DeepWithData's profile picture. Sharing insights on Data Science, Data Analytics, Python, SQL & real-world business intelligence. Helping beginners break into tech with data skills.

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.

고정된 트윗

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Your Excel skills don't matter if you can't explain what the data actually means.


You don’t get hired for knowing tool tricks. You get hired for turning raw tables into stories that matter. SQL + Power BI + sense for business = your ticket into any data-role.


Half of LinkedIn "analysts" can't write a WHERE clause without Googling it.


If your Power BI course doesn't teach M language, you wasted your money.


Watched 6 YouTube tutorials on SQL JOINs. Still confused. Cried in the shower. Watched a 7th.


Learning Power BI, SQL & Excel won’t fix your career. I know. I wasted 2 YEARS doing exactly that. No job. No growth. No direction. Here’s what I learned the hard way: 👉 lnkd.in/g4mjtXDQ If you’re done being stuck, join my free newsletter: 👉 lnkd.in/ggHUu6NZ


Fixed a bug at 11 PM. Felt like a genius. Created two new bugs. Back to feeling dumb.


Got my first paycheck as an analyst. ₹22k. Cried. Not sure if happy tears or sad tears.


Data visualization is useless if you're just making charts that look pretty but say nothing.


Use COALESCE in SQL to handle NULL values. Stop writing messy CASE WHEN statements for simple stuff.


Excel tip: Ctrl + Shift + L is your friend. Filters save lives and hours of scrolling.


My code finally worked. I don't know why. I'm not touching it again.


Applied to 47 jobs. Got rejected by 46. The one that replied asked for 3 years experience for an intern role.


First salary: ₹15k Told myself I'd learn Power BI. Now I make dashboards for people who don't open them.


Spent 4 hours fixing a DAX error. The column name had a typo. I need a break from this life.


Learning Power BI alone at midnight hits different when you're broke.


Everyone's a senior analyst on LinkedIn. Everyone's lost on Stack Overflow.


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