You're working on a data analytics project. How can you ensure your results are accurate?
Data analytics is the process of collecting, transforming, analyzing, and communicating data to gain insights, solve problems, and support decision-making. However, data analytics is not a magic bullet that can guarantee accurate results. You need to follow some best practices and avoid common pitfalls to ensure your data analytics project is reliable, valid, and relevant. Here are some tips to help you achieve that.
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Arka Kanungo, LSSGB™, MCIHT, AITP, MCoAConsultant - Transport & Trade Facilitation, ADB | International Cooperation Division, Ministry of Road Transport &…
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Sahil ChipkarData Analyst | Generative AI, Python, Power BI, SQL, Excel | Present insights from Big data.
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Anuj Pratap Singh RaiBusiness Intelligence Developer @CapItAll.io | PBI, SQL, MSBI, Python | Data Analytics