AppsLevel @AppsLevel

Things you should include in your data analytics portfolio: - Show the thinking behind the problems you solved. - Show what you discovered and what action you recommended - Explain your projects simply and clearly That's how you build a portfolio that gets you hired.

Mistakes most people make when building their analytics portfolio: - Including projects that don't tell a story. - Focusing only tools, not outcomes - Not explaining projects clearly.

The ability to ask "what should we do with this data?" instead of just "what happened?" That skill changes everything.

Microsoft Learn @MicrosoftLearn

8 months ago

Skills can be surprising. What’s one skill you've learned that ended up being more useful than you expected?

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@saen_dev Exactly. As AI handles more execution, the gap widens between people who can produce and people who know what to produce. The second group is who companies actually need.

AI can write code. It can generate SQL, and it can summarize reports. But it cannot decide what matters. As automation increases, execution gets faster. Judgment does not. The question is: Are you investing in tool mastery or decision clarity?

We believe decision-making with data should be accessible. Not gated behind cost. That's why we're offering Sponsored Access: ✓ Structured learning ✓ Real-world scenarios ✓ Interview-ready skills Student? Apply now: appslevel.com/learning/stude… Not a student? Please share this

This is what students practice in our Decision-Making With Data class. Get this at no cost when you apply for sponsored access: appslevel.com/learning/stude…

Cost shouldn't determine your future. Apply for Sponsored Access and learn data analytics at no cost: appslevel.com/learning/stude… Know someone that needs this? Share this post with them.

Most analytics classes teach you formulas. The ones that matter teach you this: How to break real business questions. How data connects to behavior. How to explain insights so people act. How real teams actually think. Ready to learn this way? appslevel.com/learning/stude…

This is what learning analytics should look like. Not just technical skills. Real thinking. Ready to learn this way? Apply for Decision-Making With Data: appslevel.com/learning/stude… Know someone that could find this helpful? Share this post with them.

It teaches you how to: → Understand business problems → Map user journeys → Identify right metrics → Turn analysis into decisions

The problem with learning analytics nobody talks about. You learn the tools. SQL. Excel. Python. You get really good at them. But you're not learning to think like an analyst. ⬇️🧵

@techiehub_28 It is so important. You're welcome!

3 misconceptions about being a data analyst: ❌ It's all technical skills ✅ It's about thinking clearly ❌ You work alone ✅ You work with people making decisions ❌ Numbers tell the whole story ✅ Context is everything Learn these first, and everything changes

Your first 90 days as a data analyst: Month 1: Listen, learn, understand context Month 2: Deliver, build confidence, add value Month 3: Own it, move decisions, make impact That's the journey from learning to owning. Ready to start this way? appslevel.com/learning/stude…

@techiehub_28 @TDataImmersed Well done

The most crucial thing to know is that the best analysts don't start with tools. They start with questions. Tools are just the vehicle and questions are the direction.

Ezekiel @ezekiel_aleke

8 months ago

Dear Data Analyst!! What’s one crucial thing you’ve learned in Data Analysis this year? Let’s hear it

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