University Course Planner The University of Adelaide Australia

DATA 7302OL - Real Data: Modern Methods for Finding Hidden Patterns

Career: Postgraduate Coursework
Units: 3
Term: Online Teaching Period 6
Campus: Online
Contact: Up to 4 hours per week
Restriction: Graduate Diploma in Data Science (Applied) OL OR Master of Data Science (Applied) OL Only
Available for Study Abroad and Exchange: No
Available for Non-Award Study: No
Pre-Requisite: Carousel 1 Courses: COMP SCI 7212OL, COMP SCI 7210OL, DATA 7201OL & DATA 7202OL or MATHS 7203OL
Assessment: Assignment and/or exam
Syllabus:

This course builds upon DATA 7201OL Data Taming, to introduce advanced modern techniques for extracting meaningful information from real-world, messy datasets. The course covers methods such as generalised linear models, classification, advanced regression techniques, and unsupervised statistical learning. A particular focus will be data wrangling techniques for non-standard, big, “messy data”: natural language processing, networks and longitudinal data. The course teaches advanced R programming techniques for data science.

Course Fees

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Student Status

Domestic
International

What type of place are you studying in

Commonwealth supported
Full fee paying

Study Level

Undergraduate
Postgraduate Coursework
Non Award

Program of Study

Study Abroad student tuition fees are available here

Only some Postgraduate Coursework programs are available as Commonwealth Supported. Please check your program for specific fee information.

The fees displayed below for international students are for students commencing a program in 2024 only. International students who commenced a program in 2023 or prior can find their fee here.

Units
EFTSL
Amount
3
0.125
          
  


Course Outline

A Course Outline which includes Learning Outcomes, Learning Resources, Learning & Teaching for this course may be accessed here


Critical Dates

Term Last Day to Add Online Census Date Last Day to WNF Last Day to WF
Online Teaching Period 6 Fri 04/10/2024 Fri 01/11/2024 Mon 18/11/2024 Mon 02/12/2024


Class Details

Enrolment Class: Lecture
Class Nbr Section Size Available Dates Days Time Location
66006 01OL 300 291 This class does not have any timetabled face-to-face sessions. Please check MyUni or contact your Course Coordinator for details.