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Unit of study_

ODAT5011: Data Analytics Foundations

2024 unit information

Are you ready to unlock the power of data analytics? In today's world, data is essential for making informed decisions, and learning how to use it effectively is critical. This unit will show you how to harness the power of data from a range of sources to drive decision making in multiple domains. Using the R programming language, you will learn to manipulate data, perform statistical analyses, create visualisations and produce reproducible reports. With a focus on identifying and justifying appropriate data analytics techniques, by the end of this unit you'll be equipped to investigate social, scientific, and organizational problems, and then evaluate and communicate your results to diverse audiences, developing skills that are in high demand across many industries.

Unit details and rules

Managing faculty or University school:

Mathematics and Statistics Academic Operations

Code ODAT5011
Academic unit Mathematics and Statistics Academic Operations
Credit points 6
Prerequisites:
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None
Corequisites:
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None
Prohibitions:
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None
Assumed knowledge:
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None

At the completion of this unit, you should be able to:

  • LO1. Clearly explain how a diverse range of data sources and analytical methods can be effectively employed to inform decision-making across multiple domains.
  • LO2. Utilise the R programming language to manipulate data, perform statistical analyses, generate data visualisations, and create reproducible reports.
  • LO3. Identify, justify and implement appropriate data analytics techniques to investigate social, policy, scientific and organisational problems.
  • LO4. Evaluate and communicate the outcomes and implications of a range of statistical analyses to diverse audiences.

Unit availability

This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.

The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.

Session MoA ?  Location Outline ? 
Semester 1a 2024
Online Online Program
There are no availabilities for previous years.

Modes of attendance (MoA)

This refers to the Mode of attendance (MoA) for the unit as it appears when you’re selecting your units in Sydney Student. Find more information about modes of attendance on our website.