Data Science Thinking
About This Course
This course introduces the foundations of data science and its dynamic ecosystem allowing learners to explore core concepts, ethical frameworks, and market mechanisms that shape data-driven environments. Integrating insights from personality and social psychology to interpret human behaviour, these perspectives will also be applied to data science challenges. Emphasis is placed on responsible decision making and understanding economic principles such as demand, supply, and price adjustments within data ecosystems. By the end of the course, learners will be equipped to design high level, practical solutions to real world data science problems, combining technical knowledge with behavioural and ethical considerations.
What You'll Learn
1. Describe the notion of data science.
2. Describe data science ecosystem.
3. Apply theories and methods in personality and social psychology to understand human behavior to address data science problems.
4. Apply ethical principles and established frameworks to make responsible ethical decisions towards building a robust data science ecosystem.
5. Integrate demand, supply, price adjustment mechanism and market outcomes in data science ecosystem.
6. Design high level solutions to real world data science problems.
Entry Requirements
No pre-requisites are needed to enroll in the individual courses; however, learners without qualifications or work experience in relevant engineering or the related fields may find the course contents challenging. Prior knowledge in STEM field will be an advantage.