Deep | Data Science & Data Analyst @DeepWithData

Sharing insights on Data Science, Data Analytics, Python, SQL & real-world business intelligence. Helping beginners break into tech with data skills. data-comeback.beehiiv.com India Joined March 2020

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Deep | Data Science & Data Analyst @DeepWithData

3 days ago

If you don’t understand the business, your analysis is useless - no matter how pretty the chart looks.

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Deep | Data Science & Data Analyst @DeepWithData

3 days ago

How to clean a messy Excel file: 1. Remove duplicates 2. Fix data types 3. Trim spaces 4. Rename columns 5. Validate with a pivot table

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Deep | Data Science & Data Analyst @DeepWithData

3 days ago

“Is Excel still useful for analysts?” Yes. It’s where most companies start before scaling up.

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Deep | Data Science & Data Analyst @DeepWithData

3 days ago

I once spent 3 days perfecting a dashboard. My boss only cared about one number in the corner. That’s when I realized: simple wins.

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Deep | Data Science & Data Analyst @DeepWithData

3 days ago

Biggest mistake: Making dashboards for yourself, not for the user. Always ask: Who is reading this? What do they need?

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Deep | Data Science & Data Analyst @DeepWithData

3 days ago

Myth: The more data you have, the smarter your company is. Truth: Without the right analyst, data is just noise.

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Deep | Data Science & Data Analyst @DeepWithData

3 days ago

Learn how to use JOINs properly. It’ll save you hours of pain and wrong results.

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Deep | Data Science & Data Analyst @DeepWithData

3 days ago

Stop scrolling. This is the 3-step way I explain data to anyone: ● What happened ● Why it happened ● What to do next That’s all most execs care about.

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Deep | Data Science & Data Analyst @DeepWithData

3 days ago

Me: “This dataset looks fine.” Dataset: surprise nulls, weird outliers, and columns named “final_v3_copy.”

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Deep | Data Science & Data Analyst @DeepWithData

3 days ago

Would you trust a doctor who never cleaned their tools? Then why trust an analyst who never cleans their data?

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Deep | Data Science & Data Analyst @DeepWithData

3 days ago

A data analyst isn’t about charts. Here are 3 underrated skills they need: 1. Curiosity 2. Clear writing 3. Business sense These matter more than fancy models.

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Deep | Data Science & Data Analyst @DeepWithData

4 days ago

Stop chasing 100 tools. Master one and show results. Nobody hires you for knowing “everything.”

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Deep | Data Science & Data Analyst @DeepWithData

4 days ago

Want to stand out as a junior analyst? 1. Learn SQL 2. Build 3 dashboards 3. Post your work online 4. Write what you learned 5. Repeat every month Do this for 6 months. Watch what happens.

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Deep | Data Science & Data Analyst @DeepWithData

4 days ago

“What’s the difference between a data analyst and data scientist?” Analyst: Answers business questions. Scientist: Builds models to predict new ones.

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Deep | Data Science & Data Analyst @DeepWithData

4 days ago

The first time I presented my dashboard, the CEO didn’t care about charts. He only asked: “What do I need to do now?” That day I learned—insights > visuals.

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Deep | Data Science & Data Analyst @DeepWithData

4 days ago

Most beginners waste weeks learning advanced stats. Meanwhile, the real job is cleaning 80% of messy Excel files.

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Deep | Data Science & Data Analyst @DeepWithData

4 days ago

Myth: Analysts only report the past. Reality: A sharp analyst can predict the future better than most “forecasters.”

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Deep | Data Science & Data Analyst @DeepWithData

4 days ago

Don’t start with machine learning. Start with business questions. You’ll look smarter when you solve real problems.

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Deep | Data Science & Data Analyst @DeepWithData

4 days ago

Here’s the fastest way to learn data analysis in 30 days: ● Week 1: Excel basics ● Week 2: SQL queries ● Week 3: BI dashboards ● Week 4: Case studies Skip theory. Build projects. That’s it.