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.
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?
π topmate.io/abhishek_kumar108β¦
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. π§΅
β’INDIRECT β dynamic cross-sheet references, no VBA needed
β’ LARGE/SMALL β top N and bottom N values in seconds
β’ TEXT β format numbers and dates as readable labels
β’ GETPIVOTDATA β pull Pivot values into fixed reports that never break
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?
π topmate.io/abhishek_kumar108β¦
What NOT to learn until you have a job:
β’ Deep learning β you're an analyst, not a data scientist
β’ Spark/Hadoop β only at massive scale
β’ R β Python covers everything, bigger job market
β’ Certifications β projects beat every certificate
What actually gets you hired:
β 1β2 real portfolio projects
β GitHub with clean README
β SQL you can write from scratch
β A dashboard hiring managers can open
β Ability to explain your analysis in plain English
Full 90-day system to get there π
topmate.io/abhishek_kumar108β¦