About Us

Data Science

We adopt a broad and inclusive definition of Data science, (or data-driven science or datalogy), as an interdisciplinary field about scientific methods, processes and systems that are applied to extract knowledge or insights from data in various forms, either structured or unstructured and covers areas such as machine learning, computational statistics, Data Mining, Predictive Analytics, and other emerging related fields of study.

Data Science Association

The Persatuan Sains Data (Data Science Association) is the initiative of a group of senior academics and professionals from Malaysia and overseas. They share a common belief that data skills -the ability to extract data, to understand it, to process it, to extract value from it, to visualize it and to communicate it—are essential skills in decision making processes in every area of human endeavour. The Association is registered as a society under the Societies Act 1966, Malaysia. The Association aspires to create a community of professionals who are interested in the application, study and development of data science in Malaysia and the region. Membership is directed at professionals, students, researchers, academics and others who have a deep interest in data science and related technologies and practices. The Registrar of Societies, Malaysia approved the registration of the association on 20 December 2017.

Our Objectives

Classification and certification of data science professionals. Establish procedures, qualifications and criteria for professional certification of data science practitioners and award such certification to qualified individuals.

Hold conferences meetings, seminars, roundtables, colloquiums, forums etc. to discuss data science. Promote and encourage the use of data science in and for the development of human capital.

Design, develop and offer educational and training programmes to educational institutions, data professionals and the public.

Create a repository for data including Open Data. Publish journals and newsletters.

Promote the awareness and study of data science in schools and higher educational institutions. Create a Data Science Code of Professional Conduct and to promote ethical practices in data science at all levels.