|Short Description:||Intro Data Science Visual|
|Faculty or Section :||Faculty of Health, Engineering and Sciences|
|School or Department :||School of Sciences|
|Student contribution band :||Band 2|
|ASCED code :||020199 - Computer Science not elsewhere|
|Grading basis :||Graded|
|Version produced :||1 June 2020|
While this course does provide an accelerated introduction to fundamental programming knowledge, it is the student’s responsibility to ensure their introductory knowledge of computing is consistent with that found in CSC1401 Foundation Programming. Students without the requisite knowledge may wish to enrol in other courses prior to this course or at least co-enrol to ensure that their introductory knowledge of computing meets this requirement.
This course covers foundational data science concepts, tools, methodologies and visualisation. Students will learn how to extract knowledge from data through hands-on experience with common data science programming tools and methodologies. They will create data visualisations to conduct exploratory and confirmatory data analysis. And will gain an appreciation of the breadth of data science applications and their potential value across disciplines.