Excel, Power BI, SQL, Python - Where Most People Go Wrong (And How to Think Like a Real Analyst)
Data Meets AI ~ Priyanka SG

Excel, Power BI, SQL, Python - Where Most People Go Wrong (And How to Think Like a Real Analyst)

Let’s talk about something real today:

You're learning Excel. Power BI. SQL. Python.

But you still feel stuck.

You’re not alone - I see this every day.

Because most people don’t fail because they’re slow learners.

They fail because they’re learning with the wrong mindset.

Here’s the mindset you actually need - tool by tool 👇

 

🟩 1. Excel - Think Like a Detective, Not a Data Entry Clerk

Wrong mindset:

🧍 “Excel is just rows and columns and formulas.”

Right mindset:

🕵️ “Excel is my first lab. Can I spot patterns? Clean chaos? Ask better questions from numbers?”

💡 Start here not to 'learn Excel' - but to build curiosity.

Pivot tables, filters, conditional formatting - these aren’t just features. They’re your training wheels for pattern recognition.

 

🟨 2. Power BI - Think Like a Storyteller, Not a Designer

Wrong mindset:

🎨 “I’ll make pretty charts with cool colors and animations.”

Right mindset:

📈 “What’s the one insight my business user cares about? Can this dashboard drive a decision today?”

💡 Power BI is not Canva. It’s not about charts - it’s about clarity.

Great dashboards remove noise and zoom in on action.

 

🟦 3. SQL - Think Like an Analyst, Not a Coder

Wrong mindset:

💻 “Let me memorize all the JOIN types and subqueries.”

Right mindset:

🔍 “Can I ask the right question to get the right slice of data that drives a real decision?”

💡 SQL is how you ask questions from a database.

It’s less about syntax and more about thinking clearly in logic.

 

🐍 4. Python - Think Like a Problem Solver, Not a Programmer

Wrong mindset:

👨‍💻 “I need to master loops, functions, and object-oriented concepts.”

Right mindset:

🧠 “How can I clean this messy CSV 10x faster? Can I automate this Excel report?”

💡 Python isn’t about coding.

It’s about removing bottlenecks and making data work for you - fast, repeatable, smart.

 

❤️ Final Thoughts

You don’t need to be a tech genius to become a data analyst.

But you do need to shift your mindset from:

  • “What should I learn?” to

  • “How does this help me solve a problem, tell a story, or guide a decision?”

That’s the difference between a learner and a true analyst.

The tools are the same.

The mindset makes you undeniable.

 

~Priyanka SG

Forever learning. Forever curious.

Data Analyst Mentorship Click Here to know more:

 

Rohan Gupta

Aspiring Data Analyst | Currently at Mosh |Skilled in Excel, SQL, Power BI, Python | Graduate from Ramniranjan College | Data Analytics at SITH Computer Institute

3w

Thanks for sharing, Priyanka

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Hari Haran S

MBA | Business Analytics | Finance

4w

Definitely worth reading

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Tharshini isha

Data Analyst (BCom) | Power BI • Python • SQL • Excel | Accenture & Tata Virtual Internships | Transforming Data into Business Insights | Seeking Analytics Opportunities

1mo

Very informative❤️🔥

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Tejas vishwakarma

Student at Mumbai University

1mo

Definitely worth reading

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NARASIMHA PRASAD KAMATHAM

Data Scientist, Python, SQL, Excel, Data libraries of Python, Machine Learning, Generative AI.

1mo

Thanks for sharing, Priyanka

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