10th International
Conference on
Teaching Statistics
8 – 13 July 2018
Kyoto, Japan
Contributed paper list

Contributed Paper C186

In session C8A  (Wednesday 11th, 11:00-12:30,   Level 3 - Conference Room B)

The Engagement with Big Data Analytics in Business: A Preparation


Nelia Ereno (Philippines)


This study presented the different challenges a business school or higher education institution are facing due to the emergence of big data in business companies. Students should be trained in college to the multidisciplinary facet of data analytics in business. Their curriculum should include among others predictive modeling, multivariate methods, business analytics, quantitative methods and computer programming language. They should be taught on how to use R or Python to process big data. As revealed by the survey done, students had a positive attitude towards their Statistics subject and the percentage of students who passed it was so high. Faculty's preparations and the support of the university’s administration based on the assessment concluded a promise that big data analytics in business will prosper in the university.

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