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

Open in Telegram

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

Network:Free Courses with Certificate - Python Programming, Data Science, Java Coding, SQL, Web Development, AI, ML, ChatGPT Expert India10 383 Education4 747...

📈 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 39 497 subscribers, ranking 4 747 in the Education category and 10 383 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 39 497 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.

📝 Description and content policy

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

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.

39 497

Subscribers

+324 hours

+377 days

+19830 days

1 107

Post views

~ 39324 hours

~ 53848 hours

2.80%

Engagement rate

~ 1

Posts per day

Ads index

beta

Posts Archive

39 497

𝗔𝗜 𝗮𝗻𝗱 𝗠𝗟 𝗣𝗿𝗼𝗴𝗿𝗮𝗺 𝗯𝘆 𝗖𝗖𝗘, 𝗜𝗜𝗧 𝗠𝗮𝗻𝗱𝗶😍 Freshers get 15 LPA Average Salary with AI & ML Skills! 💻 100% Online ⏳ 6 Months Duration 👨‍🏫 Learn from IIT Professors 📌 Open for Students ,Freshers & Working Professionals 💼 Placement Assistance with 5000+ Companies 📈 High Demand Skills for Future Tech Jobs Top companies are hiring for candidates with 𝗔𝗜, 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 skills in 2026 🔥Deadline :- 17th May 𝗔𝗽𝗽𝗹𝘆 𝗡𝗼𝘄👇 :- https://pdlink.in/4nmI024 . Get Placement Assistance With 5000+ Companies

39 497

✅ Data Science: Tools You Should Know as a Beginner 🧰📊 Mastering these tools helps you build real-world data projects faster and smarter: 1️⃣ Python ✔ Most popular language in data science ✔ Libraries: NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn 📌 Use: Data cleaning, EDA, modeling, automation 2️⃣ Jupyter Notebook ✔ Interactive coding environment ✔ Great for documentation + visualization 📌 Use: Prototyping & explaining models 3️⃣ SQL ✔ Essential for querying databases 📌 Use: Data extraction, filtering, joins, aggregations 4️⃣ Excel / Google Sheets ✔ Quick analysis & reports 📌 Use: Data exploration, pivot tables, charts 5️⃣ Power BI / Tableau ✔ Drag-and-drop dashboards 📌 Use: Visual storytelling & business insights 6️⃣ Git & GitHub ✔ Track code changes + collaborate 📌 Use: Version control, building your portfolio 7️⃣ Scikit-learn ✔ Ready-to-use ML models 📌 Use: Classification, regression, model evaluation 8️⃣ Google Colab / Kaggle Notebooks ✔ Free, cloud-based Python environment 📌 Use: Practice & run notebooks without setup 🧠 Bonus: • VS Code – for scalable Python projects • APIs – for real-world data access • Streamlit – build data apps without frontend knowledge Double Tap ♥️ For More

39 497

🗄️ 𝗧𝗼𝗽 𝟱 𝗙𝗥𝗘𝗘 𝗦𝗤𝗟 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 🚀 SQL is one of the most important skills for Data Analyst & Tech jobs in 2026 🔥 These FREE certification courses can help you learn SQL from scratch & boost your resume 💼 ✨ Learn: ✔ SQL Queries & Databases 🗄️ ✔ Data Analysis Basics 📊 ✔ Real-world Projects ✔ Beginner to Advanced Concepts 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:- https://pdlink.in/4dCHiKI 💯 Beginner Friendly + FREE Certificates 🎓 💼 Perfect for Students, Freshers & Career Switchers

39 497

39 497

Want to start your career in 𝗔𝗜 & 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲😍? Learn from IIIT Bangalore & upGrad 💫 Beginner Friendly 💫 Industry Recognized Certificate 💫High Demand Career Skills 𝗕𝗼𝗼𝗸 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗻𝘀𝗲𝗹𝗹𝗶𝗻𝗴👇Now & explore your career roadmap https://pdlink.in/4twH9xg 🎓Top roles you can target: * Data Analyst , AI Engineer ,Machine Learning Engineer & Data Scientist

39 497

10 Simple Habits to Boost Your Data Science Skills 🧠📊 1) Practice data wrangling daily (Pandas, dplyr) 2) Work on small end-to-end projects (ETL, analysis, visualization) 3) Revisit and improve previous notebooks or scripts 4) Share findings in a clear, story-driven way 5) Follow data science blogs, newsletters, and researchers 6) Tackle weekly datasets or Kaggle competitions 7) Maintain a notebooks/journal with experiments and results 8) Version control your work (Git + GitHub) 9) Learn to communicate uncertainty (confidence intervals, p-values) 10) Stay curious about new tools (SQL, Python libs, ML basics) 💬 React "❤️" for more! 😊

