A review on statistical analysis for data science

Author:

Perumalla Venkat Kumar,Gupta Himanshu

Publisher

AIP Publishing

Reference14 articles.

1. KDnuggets, “The 10 statistical techniques Data Scientists need to Master”, 2017, available at https://www.kdnuggets.com/2017/11/10-statistical-techniques-data-scientists-need-master.html.

2. EXCELR, “The Ultimate guide to Statistical Analysis of Data Science (6 step framework)”, 2021, available at https://www.excelr.com/blog/data-science/statistical-analysis/the-ultimate-guide-to-statistical-analysis-for-data-science-6-step-framework.

3. V. Ribeiro, A. Rocha, R. Peixoto, F. Portela, and M. F. Santos, "Importance of Statistics for Data Mining and Data Science" in Proceedings of 5th International Conference on Future Internet of Things and Cloud Workshops (2017) pp. 156–163.

4. S. Shreshtha, A. Singh, S. Sahdev, M. Singha, and S. Rajput, "A Deep Dissertion of Data Science: Related Issues and its Applications" in Proceedings of Amity International Conference on Artificial Intelligence (2019) pp. 939–942.

5. H. Xu, G. Fan, and K. Li, "Improved Statistical Analysis Method Based on Big Data Technology" in Proceedings of International Conference on Computer Network, Electronic and Automation (2017) pp. 175–179.

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