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📈 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.

📊 Audience metrics and dynamics

Since its creation on невідомо, 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.

📝 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.

39 494

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

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𝗙𝗥𝗘𝗘 𝗢𝗻𝗹𝗶𝗻𝗲 𝗔𝗜 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 𝗕𝘆 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁’𝘀 𝗦𝗲𝗻𝗶𝗼𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁😍 Become an AI-Powered Engineer In 2025 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀:- - Build Real-World Agentic AI Systems - Led by a Microsoft AI Specialist - Live Q&A Sessions 𝗘𝗹𝗶𝗴𝗶𝗯𝗶𝗹𝗶𝘁𝘆:- Experienced Professionals 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:- https://pdlink.in/4n0gkPW Date & Time:- 18 June 2025,7 PM IST 🏃‍♂️Limited Slots – Register Now!

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Source codes for data science projects 👇👇 1. Build chatbots: https://dzone.com/articles/python-chatbot-project-build-your-first-python-pro 2. Credit card fraud detection: https://www.kaggle.com/renjithmadhavan/credit-card-fraud-detection-using-python 3. Fake news detection https://data-flair.training/blogs/advanced-python-project-detecting-fake-news/ 4.Driver Drowsiness Detection https://data-flair.training/blogs/python-project-driver-drowsiness-detection-system/ 5. Recommender Systems (Movie Recommendation) https://data-flair.training/blogs/data-science-r-movie-recommendation/ 6. Sentiment Analysis https://data-flair.training/blogs/data-science-r-sentiment-analysis-project/ 7. Gender Detection & Age Prediction https://www.pyimagesearch.com/2020/04/13/opencv-age-detection-with-deep-learning/ 𝗘𝗡𝗝𝗢𝗬 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚👍👍

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𝟭𝟬𝟬𝟬+ 𝗙𝗿𝗲𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗯𝘆 𝗜𝗻𝗳𝗼𝘀𝘆𝘀 – 𝗟𝗲𝗮𝗿𝗻, 𝗚𝗿𝗼𝘄, 𝗦𝘂𝗰𝗰𝗲𝗲𝗱!😍 🚀 Looking to upgrade your skills without spending a rupee?💰 Here’s your golden opportunity to unlock 1,000+ certified online courses across technology, business, communication, leadership, soft skills, and much more — all absolutely FREE on Infosys Springboard!🔥 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/43UcmQ7 Save this blog, sign up, and start your upskilling journey today!✅️

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SQL Basics for Beginners: Must-Know Concepts 1. What is SQL? SQL (Structured Query Language) is a standard language used to communicate with databases. It allows you to query, update, and manage relational databases by writing simple or complex queries. 2. SQL Syntax SQL is written using statements, which consist of keywords like SELECT, FROM, WHERE, etc., to perform operations on the data. - SQL keywords are not case-sensitive, but it's common to write them in uppercase (e.g., SELECT, FROM). 3. SQL Data Types Databases store data in different formats. The most common data types are: - INT (Integer): For whole numbers. - VARCHAR(n) or TEXT: For storing text data. - DATE: For dates. - DECIMAL: For precise decimal values, often used in financial calculations. 4. Basic SQL Queries Here are some fundamental SQL operations: - SELECT Statement: Used to retrieve data from a database.

     SELECT column1, column2 FROM table_name;

- WHERE Clause: Filters data based on conditions.

     SELECT * FROM table_name WHERE condition;

- ORDER BY: Sorts data in ascending (ASC) or descending (DESC) order.

     SELECT column1, column2 FROM table_name ORDER BY column1 ASC;

- LIMIT: Limits the number of rows returned.

     SELECT * FROM table_name LIMIT 5;

5. Filtering Data with WHERE Clause The WHERE clause helps you filter data based on a condition:

   SELECT * FROM employees WHERE salary > 50000;

You can use comparison operators like: - =: Equal to - >: Greater than - <: Less than - LIKE: For pattern matching 6. Aggregating Data SQL provides functions to summarize or aggregate data: - COUNT(): Counts the number of rows.

     SELECT COUNT(*) FROM table_name;

- SUM(): Adds up values in a column.

     SELECT SUM(salary) FROM employees;

- AVG(): Calculates the average value.

     SELECT AVG(salary) FROM employees;

- GROUP BY: Groups rows that have the same values into summary rows.