39 497

📊 𝗧𝗼𝗽 𝟰 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗧𝗼 𝗟𝗲𝗮𝗿𝗻 𝗗𝗮𝘁𝗮 𝗶𝗻 𝟮𝟬𝟮𝟲 🚀 Want to become a Data Analyst or Data Scientist? 👀 These FREE certifications can help you build job-ready skills & strengthen your resume 🔥 ✨ Learn: ✔ SQL & Data Analytics ✔ Power BI Dashboards 📊 ✔ Data Cleaning & Visualization ✔ AI & Machine Learning Basics 🤖 💯 FREE + Beginner Friendly 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:- https://pdlink.in/4dsdTCV 🎓 Perfect for Students, Freshers & Career Switchers

39 497

✅ Complete Roadmap to Master Data Analytics in 3 Months: Month 1: Foundations Week 1: Data basics - What data analytics is - Business use cases - Types of data: structured, semi-structured, unstructured - Tools overview: Excel, SQL, Power BI or Tableau Outcome: You know where analytics fits in a company. Week 2: Excel for analysis - Data cleaning: remove duplicates, handle blanks - Core formulas: IF, VLOOKUP, XLOOKUP, COUNTIFS, SUMIFS - Sorting, filtering, conditional formatting Outcome: You clean and explore datasets fast. Week 3: SQL fundamentals - SELECT, WHERE, ORDER BY, LIMIT - Aggregations: COUNT, SUM, AVG - GROUP BY and HAVING Outcome: You pull exact data you need. Week 4: SQL joins and practice - INNER, LEFT, RIGHT joins - Handling NULLs and duplicates - Daily query practice Outcome: You combine tables with confidence. Month 2: Analysis and Visualization Week 5: Statistics for analysts - Mean, median, mode - Variance, standard deviation - Correlation with real examples Outcome: You explain numbers clearly. Week 6: Power BI or Tableau basics - Import data from Excel and SQL - Data model basics: relationships - Simple charts and tables Outcome: You build clean visuals. Week 7: Advanced visuals - KPIs, filters, slicers - Bar, line, pie, maps - Dashboard layout rules Outcome: Your dashboards tell a story. Week 8: Business analysis skills - Asking the right questions - Metrics: revenue, growth, churn - Turning insights into actions Outcome: You think like a business analyst. Month 3: Real World and Job Prep Week 9: Python basics for analytics - Python setup - Pandas basics: read CSV, filter, group - Simple analysis scripts Outcome: You automate analysis. Week 10: End to end project - Choose a dataset: sales or marketing - Clean data, analyze trends, build a dashboard Outcome: One solid portfolio project. Week 11: Interview preparation - SQL interview questions - Case studies - Explain your project clearly Outcome: You answer with structure. Week 12: Resume and practice - Analytics focused resume - GitHub or portfolio setup - Daily practice on real questions Outcome: You are job ready. Practice platforms: Kaggle datasets, LeetCode SQL, HackerRank Double Tap ♥️ For Detailed Explanation

39 497

𝗣𝗮𝘆 𝗔𝗳𝘁𝗲𝗿 𝗣𝗹𝗮𝗰𝗲𝗺𝗲𝗻𝘁 - 𝗚𝗲𝘁 𝗦𝗮𝗹𝗮𝗿𝘆 𝗣𝗮𝗰𝗸𝗮𝗴𝗲 𝗨𝗽𝘁𝗼 𝟰𝟭𝗟𝗣𝗔 😍 Upskill on the most in-demand skills in the market Learn Coding & Get Placed In Top Tech Companies 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀:- 💼 Avg. Package: ₹7.2 LPA | Highest: ₹41 LPA 𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐍𝐨𝐰 👇:- https://pdlink.in/42WOE5H Hurry! Limited seats are available.🏃‍♂️

39 497

Here are some incredible platforms where you can download datasets for your project: Our World in Data https://ourworldindata.org/ World Health Organization (https://www.who.int/data/gho Statcounter (https://gs.statcounter.com/ Food and Agriculture Organization of the UN (FAO) (https://www.fao.org/home/en World Bank (https://data.worldbank.org/)

