
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.
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Want to look like a pro in any data role? Learn: 4. SQL Window Functions 5. Git basics 6. How to say 'no' politely 7. How to explain p-values without math
The difference between a junior and senior analyst: Junior: ‘What does the data say?’ Senior: ‘What problem are we solving?’
Data analyst starter pack: 📊 Excel 📝 Jira tickets ☕ Cold coffee 😢 Last-minute requests at 4:59 pm
Want to become a senior analyst? Learn these skills fast: Speak business, not just numbers Build reports people actually read Automate boring tasks Say “no” to useless requests
Most 'data science' problems are solved with: 1. Group By 2. Join 3. A simple chart Stop overcomplicating it.
5 SQL commands that make you look like a wizard in front of your boss: CASE WHEN ROW_NUMBER() WINDOW FUNCTIONS CTEs EXPLAIN PLAN (save + share this for later)
You have to see this! @PowerBIPark shows how to turn 38 lines of DAX into just one with user-defined functions. 🤯 #dax #powerbi #dataanalytics

Myth: Senior analysts know more tools. Truth: Seniors know fewer tools, but they use them deeper.
Stakeholder: “The data says what I thought.” Analyst: “Then why did you ask me to pull it?”
5 habits that separate senior Data analysts from the rest: 1. Ask “why” five times 2. Push back with data 3. Build trust, not just charts 4. Simplify over complicate 5. Teach, don’t gatekeep #5 makes you unforgettable.
If you don’t know the business, your technical skills won’t matter. Context > code.
How seniors turn chaos into clarity: 1. Translate the messy ask 2. Reframe into a business goal 3. Pick 1–2 key metrics 4. Deliver the answer, not the dataset
“What makes a great dashboard?” Answer: One that makes someone act without asking you to explain it.
My first year: I spent hours making reports perfect. Senior year: I learned that speed beats perfection, because business changes by the time “perfect” arrives.
Mistake: Reporting every metric. Good analysts report what happened. Great analysts report what to do next.
Myth: More data = better answers. Truth: More data = more noise. Seniors know what to ignore.
When stuck: write the executive summary first. If you can’t explain the insight in plain English, the analysis isn’t done.
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