You've faced data discrepancies in your analysis. How can you ensure they don't happen again?
Data discrepancies in analysis can be frustrating, but they are not insurmountable. When you encounter inconsistencies in your data, it's a sign that something in your data analytics process may need a closer look. It could stem from various issues such as human error in data entry, problems with data collection methods, or even software glitches. To prevent such discrepancies from recurring, you must identify the root cause and implement corrective measures.
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Tejoyashank ChilvantSIBM Pune (2023-2025) | Summer Intern at RIL (Tira Beauty) | National Semi-Finalist Castrol POWER UP, Campus Winner…
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Rahul YadavMicrosoft Certified : Power Bi Data Analyst | Power Bi, Tableau, Python, MySQL, Scala | Unleashing Insights from Chaos…
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Nityanand MadpathiSoftware Engineer | Actively Seeking Full-Time Opportunities | Data Analytics, Data Engineering, AI, ML, Cloud