     SELECT department, AVG(salary) FROM employees GROUP BY department;

7. Joins in SQL Joins combine data from two or more tables: - INNER JOIN: Retrieves records with matching values in both tables.

     SELECT employees.name, departments.department
     FROM employees
     INNER JOIN departments
     ON employees.department_id = departments.id;

- LEFT JOIN: Retrieves all records from the left table and matched records from the right table.

     SELECT employees.name, departments.department
     FROM employees
     LEFT JOIN departments
     ON employees.department_id = departments.id;

8. Inserting Data To add new data to a table, you use the INSERT INTO statement:

   INSERT INTO employees (name, position, salary) VALUES ('John Doe', 'Analyst', 60000);

9. Updating Data You can update existing data in a table using the UPDATE statement:

   UPDATE employees SET salary = 65000 WHERE name = 'John Doe';

10. Deleting Data To remove data from a table, use the DELETE statement:

    DELETE FROM employees WHERE name = 'John Doe';

Here you can find essential SQL Interview Resources👇 https://t.me/DataSimplifier Like this post if you need more 👍❤️ Hope it helps :)

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𝟰 𝗛𝗶𝗴𝗵-𝗜𝗺𝗽𝗮𝗰𝘁 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝗟𝗮𝘂𝗻𝗰𝗵 𝗬𝗼𝘂𝗿 𝗖𝗮𝗿𝗲𝗲𝗿 𝗶𝗻 𝟮𝟬𝟮𝟱😍 These globally recognized certifications from platforms like Google, IBM, Microsoft, and DataCamp are beginner-friendly, industry-aligned, and designed to make you job-ready in just a few weeks 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4kC18XE These courses help you gain hands-on experience — exactly what top MNCs look for!✅️

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𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗙𝗥𝗘𝗘 𝗢𝗻𝗹𝗶𝗻𝗲 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 😍 4 Steps to Kickstart Your Career in Data Science Master Essential Tools: Get started with Python, SQL, and machine learning fundamentals. Create a Job-Ready Portfolio: Learn how to showcase your skills to recruiters. Eligibility :- Students,Freshers & Woking Professionals 𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐅𝐨𝐫 𝐅𝐑𝐄𝐄 👇:- https://pdlink.in/45kGSVL (Limited Slots ..HurryUp🏃‍♂️ ) 𝐃𝐚𝐭𝐞 & 𝐓𝐢𝐦𝐞:- June 13 2025, at 7 PM

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𝐈𝐁𝐌 𝐅𝐑𝐄𝐄 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞𝐬😍 🚀 Dive into the world of Data Analytics with these 6 free courses by IBM! Gain practical knowledge and stand out in your career with tools designed for real-world applications. All courses come with expert guidance and are free to access!🎉 𝐋𝐢𝐧𝐤 👇:- https://bit.ly/4iXOmmb Enroll For FREE & Get Certified 🎓

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🚨 𝗔𝘁𝘁𝗲𝗻𝘁𝗶𝗼𝗻 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀 𝘄𝗶𝘁𝗵 𝟮+ 𝗬𝗲𝗮𝗿𝘀 𝗼𝗳 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 Are you from a Circuit Branch with coding experience and based in Bengaluru, Chennai, Hyderabad, or Pune? 💡 It’s time to upgrade to Agentic AI – the future of intelligent systems. Join Interview Kickstart’s 4-Week Agentic AI Bootcamp 👨‍💼 Learn from Microsoft Engineers 🛠️ Build a production-ready AI app 📜 Get certified & upskill in real-world GenAI 👉 𝗔𝗽𝗽𝗹𝘆 𝗻𝗼𝘄 – 𝗟𝗶𝗺𝗶𝘁𝗲𝗱 𝘀𝗹𝗼𝘁𝘀 𝗼𝗻𝗹𝘆! https://pdlink.in/4dQYCKw 🚀 Only for 2+ Yrs Exp professionals ready to lead the AI shift.

