Advanced Certificate in Applied Data Science and Analytics (II) Module 3: Data Science Project and Model Management (Synchronous E-Learning)
About This Course
This module focuses on practical skills for project and model management in real-life data science projects. Participants will gain essential skills in understanding analytics processes and best practices, managing data sources and required resources, upholding data governance, and comprehending the structure of analytics solutions. Additionally, they will have the opportunity to either perform data visualisation, present insights through compelling data storytelling, conduct predictive modelling or forecasting, implement advanced machine learning models, or develop generative artificial intelligence solutions. The module emphasises planning and managing projects to ensure successful delivery and implementation of final solutions within a proper framework.
Moreover, in today’s world, organisations often rely on numerous data-driven Data Science/Artificial Intelligence models for day-to-day operations. Given that these models' performance can change with shifts in data patterns, ongoing validation and maintenance are essential. Participants will also learn about the critical aspects of model maintenance in Data Science.
What You'll Learn
• Learn the key characteristics of a data driven organisation and key stakeholders
• Understand the challenges of data collection
• Learn analytics lifecycle and technology consideration for rapid deployment
• Learn Data Science (DS) and Artificial Intelligence (AI) project management aspects (which is different from IT project management)
• Learn model management, maintenance and documentation
Entry Requirements
This programme is structured to provide a comprehensive learning experience. Participants are required to complete the modules in the designated sequence to ensure a solid understanding of each topic before moving on to the next.