Data Science Essentials 2


Level of study: Career Based/Vocational

Data Science Essentials 2 examines various processes used to identify different patterns in collected data and how to construct data sets to solve distinct data science problems.
Who should attend?
This course builds on the skills gained in Data Science Essentials 1.
This course credits into further study, or can be taken stand alone.
Course content
During this course you will learn to develop data into different models, evaluate these models and use them to create stories
You will also learn to apply this knowledge to different domains and deploy the models created and refine them based on feedback and how to explore and rationalise ethical and privacy issues related to data science
Course outcome
Examine the different stages of the data science life cycle including ethical and legal implications in data science
Generate and transmit data models
Apply them to construct stories about a business problem
Completion of this micro-credential as part of the Graduate Certificate in Digital Transformation and Creative Intelligence is subject to Academic approval

Key Information
Visa Information
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