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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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📈 Аналітичний огляд Telegram-каналу Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources

Канал Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources (@sqlproject) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 39 605 підписників, посідаючи 4 697 місце в категорії Освіта та 9 545 місце у регіоні Індія.

📊 Показники аудиторії та динаміка

З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 39 605 підписників.

За останніми даними від 29 жовтня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на -48, а за останні 24 години на -5, загальне охоплення залишається високим.

  • Статус верифікації: Не верифікований
  • Рівень залученості (ER): Середній показник залученості аудиторії становить 2.24%. Протягом перших 24 годин після публікації контент зазвичай збирає 0.70% реакцій від загальної кількості підписників.
  • Охоплення публікацій: В середньому кожен допис отримує 886 переглядів. Протягом першої доби публікація в середньому набирає 276 переглядів.
  • Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 3.
  • Тематичні інтереси: Контент зосереджений навколо ключових тем, таких як analytic, dataset, visualization, sql, learning.

📝 Опис та контентна політика

Автор описує ресурс як майданчик для висловлення суб'єктивної думки:
“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”

Завдяки високій частоті оновлень (останні дані отримано 30 жовтня, 2026), канал підтримує актуальність та високий рівень охоплення публікацій. Аналітика показує, що аудиторія активно взаємодіє з контентом, що робить його важливою точкою впливу в категорії Освіта.

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𝟰 𝗛𝗶𝗴𝗵-𝗜𝗺𝗽𝗮𝗰𝘁 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝗟𝗮𝘂𝗻𝗰𝗵 𝗬𝗼𝘂𝗿 𝗖𝗮𝗿𝗲𝗲𝗿 𝗶�
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𝗧𝗼𝗽 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝗔𝘀𝗸𝗲𝗱 𝗯𝘆 𝗜𝗕𝗠, 𝗗𝗲𝗹𝗼𝗶𝘁𝘁𝗲 & 𝗖𝗮𝗽𝗴�
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✅️

𝟲 𝗙𝗥𝗘𝗘 𝗢𝗻𝗹𝗶𝗻𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗧𝗼 𝗖𝗵𝗮𝗻𝗴𝗲 𝗬𝗼𝘂𝗿 𝗖𝗮𝗿𝗲𝗲𝗿 𝗜𝗻 𝟮𝟬𝟮𝟱 😍 🎯 Want to swi
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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🔟 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 :)

𝟱 𝗙𝗿𝗲𝗲 𝗠𝗜𝗧 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗬𝗼𝘂 𝗖𝗮𝗻 𝗧𝗮𝗸𝗲 𝗢𝗻𝗹𝗶𝗻𝗲 𝗶𝗻 𝟮𝟬𝟮𝟱😍 🎓No MIT Admission? No Problem — Learn
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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 🎓

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

𝗦𝗤𝗟 𝟭𝟬𝟬% 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍 Looking to master SQL for Data Analytics or prep for you
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𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 & 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗔𝗿𝗲 𝗠𝗼𝘀𝘁 𝗗𝗲𝗺𝗮𝗻𝗱𝗶𝗻𝗴 𝗖𝗮𝗿𝗲𝗲𝗿𝘀 𝗜𝗻 �
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