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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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📈 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 39 600 subscribers, ranking 4 697 in the Education category and 9 545 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 39 600 subscribers.

According to the latest data from 29 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -48 over the last 30 days and by -5 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 2.24%. Within the first 24 hours after publication, content typically collects 0.70% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 886 views. Within the first day, a publication typically gains 276 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 30 October, 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.

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39 600
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Posts Archive
Want to Become a Business Analyst? Here's Free Roadmap to Become Business Analyst in 3 Months! Link: https://tinyurl.com/mvtmn82a (Link expires in Soon, Get your Roadmap Now)

Want to Become a Business Analyst? Here's Free Roadmap to Become Business Analyst in 3 Months! Link: https://link.guvi.in/SQLspecialist01398 (Link expires in Soon, Get your Roadmap Now)

Practical Python and OpenCV.pdf8.40 MB

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Free Data Science Session ✅ 👉 Data Visualization Tools and Techniques. 👉 Free Data Science Roadmap. 👉 Tips and Tricks to Ace Interviews Directly from Industry Experts. Registration Link: https://link.guvi.in/SQLspecialist01315 ENJOY LEARNING 👍👍

🖥 Roadmap to become Data Analyst
🖥 Roadmap to become Data Analyst

🚀 Free Webinar Series: "To Become a Successfull Data scientist" 👉 Register here: https://link.guvi.in/SQLspecialist01214 📅 Date: Dec 26 ⏰ Time: 7 PM In this Webinar, You Will Learn: ✅ Basics of Data science ✅ Essential tools & languages (Python, TensorFlow, etc.) ✅ Real-world Data science applications ✅ Career roadmap to become an Data scientist ✅ Tips from industry experts! Don't miss out! Limited seats available. 🏃‍♂💨

✅ Guide for Freshers ✅ Here are some tips that can help a fresher get a job easily: 🔠Build a strong resume: Your resume is the first thing that employers see, so make sure it is well-written and highlights your key skills and experiences. 🔠Network: Reach out to alumni, professors, colleagues, and other professionals in your field. Attend job fairs, networking events, and career expos to get exposure to potential employers. 🔠Apply for internships: Internships are a great way to gain work experience and make valuable connections. Apply for internships in your field to gain practical knowledge. 🔠Focus on your skills: Employers look for candidates who have relevant skills for the job. Focus on developing skills specific to your field and showcase them in your resume and interviews. 🔠Prepare for job interviews: Research the company, dress appropriately, and rehearse answers to common interview questions. Show that you are enthusiastic about the job and willing to learn. 🔠Be open to opportunities: Don't limit yourself to only applying for jobs that are exactly what you are looking for. Be open to job opportunities that may not be the exact fit to your skill set, it may open doors for future opportunities. ✔️Maintain 5 important skills✔️ ✅Leadership Skills ✅Technical Skills ✅Communication Skills ✅Managerial Skills ✅Problem Solving Skills 💰Top Companies to join as a fresher💰 ✔️Google https://buildyourfuture.withgoogle.com/apprenticeships ✔️Amazon https://www.amazon.jobs/en/landing_pages/apprentices ✔️Bain & Company https://www.bain.com/careers/ ✔️PayPal https://careers.pypl.com/university-hiring/university-overview/ ✔️Microsoft https://careers.microsoft.com/v2/global/en/students ✔️IBM https://www.ibm.com/careers/us-en/early-career/entry-level/ ✔️Getjobss https://t.me/getjobss ✔️Open Ai https://openai.com/careers/search ✔️Adobe https://www.adobe.com/careers/ ✔️Cisco https://jobs.cisco.com/jobs/SearchJobs/ ✔️Stripe https://stripe.com/jobs/search ✔️Roblox https://jobs.roblox.com/careers?domain=roblox.com ✔️Nvidia https://www.nvidia.com/en-us/research/internships/ ✔️Coinbase https://www.coinbase.com/careers/positions

AI Journey 2024: Glimpse into AI-Driven Future The AI Journey International Conference on Artificial Intelligence and Machine Learning once again brought together developers, scientists, and AI enthusiasts. With 200 speakers from more than ten countries, including China, India, UAE, Indonesia, and Iran, the conference glimpsed an AI-enriched future. AI Journey was held in Moscow on December 11–13, with each day highlighting a different track: Society, Business and Science. On December 11, the focus was on Society, where BRICS experts, business and government representatives discussed the key role of technologies and AI as a means to address social issues. Attendees gained insights into various AI-related success stories and how AI supports the sustainable development of the planet. December 12 was dedicated to Business. This track featured leading experts such as Jaspreet Bindra, Dr. Aisha Bin Bishr, Janet Sawari, Karuna Gopal, and Hammam Riza, who elaborated on real-world implementation of AI in business, and how business and industry can benefit from it. December 13 was all about Science. Sessions featured international researchers sharing insights into the latest AI technology and the AI’s impact on research and science in general. Swagatam Das, Vladimir Spokoiny, Dedi Darwis, Gonzalo Ferrer, and other international experts delved into the latest scientific advances ranging from generative models and quantum technologies to cybersecurity, educational tools and medicine. Speakers from Sber, Moscow Institute of Physics and Technology, Innopolis University and others shared how AI is transforming learning, development, reading, and art in everyday life. The Science Day also immersed all AI newbies in the world of artificial intelligence with a special AIJ Junior track. The AI Journey hosted the awards ceremony for the finalists of the AI Challenge for young data scientists and the AIJ Contest for experienced AI professionals. Watch the recording. Be up to date with the top AI news!

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Hello friends, I hope you all are very well, see many of you are messaging me about the roadmap and career of Python, Java, Power BI, SQL, message everyone one by one for me, so I created a WhatsApp group where you get all this, I give the link below, you can join it from here 👇 https://whatsapp.com/channel/0029Vamhzk5JENy1Zg9KmO2g

AI/ML (Daily Schedule) 👨🏻‍💻 Morning: - 9:00 AM - 10:30 AM: ML Algorithms Practice - 10:30 AM - 11:00 AM: Break - 11:00 AM - 12:30 PM: AI/ML Theory Study Lunch: - 12:30 PM - 1:30 PM: Lunch and Rest Afternoon: - 1:30 PM - 3:00 PM: Project Development - 3:00 PM - 3:30 PM: Break - 3:30 PM - 5:00 PM: Model Training/Testing Evening: - 5:00 PM - 6:00 PM: Review and Debug - 6:00 PM - 7:00 PM: Dinner and Rest Late Evening: - 7:00 PM - 8:00 PM: Research and Reading - 8:00 PM - 9:00 PM: Reflect and Plan Best Data Science & Machine Learning Resources: https://topmate.io/coding/914624 ENJOY LEARNING 👍👍

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Stock Market Price prediction using Regression.pdf1.16 MB

Regression_basic_project .pdf1.63 KB