Author: K. Sivalakshmi , Arjun Reddy
Abstract: As the era of big data continues to unfold, the field of statistics faces unprecedented challenges and opportunities in extracting meaningful insights from large and complex datasets. This paper explores the key challenges associated with big data analytics in the context of modern statistical inference, highlighting the opportunities for advancements and the implications for decision-making. Various statistical methods and techniques are discussed, and practical examples are presented to illustrate the application of these methods.
Keywords: Big Data Analytics, Statistical Inference, Scalability, Computational Efficiency, Data Quality, Privacy, Ethical Concerns, Machine Learning, Real-time Analytics, Predictive Modeling.
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