School Of Computing, Engineering And MathematicsGenomic Data ScienceWestern Sydney University Unit Code: 301118.1
Discipline: STATISTICS
Student Contribution Band: 2
Level: 7
Credit Points: 10
Assumed Knowledge
1). Statistics: Basic understanding of core statistical concepts such as what is a variable in statistics, what is and how to make histograms and summaries of data, Gaussian vs Poisson distributions, how to plot using R; 2). Large scale data management: Basic programming skills (what is a variable in programming, “for” and “while” loops). How to view, manipulate and manage data using a Linux command line (e.g. familiarity with basic bash command line).
The HIE course ‘Data Analysis And Visualization With R’ (http://www.westernsydney.edu.au/hie/opportunities/training_courses/data_analysis_r) will fulfil these requirements as will the year 1 MSc Data Science units
Unit Enrolment Restrictions
Students must be enrolled in a postgraduate course.
About this Unit
Successful data scientists work across multiple business domains, have the ability to rapidly grasp the basics and adapt to achieve the business intelligence outcomes. Further, it is imperative to showcase the thinking of experimental scientists such as forming testable hypotheses and identifying sources of errors. In this unit we delve into the domain of life sciences, learn how to design and conduct biological experiments and use our analytical skills to explore real data from our oral microbiomes.
Special Requirements - Essential Equipment
Access to a Computer