39 497

🔍 Best Data Analytics Roles Based on Your Graduation Background! Thinking about a career in Data Analytics but unsure which role fits your background? Check out these top job roles based on your degree: 🚀 For Mathematics/Statistics Graduates: 🔹 Data Analyst 🔹 Statistical Analyst 🔹 Quantitative Analyst 🔹 Risk Analyst 🚀 For Computer Science/IT Graduates: 🔹 Data Scientist 🔹 Business Intelligence Developer 🔹 Data Engineer 🔹 Data Architect 🚀 For Economics/Finance Graduates: 🔹 Financial Analyst 🔹 Market Research Analyst 🔹 Economic Consultant 🔹 Data Journalist 🚀 For Business/Management Graduates: 🔹 Business Analyst 🔹 Operations Research Analyst 🔹 Marketing Analytics Manager 🔹 Supply Chain Analyst 🚀 For Engineering Graduates: 🔹 Data Scientist 🔹 Industrial Engineer 🔹 Operations Research Analyst 🔹 Quality Engineer 🚀 For Social Science Graduates: 🔹 Data Analyst 🔹 Research Assistant 🔹 Social Media Analyst 🔹 Public Health Analyst 🚀 For Biology/Healthcare Graduates: 🔹 Clinical Data Analyst 🔹 Biostatistician 🔹 Research Coordinator 🔹 Healthcare Consultant ✅ Pro Tip: Some of these roles may require additional certifications or upskilling in SQL, Python, Power BI, Tableau, or Machine Learning to stand out in the job market. Like if it helps ❤️

39 497

𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗙𝗥𝗘𝗘 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀😍 Kickstart Your Data Science Career In Top Tech Companies 💫Learn Tools, Skills & Mindset to Land your first Job 💫Join this free Masterclass for an expert-led session on Data Science Eligibility :- Students ,Freshers & Working Professionals 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘 :- https://pdlink.in/42hIcpO ( Limited Slots ..Hurry Up‍ ) 🔥Date & Time :- 8th May 2026 , 7:00 PM

39 497

✅ Power BI Project Ideas for Data Analysts 📊💡 Real-world projects help you stand out in job applications and interviews. 1️⃣ Sales Dashboard • Track revenue, profit, and sales by region/product • Add slicers for year, month, category • Source: Sample Superstore dataset 2️⃣ HR Analytics Dashboard • Analyze employee attrition, performance, and satisfaction • KPIs: attrition rate, avg tenure, engagement score • Use Excel or mock HR dataset 3️⃣ E-commerce Analysis • Show total orders, AOV (average order value), top-selling items • Use date filters, category breakdowns • Optional: add customer segmentation 4️⃣ Financial Report • Monthly expenses vs income • Budget variance tracking • Charts for category-wise breakdown 5️⃣ Healthcare Analytics • Hospital admissions, treatment outcomes, patient demographics • Drill-through: see patient-level detail by department • Public health datasets available online 6️⃣ Marketing Campaign Tracker • Click-through rates, conversion rates, campaign ROI • Compare across channels (email, social, paid ads) 🧠 Bonus Tips: • Use DAX to create measures • Add tooltips and slicers • Make the design clean and professional 📌 Practice Task: Choose one topic → Get a dataset → Build a dashboard → Upload screenshots to GitHub Power BI Resources: https://whatsapp.com/channel/0029Vai1xKf1dAvuk6s1v22c 💬 Tap ❤️ for more!

39 497

🚀 𝗭𝗲𝗿𝗼 𝗦𝗸𝗶𝗹𝗹𝘀 → 𝗢𝗻𝗹𝗶𝗻𝗲 𝗜𝗻𝗰𝗼𝗺𝗲 💸 (𝗔𝗜 𝗜𝘀 𝗗𝗼𝗶𝗻𝗴 𝗜𝘁 𝗔𝗹𝗹) People are literally earning online by building apps… without coding Now you can turn your ideas into websites & apps using AI in minutes 🔥 👉 No experience. No investment. Just execution. ✨ What you can do: ✔ Build apps & websites with AI 🤖 ✔ Offer services & earn from clients 💰 ✔ Start freelancing instantly ✔ Work from anywhere 🌍 🔥 Why this is blowing up: • AI tools are replacing coding barriers • Businesses are paying for fast solutions • Huge demand + low competition (right now) 𝗦𝘁𝗮𝗿𝘁 𝗡𝗼𝘄👇:- https://pdlink.in/4sRlP5d 💫 If you ignore this now, you’ll learn it later when it’s crowded

