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Data Analytics & AI | SQL Interviews | Power BI Resources

Data Analytics & AI | SQL Interviews | Power BI Resources

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🔓Explore the fascinating world of Data Analytics & Artificial Intelligence 💻 Best AI tools, free resources, and expert advice to land your dream tech job. Admin: @coderfun Buy ads: https://telega.io/c/Data_Visual

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📈 Análisis del canal de Telegram Data Analytics & AI | SQL Interviews | Power BI Resources

El canal Data Analytics & AI | SQL Interviews | Power BI Resources (@data_visual) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 27 522 suscriptores, ocupando la posición 7 018 en la categoría Educación y el puesto 14 762 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 27 522 suscriptores.

Según los últimos datos del 01 septiembre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 189, y en las últimas 24 horas de 11, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.86%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 0.61% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 788 visualizaciones. En el primer día suele acumular 167 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 4.
  • Intereses temáticos: El contenido se centra en temas clave como |--, sql, learning, analytic, visualization.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
🔓Explore the fascinating world of Data Analytics & Artificial Intelligence 💻 Best AI tools, free resources, and expert advice to land your dream tech job. Admin: @coderfun Buy ads: https://telega.io/c/Data_Visual

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 02 septiembre, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Educación.

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27 522
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+1124 horas
+557 días
+18930 días
Archivo de publicaciones
Want to Get IT Certified in 1st Try? Come to use SPOTO study materials now!✨ 💸Free study materials include Networking, Cyber
Want to Get IT Certified in 1st Try? Come to use SPOTO study materials now!✨ 💸Free study materials include Networking, Cybersecurity, Cloud, and Project Manager filed🚀 🔗🎒Download Free E-book: https://bit.ly/497iZkp 🔗👩‍💻Test Your Python/AI/IT Skills for Free: https://bit.ly/3Z8xzn1 🔗📝Download Free Python/AI/Microsoft/Excel Study Course: https://bit.ly/4g58IYg 🌐📚 JOIN IT Study GROUP👇: https://bit.ly/405IOOR 📲Contact for 1v1 IT Certs Exam Help: https://wa.link/zcno4s

You don't need to know everything about every data tool. Focus on what will help land you your job. For Excel: - IFS (all variations) - XLOOKUP - IMPORTRANGE (in GSheets) - Pivot Tables - Dynamic functions like TODAY() For SQL: - Sum - Group By - Window Functions - CTEs - Joins For Tableau: - Calculated Columns - Sets - Groups - Formatting For Power BI: - Power Query for data transformation - DAX (Data Analysis Expressions) for creating custom calculations - Relationships between tables - Creating interactive and dynamic dashboards - Utilizing slicers and filters effectively I have created 100-Day Roadmap & Resources for Data Analyst 👇👇 https://topmate.io/analyst/861634 Hope it helps :)

10 Tools for SQL Developers 🛠📊 - 📄 SQL Server Management Studio (SSMS) - Manage and query SQL Server databases 🌐 phpMyAdmin - Web-based tool for MySQL database management 🔍 DBeaver - Universal database management tool 📊 Tableau - Data visualization and BI tool ⚙️ SQL Workbench/J - Cross-platform SQL query tool 🔐 pgAdmin - Management tool for PostgreSQL 🚀 Azure Data Studio - Lightweight and extensible data tool 📦 Toad for SQL - Database development and administration 📈 Datagrip - JetBrains SQL IDE for various databases 📂 HeidiSQL - Lightweight MySQL and MSSQL client #SQLTools #DataAnalysis

Preparing for an online data analyst interview? Here’s a complete guide to ensure you’re ready to impress: 1. Mental Preparation Visualize Success: Imagine yourself confidently answering questions and solving problems. Stay Calm: Practice relaxation techniques like deep breathing or meditation to manage interview stress. Set Clear Goals: Define what you aim to achieve and focus on showcasing your strengths. 2. Technical Setup Check Your Equipment: Test your computer, camera, microphone, and internet connection to avoid technical glitches. Platform Familiarity: Familiarize yourself with the video conferencing tool (Zoom, Teams, etc.) and ensure it’s updated. Professional Background: Choose a clean, well-lit space or use a virtual background if necessary. 3. Environment Quiet Space: Select a quiet room free from interruptions and let others know about your interview schedule. Lighting and Camera: Position your camera at eye level and ensure you’re well-lit from the front to avoid shadows. 4. Interview Preparation Review Key Concepts: Brush up on SQL, data manipulation, and visualization tools relevant to the role. Practice with Online Tools: Get comfortable with online whiteboards or screen-sharing features if they’ll be used. Prepare Your Questions: Develop insightful questions about the role, team, and company. 5. Day Before the Interview Test Your Setup: Conduct a trial run with a friend or family member to ensure everything works smoothly. Organize Documents: Have your resume, cover letter, and any required documents easily accessible on your computer. Dress Professionally: Choose professional attire to set the right tone and boost your confidence. 6. Interview Day Log in Early: Join the meeting a few minutes early to resolve any last-minute issues and show punctuality. Engage Actively: Maintain eye contact by looking at the camera, and engage thoughtfully with the interviewer. I have curated best 80+ top-notch Data Analytics Resources 👇👇 https://topmate.io/analyst/861634 Hope this helps you 😊

