• Offered by Rsch Sch of Finance, Actuarial Studies & App Stats
  • ANU College ANU College of Business and Economics
  • Course subject Statistics
  • Areas of interest Actuarial Studies, Finance, Statistics
  • Academic career UGRD
  • Course convener
    • Dr Anton Westveld
  • Mode of delivery In Person
  • Offered in Second Semester 2016
    See Future Offerings

This course provides an introduction to statistical learning and aims to develop skills in modern statistical data analysis. There has been a prevalence of "big data" in many different areas such as finance, marketing, social networks and the scientific fields. As traditional statistical methods have become inadequate for analysing data of such size and complexity, this has led to the development of new statistical methods for extracting information, or "learning", from such data. This course will cover a range of topics in statistical learning including linear regression, classification techniques, resampling methods such as the bootstrap, regularisation methods, tree based methods and unsupervised learning techniques such as clustering. As much modern data analysis requires the use of statistical software, there will be a strong computing component in this course.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

Upon successful completion of the requirements for this course, students should have the
knowledge and skills to:

• Understand the rationale behind the formulation and components of a statistical
model.
• Compare and contrast statistical models in the context of a particular scientific
question.
• Communicate complex statistical ideas to a diverse audience.
• Formulate a statistical solution to real-data research problems.
• Understand the theoretical and computational underpinnings of various statistical
procedures, including common classes of statistical models.
• Demonstrate computational skills to implement various statistical procedures.

The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.

Requisite and Incompatibility

To enrol in this course you must have completed STAT2001 and STAT2008

Majors

Fees

Tuition fees are for the academic year indicated at the top of the page.  

If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Student Contribution Band:
2
Unit value:
6 units

If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees.  Where there is a unit range displayed for this course, not all unit options below may be available.

Units EFTSL
6.00 0.12500
Domestic fee paying students
Year Fee
2016 $3276
International fee paying students
Year Fee
2016 $4368
Note: Please note that fee information is for current year only.

Offerings, Dates and Class Summary Links

The list of offerings for future years is indicative only.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.

Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
8839 18 Jul 2016 29 Jul 2016 31 Aug 2016 28 Oct 2016 In Person N/A

Responsible Officer: Registrar, Student Administration / Page Contact: Website Administrator / Frequently Asked Questions