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𝗧𝗼𝗽 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝗔𝘀𝗸𝗲𝗱 𝗯𝘆 𝗜𝗕𝗠, 𝗗𝗲𝗹𝗼𝗶𝘁𝘁𝗲 & 𝗖𝗮𝗽𝗴𝗲𝗺𝗶𝗻𝗶😍 🎯 Preparing for a Data Analytics Interview?🗣 Whether you’re a fresh graduate or an experienced professional, one thing is certain — interviewers expect you to know your data tools inside out👨‍🎓📌 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4jLOJ2a Stand out from the competition✅️

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𝟲 𝗙𝗥𝗘𝗘 𝗢𝗻𝗹𝗶𝗻𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗧𝗼 𝗖𝗵𝗮𝗻𝗴𝗲 𝗬𝗼𝘂𝗿 𝗖𝗮𝗿𝗲𝗲𝗿 𝗜𝗻 𝟮𝟬𝟮𝟱 😍 🎯 Want to switch careers or upgrade your skills — without spending a single rupee? Check out 6 handpicked, beginner-friendly courses in high-demand fields like Data Science, Web Development, Digital Marketing, Project Management, and more. 🚀 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4e1I17a 💥 Start learning today and build the skills top companies want!✅️

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𝟱 𝗣𝗼𝘄𝗲𝗿𝗳𝘂𝗹 𝗚𝗶𝘁𝗛𝘂𝗯 𝗥𝗲𝗽𝗼𝘀𝗶𝘁𝗼𝗿𝗶𝗲𝘀 𝘁𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗣𝘆𝘁𝗵𝗼𝗻 𝗳𝗼𝗿 𝗙𝗿𝗲𝗲😍 Looking to Master Python for Free?✨️ These 5 GitHub repositories are all you need to level up — from beginner to advanced! 💻 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3FG7DcW 📌 Save this post & share it with a Python learner!

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𝗧𝗼𝗽 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗛𝗶𝗿𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁𝘀/𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗔𝗻𝗮𝗹𝘆𝘀𝘁𝘀 😍 Companies Hiring:- - Goldman Sachs - S&P Global - Google - JP Morgan - Pepsico - PwC Salary Range :- 5 To 24LPA Job Location :- PAN India 𝐀𝐩𝐩𝐥𝐲 𝐧𝐨𝐰👇:- https://bit.ly/44qMX2k Apply before the link expires💫

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🔟 Data Analyst Project Ideas for Beginners 1. Sales Analysis Dashboard: Use tools like Excel or Tableau to create a dashboard analyzing sales data. Visualize trends, top products, and seasonal patterns. 2. Customer Segmentation: Analyze customer data using clustering techniques (like K-means) to segment customers based on purchasing behavior and demographics. 3. Social Media Metrics Analysis: Gather data from social media platforms to analyze engagement metrics. Create visualizations to highlight trends and performance. 4. Survey Data Analysis: Conduct a survey and analyze the results using statistical techniques. Present findings with visualizations to showcase insights. 5. Exploratory Data Analysis (EDA): Choose a public dataset and perform EDA using Python (Pandas, Matplotlib) or R (tidyverse). Summarize key insights and visualizations. 6. Employee Performance Analysis: Analyze employee performance data to identify trends in productivity, turnover rates, and training effectiveness. 7. Public Health Data Analysis: Use datasets from public health sources (like CDC) to analyze trends in health metrics (e.g., vaccination rates, disease outbreaks) and visualize findings. 8. Real Estate Market Analysis: Analyze real estate listings to find trends in pricing, location, and features. Use data visualization to present your findings. 9. Weather Data Visualization: Collect weather data and analyze trends over time. Create visualizations to show changes in temperature, precipitation, or extreme weather events. 10. Financial Analysis: Analyze a company’s financial statements to assess its performance over time. Create visualizations to highlight key financial ratios and trends. Data Analytics Resources 👇👇 https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02 Hope it helps :)

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𝟱 𝗙𝗿𝗲𝗲 𝗠𝗜𝗧 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗬𝗼𝘂 𝗖𝗮𝗻 𝗧𝗮𝗸𝗲 𝗢𝗻𝗹𝗶𝗻𝗲 𝗶𝗻 𝟮𝟬𝟮𝟱😍 🎓No MIT Admission? No Problem — Learn from MIT for Free!🔥 MIT is known for world-class education—but you don’t need to walk its halls to access its knowledge📚📌 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4jBNtP2 These courses offer industry-relevant skills & completion certificates at no cost✅️

