𝟰 𝗙𝗿𝗲𝗲 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗠𝗼𝗱𝘂𝗹𝗲𝘀 𝘁𝗼 𝗕𝗼𝗼𝘀𝘁 𝗬𝗼𝘂𝗿 𝗦𝗸𝗶𝗹𝗹𝘀😍

Generative AI is no longer just a buzzword—it’s a career-maker🧑‍💻📌

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.🖥

𝐋𝐢𝐧𝐤👇:-

http://pdlink.in/4fKT5pL

If you’re looking to stand out in interviews, land AI-powered roles, or future-proof your career, this is your chance

📌 🚀 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:

✅ 1. Share Your Work Publicly – Post SQL/Python projects on LinkedIn, Medium, or GitHub.

✅ 2. Engage with Data Communities – Follow & contribute to Kaggle, DataCamp, or Analytics Vidhya.

✅ 3. Write About Data – Share blog posts on real-world data insights & case studies.

✅ 4. Present at Meetups/Webinars – Gain visibility & network with industry experts.

✅ 5. Optimize LinkedIn & GitHub – Highlight your skills, certifications, and projects.


💡 Start with one personal branding activity this week.

Q: How do you import data from various sources (Excel, SQL Server, CSV) into Power BI?

A: Here’s how to handle multi-source imports in Power BI Desktop:

1. Excel:

° Go to Home > Get Data > Excel

° Select your file & sheets or tables



2. CSV:

° Choose Get Data > Text/CSV

° Browse and load the file



3. SQL Server:

° Select Get Data > SQL Server

° Enter server/database name

° Use a query or select tables directly



4. Combine Sources:

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

° Create relationships in the Model view


Pro Tip:
Use consistent data types and naming to make transformations smoother across sources!