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Nayagam P P |10925 Answers |Ask -Follow

Career Counsellor - Answered on Aug 13, 2025

Nayagam is a certified career counsellor and the founder of EduJob360.
He started his career as an HR professional and has over 10 years of experience in tutoring and mentoring students from Classes 8 to 12, helping them choose the right stream, course and college/university.
He also counsels students on how to prepare for entrance exams for getting admission into reputed universities /colleges for their graduate/postgraduate courses.
He has guided both fresh graduates and experienced professionals on how to write a resume, how to prepare for job interviews and how to negotiate their salary when joining a new job.
Nayagam has published an eBook, Professional Resume Writing Without Googling.
He has a postgraduate degree in human resources from Bhartiya Vidya Bhavan, Delhi, a postgraduate diploma in labour law from Madras University, a postgraduate diploma in school counselling from Symbiosis, Pune, and a certification in child psychology from Counsel India.
He has also completed his master’s degree in career counselling from ICCC-Mindler and Counsel, India.
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Question by Viktor on Aug 13, 2025Hindi

Is Statistics still a good course to study in this era of AI?

Ans: You have raised a truly unique and excellent question. Statistics remains a relevant and valuable field in the era of Artificial Intelligence (AI), functioning as a critical foundation for trustworthy and impactful AI applications. AI technologies rely heavily on statistical principles to ensure models are understandable, reliable, and grounded in robust evidence. Core statistical methods such as hypothesis testing, uncertainty quantification, and model validation are vital for understanding complex AI algorithms, ensuring accuracy, and avoiding over-reliance on "black box" predictions. Statistics enhances AI by optimizing data collection, improving data quality assessment, and enabling rigorous evaluation of AI systems. While AI automates and accelerates data analysis, statistics provides the methodological rigor necessary to interpret results and guide decision-making effectively.

The relationship between statistics and AI is symbiotic: AI tools support automated, efficient statistical analysis, whereas statistical theory underpins AI’s validity and interpretability. Although AI may automate certain routine aspects of statistics, statisticians' expertise remains essential to navigate nuances in data, design experiments, and apply domain knowledge. Emerging AI-assisted statistical tools are expanding research possibilities but require human oversight for accuracy and context.

Comparatively, statistics is more theory-driven and concerned with inference and small to moderate datasets, while AI focuses on algorithmic, large-scale data processing and automation. The demand for statisticians in AI-related fields, including data science, bioinformatics, and risk analysis, continues to grow, with institutions emphasizing interdisciplinary curricula, research integration, modern computing infrastructure, experienced faculty with AI-statistics expertise, strong industry collaborations, and comprehensive career and research support. Statistics programs that integrate AI tools and concepts prepare graduates for dynamic roles in data analysis, AI model validation, and ethical AI deployment. Pursuing statistics remains a strategic choice in this AI-driven era, offering enduring scope and opportunities. Select programs that combine solid statistical theory with AI applications, robust faculty expertise, advanced computational resources, industry partnerships, and holistic career support to stay at the forefront of this evolving field. All the BEST for a Prosperous Future!

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