Abhishek

Husting founder | Here to Dominate | Unrealistically obsessed with winning

[Abhishek @data_guy16]

@Dwriteway Won't leave this until I make my fortune here. Doesn't matter what comes in way.

[Abhishek @data_guy16]

After every merge run df.shape
One-to-many joins silently multiply rows.
Most bugs in data work come from joins nobody checked.
Want the full system to go from zero to hired as a data analyst in 90 days?
👉 https://t.co/y5Zf6tTTSP

[Abhishek @data_guy16]

Every Python function I use daily in a real data job.
Not a tutorial. Not a course.
Just what actually shows up when you're working with data professionally.

[Abhishek @data_guy16]

7 → histplot, boxplot, lineplot, heatmap
First chart is always sns.heatmap(df.corr())

[Abhishek @data_guy16]

Spent the first 3 years learning formulas I never used.
The next 11 I used these 15 on repeat.
Learn them deeply. Use them on real data. Everything else is a bonus.
Want Excel, SQL, Power BI, and Python in one structured 90-day system?
👉 https://t.co/y5Zf6tTTSP

[Abhishek @data_guy16]

Used Excel for 14 years across finance, ops, consulting, and data analytics.
Most formulas are a waste of time.
These 15 solved 90% of every real problem I faced. 🧵

[Abhishek @data_guy16]

•INDIRECT → dynamic cross-sheet references, no VBA needed
• LARGE/SMALL → top N and bottom N values in seconds
• TEXT → format numbers and dates as readable labels
• GETPIVOTDATA → pull Pivot values into fixed reports that never break

[Abhishek @data_guy16]

What actually gets you hired:
✅ 1–2 real portfolio projects
✅ GitHub with clean README
✅ SQL you can write from scratch
✅ A dashboard hiring managers can open
✅ Ability to explain your analysis in plain English
Full 90-day system to get there 👇
https://t.co/y5Zf6tTTSP

[Abhishek @data_guy16]

Stop overthinking becoming a data analyst.
Learn only these 10 topics. In this order.
Nothing else matters until you finish this list. 🧵

[Abhishek @data_guy16]

What NOT to learn until you have a job:
• Deep learning — you're an analyst, not a data scientist
• Spark/Hadoop — only at massive scale
• R — Python covers everything, bigger job market
• Certifications — projects beat every certificate