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𝟭𝟬𝟬% 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍 𝗦𝗤𝗟:- https://pdlink.in/3TcvfsA 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲:- https://pdlink.in/3Hfpwjc 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗦𝗰𝗶𝗲𝗻𝗰𝗲:- https://pdlink.in/3ZyQpFd 𝗣𝘆𝘁𝗵𝗼𝗻 :- https://pdlink.in/3Hnx3wh 𝗗𝗲𝘃𝗢𝗽𝘀 :- https://pdlink.in/4jyxBwS 𝗪𝗲𝗯 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 :- https://pdlink.in/4jCAtJ5 Enroll for FREE & Get Certified 🎓

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Please go through this top 10 SQL projects with Datasets that you can practice and can add in your resume 📌1. Social Media Analytics: (https://www.kaggle.com/amanajmera1/framingham-heart-study-dataset) 🚀2. Web Analytics: (https://www.kaggle.com/zynicide/wine-reviews) 📌3. HR Analytics: (https://www.kaggle.com/pavansubhasht/ibm-hr-analytics- attrition-dataset) 🚀4. Healthcare Data Analysis: (https://www.kaggle.com/cdc/mortality) 📌5. E-commerce Analysis: (https://www.kaggle.com/olistbr/brazilian-ecommerce) 🚀6. Inventory Management: (https://www.kaggle.com/datasets? search=inventory+management) 📌 7.Customer Relationship Management: (https://www.kaggle.com/pankajjsh06/ibm-watson- marketing-customer-value-data) 🚀8. Financial Data Analysis: (https://www.kaggle.com/awaiskalia/banking-database) 📌9. Supply Chain Management: (https://www.kaggle.com/shashwatwork/procurement-analytics) 🚀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 it’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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𝗦𝗤𝗟 𝟭𝟬𝟬% 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍 Looking to master SQL for Data Analytics or prep for your dream tech job? 💼 These 3 Free SQL resources will help you go from beginner to job-ready—without spending a single rupee! 📊✨ 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3TcvfsA 💥 Start learning today and build the skills top companies want!✅️

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𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 & 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗔𝗿𝗲 𝗠𝗼𝘀𝘁 𝗗𝗲𝗺𝗮𝗻𝗱𝗶𝗻𝗴 𝗖𝗮𝗿𝗲𝗲𝗿𝘀 𝗜𝗻 𝟮𝟬𝟮𝟱 😍 Learn Full Stack Development | Data Analytics & Data Science Curriculum designed and taught by Alumni from IITs & Leading Tech Companies. 60+ Hiring Drives Every Month 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:- 🌟 500+ Hiring Partners 🤝Trusted by 7500+ Students 💼 Avg. Rs. 7.2 LPA 🚀 41 LPA Highest Package 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 :- https://pdlink.in/4hO7rWY 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 :- https://bit.ly/4g3kyT6 Hurry, limited seats available!🏃‍♀️

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𝗟𝗲𝗮𝗿𝗻 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗳𝗼𝗿 𝗙𝗿𝗲𝗲 𝗼𝗻 𝗬𝗼𝘂𝗧𝘂𝗯𝗲 – 𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗣𝗹𝗮𝘆𝗹𝗶𝘀𝘁 𝗚𝘂𝗶𝗱𝗲😍 🎥 YouTube is the ultimate free classroom—and this is your Data Analytics syllabus in one post!👨‍💻 From Python and SQL to Power BI, Machine Learning, and Data Science, these carefully curated playlists will take you from complete beginner to job-ready✨️📌 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4jzVggc Enjoy Learning ✅️

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7 High-Impact Portfolio Project Ideas for Aspiring Data Analysts ✅ Sales Dashboard – Use Power BI or Tableau to visualize KPIs like revenue, profit, and region-wise performance ✅ Customer Churn Analysis – Predict which customers are likely to leave using Python (Logistic Regression, EDA) ✅ Netflix Dataset Exploration – Analyze trends in content types, genres, and release years with Pandas & Matplotlib ✅ HR Analytics Dashboard – Visualize attrition, department strength, and performance reviews ✅ Survey Data Analysis – Clean, visualize, and derive insights from user feedback or product surveys ✅ E-commerce Product Analysis – Analyze top-selling products, revenue by category, and return rates ✅ Airbnb Price Predictor – Use machine learning to predict listing prices based on location, amenities, and ratings These projects showcase real-world skills and storytelling with data. Share with credits: https://t.me/sqlspecialist Hope it helps :)