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Coding is just like the language we use to talk to computers. It's not the skill itself, but rather how do I innovate? How do I build something interesting for my end users? In a recently leaked recording, AWS CEO told employees that most developers could stop coding once AI takes over, predicting this is likely to happen within 24 months. Instead of AI replacing developers or expecting a decline in this role, I believe he meant that responsibilities of software developers would be changed significantly by AI. Being a developer in 2025 may be different from what it was in 2020, Garman, the CEO added. Meanwhile, Amazon's AI assistant has saved the company $260M & 4,500 developer years of work by remarkably cutting down software upgrade times. Amazon CEO also confirmed that developers shipped 79% of AI-generated code reviews without changes. I guess with all the uncertainty, one thing is clear: Ability to quickly adjust and collaborate with AI will be important soft skills more than ever in the of AI.

✅𝟓-𝐒𝐭𝐞𝐩 𝐑𝐨𝐚𝐝𝐦𝐚𝐩 𝐭𝐨 𝐒𝐰𝐢𝐭𝐜𝐡 𝐢𝐧𝐭𝐨 𝐭𝐡𝐞 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐅𝐢𝐞𝐥𝐝✅ 💁‍♀️𝐁𝐮𝐢𝐥𝐝 𝐊𝐞𝐲 𝐒𝐤𝐢𝐥𝐥𝐬: Focus on core skills—Excel, SQL, Power BI, and Python. 💁‍♀️𝐇𝐚𝐧𝐝𝐬-𝐎𝐧 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬: Apply your skills to real-world data sets. Projects like sales analysis or customer segmentation show your practical experience. You can find projects on Youtube. 💁‍♀️𝐅𝐢𝐧𝐝 𝐚 𝐌𝐞𝐧𝐭𝐨𝐫: Connect with someone experienced in data analytics for guidance(like me 😅). They can provide valuable insights, feedback, and keep you on track. 💁‍♀️𝐂𝐫𝐞𝐚𝐭𝐞 𝐏𝐨𝐫𝐭𝐟𝐨𝐥𝐢𝐨: Compile your projects in a portfolio or on GitHub. A solid portfolio catches a recruiter’s eye. 💁‍♀️𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞 𝐟𝐨𝐫 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰𝐬: Practice SQL queries and Python coding challenges on Hackerrank & LeetCode. Strengthening your problem-solving skills will prepare you for interviews.

Decagon and OpenAI deliver high-performance, fully automated customer support at scale Launched in 2023, Decagon⁠(opens in a
Decagon and OpenAI deliver high-performance, fully automated customer support at scale Launched in 2023, Decagon⁠(opens in a new window) has quickly become a key player in automating customer support for companies like Curology, BILT, Duolingo, Eventbrite, Notion, and Substack. OpenAI’s models are crucial in their ability to deliver fast, reliable responses—without human intervention. From enterprises to tech-forward startups, Decagon helps businesses globally handle millions of support conversations without sacrificing quality or speed. The company uses a combination of OpenAI’s models—including GPT-3.5, 4, 4o, 4 Turbo, and OpenAI o1-mini—to deliver agentic bots that go beyond response generation and service the entire customer lifecycle.

Artificial intelligence.pdf7.06 MB

Oil bosses have big hopes for the AI boom Data centres are fuelling demand for natural gas—for now This week 180,000 people d
Oil bosses have big hopes for the AI boom Data centres are fuelling demand for natural gas—for now This week 180,000 people descended on Abu Dhabi to attend ADIPEC, the global oil-and-gas industry’s biggest annual gathering. This year’s focus, perhaps unsurprisingly, was the nexus of artificial intelligence (AI) and energy. On the eve of the jamboree Sultan Al Jaber, chief executive of ADNOC, the Emirati national oil giant, convened a private meeting of big tech and big energy bosses. A survey of some 400 energy, tech and finance bigwigs released in conjunction with the event concluded that AI is set to transform the energy business by boosting efficiency and cutting greenhouse-gas emissions.

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The GPT-4 model outperformed GPT-3 and GPT-3.5 language models
The GPT-4 model outperformed GPT-3 and GPT-3.5 language models

7 best Telegram Channels to break into data analytics and data science: 1. Data Science & Machine Learning - 𝐋𝐢𝐧𝐤: (https://t.me/datasciencefun) - Subscribers: ~48k 2. Python for Data Analysts - 𝐋𝐢𝐧𝐤: (https://t.me/pythonanalyst) - Subscribers: ~34.8k 3. SQL For Data Analytics - 𝐋𝐢𝐧𝐤: (https://t.me/sqlanalyst) - Subscribers: ~58.9k 4. Power BI & Tableau - 𝐋𝐢𝐧𝐤: (t.me/PowerBI_analyst) - Subscribers: ~36.1k 5. Artificial Intelligence - 𝐋𝐢𝐧𝐤: (https://t.me/machinelearning_deeplearning) - Subscribers: ~28.7k 6. Coding Interviews - 𝐋𝐢𝐧𝐤: (https://t.me/crackingthecodinginterview) - Subscribers: 38.6k 7. Data Science Interviews - 𝐋𝐢𝐧𝐤: (https://t.me/DataScienceInterviews) - Subscribers: ~12.5k These channels are maintained by various individuals and organizations, each offering valuable resources for learning and practicing data analytics and data science.