c4aE ๐—ฆ๐˜๐—ฒ๐—ฝ ๐Ÿฒ. ๐—ฉ๐—ฒ๐—ฟ๐—ถ๐—ณ๐˜† ๐˜†๐—ผ๐˜‚๐—ฟ ๐—ฑ๐—ฎ๐˜๐—ฎ Check that your data loaded correctly: ๐˜š๐˜Œ๐˜“๐˜Œ๐˜Š๐˜› * ๐˜๐˜™๐˜–๐˜” ๐˜ฎ๐˜บ_๐˜ต๐˜ข๐˜ฃ๐˜ญ๐˜ฆ ๐˜“๐˜๐˜”๐˜๐˜› 10; Look at the data โ€” is this what you were expecting? ๐—ฆ๐˜๐—ฒ๐—ฝ ๐Ÿณ. ๐—ฆ๐˜๐—ฎ๐—ฟ๐˜ ๐˜†๐—ผ๐˜‚๐—ฟ ๐—ฎ๐—ป๐—ฎ๐—น๐˜†๐˜€๐—ถ๐˜€ Now you're all set up & ready for your analysis!

๐Ÿš€ ๐—ฃ๐—ฎ๐˜† ๐—”๐—ณ๐˜๐—ฒ๐—ฟ ๐—ฃ๐—น๐—ฎ๐—ฐ๐—ฒ๐—บ๐—ฒ๐—ป๐˜ ๐—–๐—ผ๐—ฑ๐—ถ๐—ป๐—ด ๐—ฃ๐—ฟ๐—ผ๐—ด๐—ฟ๐—ฎ๐—บ! ๐Ÿ˜ Get trained by real tech experts! ๐Ÿ“Š Avg. โ‚น7.4 LPA ๐Ÿ’ฐ
๐Ÿš€ ๐—ฃ๐—ฎ๐˜† ๐—”๐—ณ๐˜๐—ฒ๐—ฟ ๐—ฃ๐—น๐—ฎ๐—ฐ๐—ฒ๐—บ๐—ฒ๐—ป๐˜ ๐—–๐—ผ๐—ฑ๐—ถ๐—ป๐—ด ๐—ฃ๐—ฟ๐—ผ๐—ด๐—ฟ๐—ฎ๐—บ! ๐Ÿ˜ Get trained by real tech experts! ๐Ÿ“Š Avg. โ‚น7.4 LPA ๐Ÿ’ฐ ๐Ÿ† โ‚น41 LPA Highest ๐Ÿ‘จโ€๐ŸŽ“ BTech/BCA/BSc โ€“ You're Eligible ๐Ÿ‘ฅ 2000+ Placed | 500+ Companies Hiring ๐—™๐˜‚๐—น๐—น ๐—ฆ๐˜๐—ฎ๐—ฐ๐—ธ:- https://pdlink.in/4hO7rWY ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€:- https://bit.ly/4g3kyT6 ๐Ÿ‘‰ Apply Today โ€“ Limited Seats Left!

๐Ÿฐ ๐—™๐—ฅ๐—˜๐—˜ ๐—ง๐—ฒ๐—ฐ๐—ต ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐—ณ๐—ฟ๐—ผ๐—บ ๐— ๐—œ๐—ง, ๐—›๐—ฎ๐—ฟ๐˜ƒ๐—ฎ๐—ฟ๐—ฑ, ๐— ๐—ถ๐—ฐ๐—ฟ๐—ผ๐˜€๐—ผ๐—ณ๐˜ & ๐—ฆ๐˜๐—ฎ๐—ป๐—ณ๐—ผ๐—ฟ๐—ฑ ๐˜๐—ผ ๐—Ÿ๐—ฎ๐˜‚๐—ป๐—ฐ๐—ต
๐Ÿฐ ๐—™๐—ฅ๐—˜๐—˜ ๐—ง๐—ฒ๐—ฐ๐—ต ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐—ณ๐—ฟ๐—ผ๐—บ ๐— ๐—œ๐—ง, ๐—›๐—ฎ๐—ฟ๐˜ƒ๐—ฎ๐—ฟ๐—ฑ, ๐— ๐—ถ๐—ฐ๐—ฟ๐—ผ๐˜€๐—ผ๐—ณ๐˜ & ๐—ฆ๐˜๐—ฎ๐—ป๐—ณ๐—ผ๐—ฟ๐—ฑ ๐˜๐—ผ ๐—Ÿ๐—ฎ๐˜‚๐—ป๐—ฐ๐—ต ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—–๐—ฎ๐—ฟ๐—ฒ๐—ฒ๐—ฟ ๐—ถ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ๐Ÿ˜ Want to Break into Tech with Confidence?๐Ÿ”ฅ Whether youโ€™re a beginner, a student, or preparing for interviews, these 4 FREE courses from world-class institutions will give you the foundation you need๐Ÿš€๐ŸŽฏ ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/3HaKijZ Best For: Beginners and data enthusiasts who want to work with databasesโœ…๏ธ

