
Creating a Smarter Philippines Through Data Analytics Research and Development (R&D), Training and Adoption
Data Engineer
Data engineer builds and manages data workflows, pipelines, ETL processes, and platforms. Data engineers are mainly responsible for management of the entire data lifecycle: ingestion, processing, surfacing, and storage. They leverage their in-depth knowledge of programming, databases, data warehousing, ETL, and data architecture and pipelining, to use complex tools and techniques to handle data at scale. They also deploy machine learning and statistical models in production. This requires data engineers to understand analytics and business intelligence, together with various frameworks and technologies.
For this learning pathway, you will be trained across the following competencies:
CORE COURSES


Designing and Building Data Products

Essential Excel Skills for Data Preparation and Analysis





Dashboards and Drill-Down Analytics

Data Visualization Fundamentals

Data-Driven Research Fundamentals




Data Science and Machine Learning Using Python
ELECTIVES
Complete at least 1

Statistical Analysis and Modeling Using Excel

Statistical Analysis and Modeling Using SQL and Python

Design Thinking for Analytics

Analytics Applications in Operations

Analytics Applications in Finance and Risk

Data Science and Analytics Project Management


Applied Analytics in Public Human Resource Management

Applied Analytics in Public Finance and Budgeting

Data Engineering in e-Governance Systems

Urban Planning in the Fourth Industrial Revolution

Livable and Sustainable Cities in e-Governance
CAPSTONE COURSE

Data Engineer Capstone Course
Start learning Data Science today
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