• Jemima Hossain

Data Science is a combination of interdisciplinary field that combines, programming, artificial intelligence, mathematics, scientific methods, statistical techniques, and data analysis to extract meaningful information from data and actionable knowledge from structured and also from unstructured data. It requires the depth knowledge and core concepts of the components and skills such as mathematics and statistics, programming and computing, machine learning and artificial intelligence, data visualization, domain knowledge in finance, healthcare, and e-commerce. The concept of ingestion, storage and processing, analysis and modelling, visualizing results and delivering actionable reports to the interested people and stakeholders are essential including the knowledge of python, R etc for the data science, data analytics, Machine Learning, Pandas, NumPy, and data engineering.

Data Science, interdisciplinary, programming, ingestion, e-commerce, visualizing, python, ML, NumPy

"EMPIRICAL STUDY ON THE IMPORTANCE OF PYTHON LANGUAGE IN DATA SCIENCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 10, page no.c584-c587, October-2026, Available :http://www.jetir.org/papers/JETIR2610263.pdf

"EMPIRICAL STUDY ON THE IMPORTANCE OF PYTHON LANGUAGE IN DATA SCIENCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 10, page no. ppc584-c587, October-2026, Available at : http://www.jetir.org/papers/JETIR2610263.pdf