Guys, Big Announcement! Weโ€™ve officially hit 2 MILLION followers โ€” and itโ€™s time to take our Python journey to the next level! Iโ€™m super excited to launch the 30-Day Python Coding Challenge โ€” perfect for absolute beginners, interview prep, or anyone wanting to build real projects from scratch. This challenge is your daily dose of Python โ€” bite-sized lessons with hands-on projects so you actually code every day and level up fast. Hereโ€™s what youโ€™ll learn over the next 30 days: Week 1: Python Fundamentals - Variables & Data Types (Build your own bio/profile script) - Operators (Mini calculator to sharpen math skills) - Strings & String Methods (Word counter & palindrome checker) - Lists & Tuples (Manage a grocery list like a pro) - Dictionaries & Sets (Create your own contact book) - Conditionals (Make a guess-the-number game) - Loops (Multiplication tables & pattern printing) Week 2: Functions & Logic โ€” Make Your Code Smarter - Functions (Prime number checker) - Function Arguments (Tip calculator with custom tips) - Recursion Basics (Factorials & Fibonacci series) - Lambda, map & filter (Process lists efficiently) - List Comprehensions (Filter odd/even numbers easily) - Error Handling (Build a safe input reader) - Review + Mini Project (Command-line to-do list) Week 3: Files, Modules & OOP - Reading & Writing Files (Save and load notes) - Custom Modules (Create your own utility math module) - Classes & Objects (Student grade tracker) - Inheritance & OOP (RPG character system) - Dunder Methods (Build a custom string class) - OOP Mini Project (Simple bank account system) - Review & Practice (Quiz app using OOP concepts) Week 4: Real-World Python & APIs โ€” Build Cool Apps - JSON & APIs (Fetch weather data) - Web Scraping (Extract titles from HTML) - Regular Expressions (Find emails & phone numbers) - Tkinter GUI (Create a simple counter app) - CLI Tools (Command-line calculator with argparse) - Automation (File organizer script) - Final Project (Choose, build, and polish your app!) React with โค๏ธ if you're ready for this new journey You can join our WhatsApp channel to access it for free: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L/1661

๐Ÿฏ ๐—•๐—ฒ๐—ด๐—ถ๐—ป๐—ป๐—ฒ๐—ฟ-๐—™๐—ฟ๐—ถ๐—ฒ๐—ป๐—ฑ๐—น๐˜† ๐——๐—ฎ๐˜๐—ฎ ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ ๐—ฃ๐—ฟ๐—ผ๐—ท๐—ฒ๐—ฐ๐˜๐˜€ ๐˜๐—ผ ๐—•๐˜‚๐—ถ๐—น๐—ฑ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—ฃ๐—ผ๐—ฟ๐˜๐—ณ๐—ผ๐—น๐—ถ๐—ผ ๐—ถ๏ฟฝ
๐Ÿฏ ๐—•๐—ฒ๐—ด๐—ถ๐—ป๐—ป๐—ฒ๐—ฟ-๐—™๐—ฟ๐—ถ๐—ฒ๐—ป๐—ฑ๐—น๐˜† ๐——๐—ฎ๐˜๐—ฎ ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ ๐—ฃ๐—ฟ๐—ผ๐—ท๐—ฒ๐—ฐ๐˜๐˜€ ๐˜๐—ผ ๐—•๐˜‚๐—ถ๐—น๐—ฑ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—ฃ๐—ผ๐—ฟ๐˜๐—ณ๐—ผ๐—น๐—ถ๐—ผ ๐—ถ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ๐Ÿ˜ ๐Ÿ‘ฉโ€๐Ÿ’ป Want to Break into Data Science but Donโ€™t Know Where to Start?๐Ÿš€ The best way to begin your data science journey is with hands-on projects using real-world datasets.๐Ÿ‘จโ€๐Ÿ’ป๐Ÿ“Œ ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/44LoViW Enjoy Learning โœ…๏ธ

