- Code STAT3040
- Unit Value 6 units
- 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
- Dr Anton Westveld
- Mode of delivery In Person
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.
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
• Compare and contrast statistical models in the context of a particular scientific
• 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.
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Requisite and Incompatibility
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:
- 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.
- Domestic fee paying students
- International fee paying students
Offerings, Dates and Class Summary Links
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
|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|