Introduction to Big Data Analytics
Issued by
Griffith University
Earners of this micro-credential have been equipped with valuable knowledge and skills required to become a professional data scientist. This course provided an introduction to do data analytics with focus on real-world applications and visualisations. Earners explored the foundations of Big Data in a manner that covers the key concepts and characteristics of big data analytics and its real-world application. Earners also learnt about the practical applications needed to perform analytical tasks
Additional DetailsSkills
Earning Criteria
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Explain and compare standard approaches to storing and managing different types of data
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Apply and combine four different pre-processing techniques to facilitate data interpretation when pre-processing raw data
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Perform three different methods of analysis to interpret processed data
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Design intuitive and compelling data visualisations that aid in the communication and understanding of data within a presentation
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Apply two methods of analysis that are appropriate for large and complex data sets when working with Big Data infrastructures
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Progressive Assessment
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Written Assignment – Staged Assessment
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Exam – constructed response