About us
The main focus of the center is to proceed research in various areas of Data science especially Data Mining, Machine Learning, Data Analytics and Visualization. The center’s objective is to develop an efficient technology that will improve the quality of humans life. To work with industrial experts to improve efficiency in advance technologies. To motivate and inspire students to be involved in recent analytics technology.
APCA researchers are dedicated to exploring innovative solutions in data science, with a strong emphasis on practical applications that benefit society. They actively engage in research across areas like machine learning, data mining, analytics, and visualization, while collaborating with industry professionals to ensure real-world relevance. Their work aims to push the boundaries of technology and support the center’s goal of improving human life through data-driven advancements.
Organization Chart
Asia Pacific Centre For Analytics (APCA)
Research Areas
Data Mining and Statistical Analysis
The main focus of the center is to proceed research in various areas of Data science especially Data Mining, Machine Learning, Data Analytics and Visualization . The center’s objective is to develop an efficient technology that will improve the quality of humans life. To work with industrial experts to improve efficiency in advance technologies. To motivate and inspire students to be involved in recent analytics technology.
machine learning
This is what most people associate with data science: “making robots”. This is a larger, more complex version of data mining and statistical analysis. These people focus more on getting all the input you need to feed the model; building data pipelines, convenient data sources, A/B testing and bench marking infrastructure. When/if this is done you might focus on building the actual algorithms/models, but this part more often than not involves well known, industry standard tools and statistical techniques. These focus area has become a buzzword in many organizations though, so I encourage looking into sub-fields within it in order to truly identify what you like.
Data Visualization and Presentation
Being able to present data in a visually appealing way has become part of almost every business analyst and data scientist role. When these focus area becomes an actual role in a company, their main responsibility includes creating BI solutions for teams and customers based on specific business requirements and use cases. In other instances, it can be more graphic design oriented.
Sector-Specific Data Analytics
(Healthcare, Finance, etc. )
Lastly, if you studied Healthcare, Finance or something that requires domain-knowledge expertise to analyze, you might opt to look into simple analyst positions within organizations in these industries. Again, the technical expertise of these roles will depend on the expectations of the company hiring and the tools they use.