๐Ÿ“Š Power BI / Tableau Dashboard Inspiration ๐Ÿš€ Want to Build Stunning Dashboards? Try This! Creating an interactive and insightful dashboard is a key skill for any Data Analyst. Hereโ€™s a simple Power BI / Tableau dashboard idea to practice! ๐Ÿ“ Project Idea: Sales Performance Dashboard ๐Ÿ“Œ Dataset: Use free datasets from Kaggle or Sample Superstore (Tableau) ๐Ÿ“Œ Key Visuals to Include: โœ… Total Sales, Profit, and Orders (KPI Cards) โœ… Sales Trend Over Time (Line Chart) โœ… Top 5 Best-Selling Products (Bar Chart) โœ… Sales by Region & Category (Map & Pie Chart) โœ… Customer Segmentation (Filters & Slicers) ๐Ÿ’ก Pro Tips: ๐Ÿ”น Use conditional formatting to highlight trends ๐Ÿ“Š ๐Ÿ”น Add slicers to make the dashboard interactive ๐Ÿ” ๐Ÿ”น Keep colors consistent for better readability ๐ŸŽจ ๐Ÿ“Œ Bonus Challenge: Can you create a drill-through feature to view details by region? Join @dataportfolio to find free data analytics projects Like this post for more content like this โ™ฅ๏ธ Share with credits: https://t.me/sqlspecialist Hope it helps :)

๐Ÿš€ ๐—™๐—ฅ๐—˜๐—˜ ๐—ข๐—ณ๐—ณ๐—น๐—ถ๐—ป๐—ฒ ๐——๐—ฒ๐—บ๐—ผ ๐—–๐—น๐—ฎ๐˜€๐˜€ โ€“ ๐—›๐˜†๐—ฑ๐—ฒ๐—ฟ๐—ฎ๐—ฏ๐—ฎ๐—ฑ & ๐—ฃ๐˜‚๐—ป๐—ฒ!๐Ÿ˜ Kickstart your tech career with top-tier co
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Please go through this top 10 SQL projects with Datasets that you can practice and can add in your resume ๐Ÿ“Œ1. Social Media Analytics: (https://www.kaggle.com/amanajmera1/framingham-heart-study-dataset) ๐Ÿš€2. Web Analytics: (https://www.kaggle.com/zynicide/wine-reviews) ๐Ÿ“Œ3. HR Analytics: (https://www.kaggle.com/pavansubhasht/ibm-hr-analytics- attrition-dataset) ๐Ÿš€4. Healthcare Data Analysis: (https://www.kaggle.com/cdc/mortality) ๐Ÿ“Œ5. E-commerce Analysis: (https://www.kaggle.com/olistbr/brazilian-ecommerce) ๐Ÿš€6. Inventory Management: (https://www.kaggle.com/datasets? search=inventory+management) ๐Ÿ“Œ 7.Customer Relationship Management: (https://www.kaggle.com/pankajjsh06/ibm-watson- marketing-customer-value-data) ๐Ÿš€8. Financial Data Analysis: (https://www.kaggle.com/awaiskalia/banking-database) ๐Ÿ“Œ9. Supply Chain Management: (https://www.kaggle.com/shashwatwork/procurement-analytics) ๐Ÿš€10. 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 itโ€™s a programming language try to make it more exciting for yourself. Join for more: https://t.me/DataPortfolio Hope this piece of information helps you

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