39 497

✅ End to End Data Analytics Project Roadmap Step 1. Define the business problem Start with a clear question. Example: Why did sales drop last quarter? Decide success metric. Example: Revenue, growth rate. Step 2. Understand the data Identify data sources. Example: Sales table, customers table. Check rows, columns, data types. Spot missing values. Step 3. Clean the data Remove duplicates. Handle missing values. Fix data types. Standardize text. Tools: Excel or Power Query SQL for large datasets. Step 4. Explore the data Basic summaries. Trends over time. Top and bottom performers. Examples: Monthly sales trend, top 10 products, region-wise revenue. Step 5. Analyze and find insights Compare periods. Segment data. Identify drivers. Examples: Sales drop in one region, high churn in one customer segment. Step 6. Create visuals and dashboard KPIs on top. Trends in middle. Breakdown charts below. Tools: Power BI or Tableau. Step 7. Interpret results What changed? Why it changed? Business impact. Step 8. Give recommendations Actionable steps. Example: Increase ads in high margin regions. Step 9. Validate and iterate Cross-check numbers. Ask stakeholder questions. Step 10. Present clearly One-page summary. Simple language. Focus on impact. Sample project ideas • Sales performance analysis. • Customer churn analysis. • Marketing campaign analysis. • HR attrition dashboard. Mini task • Choose one project idea. • Write the business question. • List 3 metrics you will track. Example: For Sales Performance Analysis Business Question: Why did sales drop last quarter? Metrics: 1. Revenue growth rate 2. Sales target achievement (%) 3. Customer acquisition cost (CAC) Double Tap ♥️ For More

39 497

💻 𝗙𝗿𝗲𝗲𝗹𝗮𝗻𝗰𝗲 𝗘𝗮𝗿𝗻𝗶𝗻𝗴 𝗢𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝘆 | 𝗕𝘂𝗶𝗹𝗱 𝗔𝗽𝗽𝘀 & 𝗘𝗮𝗿𝗻 𝗢𝗻𝗹𝗶𝗻𝗲 Imagine earning money by creating apps & websites using AI… without coding🔥 This platform lets you turn ideas into real apps in minutes 🤯 👉 Perfect for freelancers, beginners & side hustlers 🔥 Why you shouldn’t miss this: * Zero investment to start * High-demand skill (AI + freelancing) * Unlimited earning potential 𝗦𝘁𝗮𝗿𝘁 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗵𝗲𝗿𝗲👇:- https://pdlink.in/4e4ILub 💬 Your idea + AI = Your next income source 💸

39 497

AI & ML Project Ideas

39 497

𝗪𝗮𝗻𝘁 𝘁𝗼 𝘀𝘁𝗮𝗿𝘁 𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗳𝗿𝗲𝗲𝗹𝗮𝗻𝗰𝗲 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗯𝘂𝘁 𝗱𝗼𝗻’𝘁 𝗸𝗻𝗼𝘄 𝗵𝗼𝘄 𝘁𝗼 𝗯𝘂𝗶𝗹𝗱 𝗮𝗽𝗽𝘀?😍 This tool lets you build FULL apps (frontend + backend) just by describing your idea - NO CODING NEEDED! So instead of saying “I can’t build”, start delivering projects 👇 https://pdlink.in/4e4ILub Use it to: •⁠ ⁠Build client projects •⁠ ⁠Create portfolio apps •⁠ ⁠Test startup ideas Don’t just learn skills… use them to make money.

39 497

🚀 𝗕𝘂𝗶𝗹𝗱 𝗬𝗼𝘂𝗿 𝗢𝘄𝗻 𝗔𝗽𝗽 𝘄𝗶𝘁𝗵 𝗔𝗜 — 𝗡𝗢 𝗖𝗢𝗗𝗜𝗡𝗚 𝗡𝗘𝗘𝗗𝗘𝗗! Imagine turning your idea into a real app in minutes 🤯 You just describe your idea, and AI builds the entire app for you (frontend + backend + deployment) 💻⚡ 💡 Perfect for: • Students & Beginners , Creators & Side Hustlers & Anyone with an idea 💭 𝗦𝘁𝗮𝗿𝘁 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗵𝗲𝗿𝗲👇:- https://pdlink.in/4e4ILub 💬 Your idea + AI = Your next income source 💸 ⚡ Don’t just scroll… BUILD something today!