Analytics for Decision Making
Undergraduate
Undergraduate
INFS 3075
Undergraduate
Yes
Note: This offering may or may not be scheduled in every study period. Please refer to the timetable for further details.
164481
4.5
No
UniSA STEM
To provide an overview of the tools and techniques of data analytics for big data, and how these can be used by an organisation. To introduce and use some of the common big data tools.
An overview of big data analytics: data analytics lifecycle; Clustering; association rules; regression; classification; time series analysis; text analytics; MapReduce and Hadoop; In-Database analytics.
Big Data: Analytics flow for Big Data; MapReduce; NoSQL; data acquisition and storage.
Batch Analytics: Map-Reduce and Hadoop; Pig; Oozie, Spark.
Real-Time Analytics: Storm; Spark.
Interactive Querying, serving databases and Web Frameworks.
Baesens, B 2014, Analytics in a Big Data World: The Essential Guide to Data Science and its Applications, Wiley
Bahga, A, Madisetti, V 2016, Data Science and Analytics: A hands on Approach, Arshdeep Bahga & Vijay Madisetti
Common to all relevant programs | |
---|---|
Subject Area & Catalogue Number | Course Name |
MATH 2030 | Applied Probability |
Nil
Component | Duration | ||
---|---|---|---|
INTERNAL, MAWSON LAKES | |||
Lecture | 1 hour x 13 weeks | ||
Computer Practical | 1 hour x 12 weeks | ||
Workshop | 1 hour x 12 weeks | ||
INTERNAL, CITY WEST | |||
Lecture | 1 hour x 13 weeks | ||
Computer Practical | 1 hour x 12 weeks | ||
Workshop | 1 hour x 12 weeks | ||
EXTERNAL, MAWSON LAKES, ONLINE | |||
Online | N/A x 13 weeks |
Note: These components may or may not be scheduled in every study period. Please refer to the timetable for further details.
Assignment, Case study, Continuous assessment
EFTSL*: 0.125
Commonwealth Supported program (Band 2)
To determine the fee for this course as part of a Commonwealth Supported program, go to:
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Fee-paying program for domestic and international students
International students and students undertaking this course as part of a postgraduate fee paying program must refer to the relevant program home page to determine the cost for undertaking this course.
Non-award enrolment
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* Equivalent Full Time Study Load. Please note: all EFTSL values are published and calculated at ten decimal places. Values are displayed to three decimal places for ease of interpretation.