Data Engineers
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Forwarded from Generative AI
๐Ÿฐ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐— ๐—ถ๐—ฐ๐—ฟ๐—ผ๐˜€๐—ผ๐—ณ๐˜ ๐—š๐—ฒ๐—ป๐—ฒ๐—ฟ๐—ฎ๐˜๐—ถ๐˜ƒ๐—ฒ ๐—”๐—œ ๐—ง๐—ฟ๐—ฎ๐—ถ๐—ป๐—ถ๐—ป๐—ด ๐— ๐—ผ๐—ฑ๐˜‚๐—น๐—ฒ๐˜€ ๐˜๐—ผ ๐—•๐—ผ๐—ผ๐˜€๐˜ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—ฆ๐—ธ๐—ถ๐—น๐—น๐˜€๐Ÿ˜

Generative AI is no longer just a buzzwordโ€”itโ€™s a career-maker๐Ÿง‘โ€๐Ÿ’ป๐Ÿ“Œ

Recruiters are actively looking for candidates with prompt engineering skills, hands-on AI experience, and the ability to use tools like GitHub Copilot and Azure OpenAI effectively.๐Ÿ–ฅ

๐‹๐ข๐ง๐ค๐Ÿ‘‡:-

https://pdlink.in/4fKT5pL

If youโ€™re looking to stand out in interviews, land AI-powered roles, or future-proof your career, this is your chance
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๐Ÿ“Œ ๐Ÿš€ How to Build a Personal Brand as a Data Analyst

Want to stand out in the competitive job market? Build your personal brand using these strategies:

โœ… 1. Share Your Work Publicly โ€“ Post SQL/Python projects on LinkedIn, Medium, or GitHub.

โœ… 2. Engage with Data Communities โ€“ Follow & contribute to Kaggle, DataCamp, or Analytics Vidhya.

โœ… 3. Write About Data โ€“ Share blog posts on real-world data insights & case studies.

โœ… 4. Present at Meetups/Webinars โ€“ Gain visibility & network with industry experts.

โœ… 5. Optimize LinkedIn & GitHub โ€“ Highlight your skills, certifications, and projects.


๐Ÿ’ก Start with one personal branding activity this week.
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Q: How do you import data from various sources (Excel, SQL Server, CSV) into Power BI?

A: Hereโ€™s how to handle multi-source imports in Power BI Desktop:

1. Excel:

ยฐ Go to Home > Get Data > Excel

ยฐ Select your file & sheets or tables



2. CSV:

ยฐ Choose Get Data > Text/CSV

ยฐ Browse and load the file



3. SQL Server:

ยฐ Select Get Data > SQL Server

ยฐ Enter server/database name

ยฐ Use a query or select tables directly



4. Combine Sources:

ยฐ Use Power Query to transform, merge, or append tables

ยฐ Create relationships in the Model view


Pro Tip:
Use consistent data types and naming to make transformations smoother across sources!
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Greetings from PVR Cloud Tech!! ๐ŸŒˆ

๐Ÿš€ Kickstart Your Career in Azure Data Engineering โ€“ The Smart Way in 2025!

๐Ÿ“Œ Start Date: 30th August 2025

โฐ Time: 7 AM โ€“ 8 AM IST | Saturday

๐Ÿ”น Course Content :

https://drive.google.com/file/d/1YufWV0Ru6SyYt-oNf5Mi5H8mmeV_kfP-/view

๐Ÿ“ฑ Join WhatsApp Group:

https://chat.whatsapp.com/JezGFEebk2G3TsZPzTsbZP

๐Ÿ“ฅ Register Now:

https://forms.gle/6cRFoVHJBE6TubZJ7

๐Ÿ“บ WhatsApp Channel:

https://www.whatsapp.com/channel/0029Vb60rGU8V0thkpbFFW2n

Cheers.
Team PVR Cloud Tech :)
+91-9346060794
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ChatGPT Prompt to learn any skill
๐Ÿ‘‡๐Ÿ‘‡
I am seeking to become an expert professional in [Making ChatGPT prompts perfectly]. I would like ChatGPT to provide me with a complete course on this subject, following the principles of Pareto principle and simulating the complexity, structure, duration, and quality of the information found in a college degree program at a prestigious university. The course should cover the following aspects: Course Duration: The course should be structured as a comprehensive program, spanning a duration equivalent to a full-time college degree program, typically four years. Curriculum Structure: The curriculum should be well-organized and divided into semesters or modules, progressing from beginner to advanced levels of proficiency. Each semester/module should have a logical flow and build upon the previous knowledge. Relevant and Accurate Information: The course should provide all the necessary and up-to-date information required to master the skill or knowledge area. It should cover both theoretical concepts and practical applications. Projects and Assignments: The course should include a series of hands-on projects and assignments that allow me to apply the knowledge gained. These projects should range in complexity, starting from basic exercises and gradually advancing to more challenging real-world applications. Learning Resources: ChatGPT should share a variety of learning resources, including textbooks, research papers, online tutorials, video lectures, practice exams, and any other relevant materials that can enhance the learning experience. Expert Guidance: ChatGPT should provide expert guidance throughout the course, answering questions, providing clarifications, and offering additional insights to deepen understanding. I understand that ChatGPT's responses will be generated based on the information it has been trained on and the knowledge it has up until September 2021. However, I expect the course to be as complete and accurate as possible within these limitations. Please provide the course syllabus, including a breakdown of topics to be covered in each semester/module, recommended learning resources, and any other relevant information

(Tap on above text to copy)
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๐Ÿš€ PyTorch vs TensorFlow โ€“ Which Should YOU Choose?

If youโ€™re starting in AI or planning to build real-world apps, this is the big question.

๐Ÿ‘‰ PyTorch โ€“ simple, feels like Python, runs instantly. Perfect for learning, experiments, and research.
๐Ÿ‘‰ TensorFlow โ€“ built by Google, comes with a full production toolkit (mobile, web, cloud). Perfect for apps at scale.

โœจ Developer Experience: PyTorch is beginner-friendly. TensorFlow has improved with Keras but still leans towards production use.
๐Ÿ“Š Research vs Production: 75% of research papers use PyTorch, but TensorFlow powers large-scale deployments.

๐Ÿ’ก Think of it like this:
PyTorch = Notebook for experiments โœ๏ธ
TensorFlow = Office suite for real apps ๐Ÿข

So the choice is simple:

Learning & Research โ†’ PyTorch

Scaling & Deployment โ†’ TensorFlow
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