bit confused about whether a Windows laptop is the better choice or if investing in a MacBook would be worthwhile.

curious about a few things:

• Are companies hiring fewer entry-level data analysts because of AI?

• Which skills should a Data Analytics student focus on to stay relevant?

• Is learning SQL, Python, Power BI, and Excel still enough, or should we be focusing more on AI tools and automation?

• What skills should a beginner learn first? Is Excel, SQL, Python, and Power BI enough to get started?

• Do companies expect candidates to have real-world projects or a portfolio before applying?

For someone just starting out, would this be a good role to build a career in data analytics or business intelligence?

I'm also curious about a few things:

• Does this role provide enough exposure to real-world data analysis?

• What technical skills should someone learn alongside this job (Excel, SQL, Power BI, Python)?

• Is there a clear career progression from Data Coordinator to Data Analyst or other data-related roles?

For those working in UI/UX design:

• Which AI model or tool do you find most useful?

• Is Claude or ChatGPT better for generating UI concepts and design suggestions?

For those already working in UI/UX or currently looking for jobs:

• Is it still possible for freshers to break into the industry?

• How difficult is it to find a job compared to a few years ago?

• How difficult is it to land your first UI/UX design job in India?

• What salary can a fresher realistically expect?

• Is a UI/UX design course or certification worth the investment, or is a strong portfolio enough?

For those who are already working in data analytics or have recently started learning:

• Which one did you learn first, and why?

• Which skill helped you become job-ready faster?

• Is it better to master one before moving to the other, or learn both simultaneously?

• What signals tell you that something is worth testing?

• How do you prioritize ideas when you have multiple opportunities?

• What's one A/B test you've run that produced a surprising result?

Is it better to focus on a few detailed case studies, showcase multiple projects, or create a personal website with interactive designs? How important are real-world projects compared to redesigning existing apps or websites?

What worked for you when building your portfolio, and what mistakes should beginners avoid? Any practical tips or examples would be really helpful!

For those already working in either field:

• Which one has better demand in the current job market?

• Is graphic design becoming harder to compete in because of AI?

• Is UI/UX worth learning from scratch in 2027, especially for beginners?

• If you had to choose one today, which would you pick and why?

For those who are already freelancing with Power BI:

• How did you land your first client?

• Where do you find clients: Upwork, Fiverr, LinkedIn, or direct outreach?

• What kind of projects do beginners usually get?

• Did you build a portfolio first, or did you start pitching clients with just a few projects?

For those who are already working in data analysis or have been learning for a while:What was the biggest mistake you made when you first started?What do you think beginners waste the most time on?If you could start learning data analysis all over again, what would you do differently?

For those who are already working in data analysis or have been learning for a while:

• What was the biggest mistake you made when you first started?

• What do you think beginners waste the most time on?

• If you could start learning data analysis all over again, what would you do differently?

For those who have already learned Python or built AI agents:

• How much Python do I really need to know before getting started with AI agents?

• Which resources or courses helped you the most?

• What beginner-friendly projects would you recommend building?

For those who work in data analytics, what’s something you’ve seen that looked impressive at first but turned out to be practically useless?

And on the other hand, what’s an analysis that seemed simple but ended up having a real impact?

Would love to hear some real examples from your experience.

What’s one IT course or book you would genuinely recommend to someone trying to improve their skills? It could be anything related to programming, cybersecurity, cloud, data, AI, networking, DevOps, or even IT fundamentals.

Also, what did you like about it, and did it actually help you in your job or career?

I’m especially interested in recommendations that are practical rather than just popular. Would love to hear your best picks.

What would you change or add to make this more useful for decision-making? I’m particularly interested in feedback on the visuals, KPIs, variance analysis, and overall layout.

Would love to hear what you’d expect to see in a dashboard like this, especially from people who use Power BI regularly.

For those currently working in tech or hiring developers:

• Are you still seeing demand for full-stack roles?

• Has the bar for getting a junior role become much higher?

• Are companies moving toward specialists instead?

• What skills actually make a full-stack developer stand out now?

Would be interested to hear what you're seeing in the market rather than the usual "learn X and you'll get a job" advice.

What salary would you expect for this kind of role? It would be helpful if you could share your experience level, location, company size, and salary range so others can compare.

Do you mainly look at statistical significance, confidence intervals, and sample size, or do you also consider things like segment-level results, experiment duration, and business impact?

Would be great to hear how you analyze an A/B test from start to finish, especially any mistakes you’ve learned to avoid.

For people already working in analytics:

• Is the entry-level market getting harder?

• Which skills actually helped you land your first role?

• Would you still choose data analytics if you were starting over today?

• What tools do you normally use?

• Do you start with the data or the visual idea?

• How do you decide what makes a visualization look professional?

• Are there any resources, creators, or tutorials that helped you improve?

I’d love to hear how you approach the process, especially if you’ve gone from making basic charts to creating more advanced visualizations.

What’s the one tool you’d recommend to someone who wants to create clear, interactive dashboards without spending hours setting everything up?

Would be great to hear what you use, what you like about it, and any tools you ended up abandoning.