Abhishek (@data_guy16) profile picture

Husting founder | Here to Dominate | Unrealistically obsessed with winning

Joined January 2025
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Day 1 of Posting on X consistently until I become eligible for payout
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Stop wasting time pasting rows manually. Try using VSTACK instead to combine your tables instantly! #ExcelTips #SpreadsheetHacks #OfficeProductivity
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Filter out department name in seconds in Excel #excel #exceltips #excelformulas #exceltricks
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Top 15 Excel functions XLOOKUP - looks any direction, no column counting, optional fallback for missing values VLOOKUP - old, still everywhere. Forgetting the FALSE argument returns a wrong value silently INDEX-MATCH - more flexible than VLOOKUP, doesn't need the return column to be on the right IF - the backbone every other advanced formula is built on SUMIFS - add up numbers across multiple conditions at once COUNTIFS - same structure as SUMIFS, counts instead of sums IFERROR - turns a raw error into something that looks finished TRIM - strips invisible spaces that silently break lookups TEXTJOIN - combines cells with a separator, skips blanks automatically ROUND - changes the actual stored value, not just how it displays DATEDIF - years, months, or days between two dates. Hidden from autocomplete, still works RANK - ranks a value against a full list SUMPRODUCT - multiplies and sums in one shot, no helper column UNIQUE - pulls distinct values instantly, updates live CONCATENATE or & - stitches text and numbers together for a couple of cells
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Lookup family in Excel
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Flashfill in Excel
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If i had to prepare for interview for data analyst in 7 days this is what I will do
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Q: Table orders(order_id, customer_id, order_date, amount). Find customers who ordered in every month of 2024. A) GROUP BY customer_id HAVING COUNT(*)=12 B) GROUP BY customer_id HAVING COUNT(DISTINCT MONTH(order_date))=12 C) GROUP BY customer_id, MONTH(order_date) HAVING COUNT(*)=12 D) SELECT DISTINCT customer_id WHERE YEAR(order_date)=2024 Answer: B - counts distinct months per customer; A/C/D don't enforce all 12 months. #sql #sqlbasics #sqlinterview #sqldatatypes
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Top 15 Excel Formulas
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STOP. 90% of beginners quit right around Day 2. Here's why you won't. Scratch to Data Scientist, Day 2 of 100.
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Variables = labeled boxes that hold values: name = "Aria" age = 25 age = age + 1 # reassigning One label, one value, reusable anywhere below it.
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Naming rules: letters/underscores only, no numbers first, no hyphens, no reserved words like "class". Break these and Python won't even run.
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Starting a 100 day thing. Scratch to Data Scientist. No fluff, just the actual path from zero to job ready, one skill at a time. Day 1 below.
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Where this goes: python basics, then real messy data, then stats, then ML, then you build an actual portfolio, then you're job ready.
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Day 1 done. 99 to go. Following along costs nothing, quitting on yourself does.
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