Day 18 – Common Data Analyst Mistakes & How to Avoid Them
Introduction (Error-Analysis & Best Practices Style) Even experienced analysts make mistakes—but understanding common pitfalls is essential to improve accuracy and credibility. Imagine a Nagpur-based retail company analyzing sales data. A small mistake in Excel formulas, SQL queries, or Python scripts could mislead management, affect inventory decisions, or misrepresent performance. Identifying and avoiding these mistakes ensures […]
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