The Department of Science and Technology-Philippine Council for Industry, Energy and Emerging Technology Research and Development (PCIEERD) is encouraging qualified Filipinos to maximize their time at home by enrolling in an online training under the project, Smarter Philippines through Data Analytics Research and Development, Training and Adoption or Project Sparta.
The trainings may be attended free of charge through scholarships made available under the project.
“It is our goal to upskill 30,000 Filipinos who will be capable to handle big data generated by the different government agencies as well as other entities in the country. We put weight on this initiative as we believe that data science can ultimately change and boost government processes, for the benefit of each Filipino; and even solve some of our country’s major problems,” said DOST-PCIEERD Executive Director Enrico Paringit.
In partnership with the Development Academy of the Philippines, Analytics Association of the Philippines (AAP), and Coursebank, Project Sparta offers free online education to capacitate interested individuals with essential data science and analytics knowledge and skills to efficiently manage, analyze and interpret data.
Project Sparta is open to all Filipinos permanently based in the country, who are at least senior high school graduates, with or without prior knowledge on data science and analytics.
Among the learning pathways scholars may pursue is being a data associate in which they gather, process, and analyze data and prepares reports that highlight relevant trends and other significant results.
They provide some information on observable trends and patterns that help senior analysts and managers easily identify opportunities for follow-up in-depth analysis.
Applicants may also become data stewards who are responsible for ensuring that an organization’s data is well-defined, managed, and ready to use for downstream reporting, analytics, modeling, or even artificial intelligence use cases. Essentially, they are the gatekeepers of data, working to improve data quality; ensure data acquisition, usage, maintenance, access, and security, in compliance with policies, rules, regulations, and ethical practice.
They may also become data engineers who are builders and managers of data workflows, pipelines, ETL processes, and platforms and are mainly responsible for the management of the entire data lifecycle: ingestion, processing, surfacing, and storage.
Data analysts meanwhile leverage reporting, data analysis, and modelling techniques to solve problems and gather insight across functional domains. They also analyze data and assess requirement from a business perspective related to an organization’s overall system.
Data scientists are specialists who apply their expertise in statistics and building machine learning models, enriched with programming, to make predictions and answer key business questions. Data scientists create sophisticated analytical models used to build new datasets and derive new insights for data.
Analytics managers oversee analytical operations and communicate insights to executives. Analytics managers translate analytical results to actionable business items. Their role is to drive business outcomes, bridging technical expertise from steward, engineer, scientist and analyst with the operational expertise of the business functions. – DOST release
