University of Technology, Sydney

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94692 Data Science Practice

8cp
Requisite(s): 36102 iLab 1

Description

The subject covers the following topics in detail:

  • practical introduction to R and Python for data science
  • working with UNIX systems (with a focus on cloud-based analytics systems)
  • introduction to assorted data stores/access techniques (SQL, Hadoop, Hive, Spark)
  • version control with Github and data science hygiene (writing maintainable, robust code, unit testing, etc.)
  • building complete machine learning systems (training a model, then deploying it as an API or in batch mode).


Detailed subject description.

Access conditions

Note: The requisite information presented in this subject description covers only academic requisites. Full details of all enforced rules, covering both academic and admission requisites, are available at access conditions and My Student Admin.