Training Course:Decision Support SystemsSchool/Trainer:Macquarie University Department of Statistics North Ryde, NSW, Australia
Course Format: Classroom | E-learning | Virtual Class | Online/Live | On-site/In-house | Blended | Self-paced
Course Description:
'' Decision support systems provide information to support semi-structured and unstructured decisions in modern organisations. The decision support systems studied in this unit are computer based and provide for user manipulation of source data extracted from databases both internal and external to the organisation. Students will study decision support systems involving: Data Warehousing and Data Marts, Online Analytic Processing, Data Mining, and Geographic Information Systems. The unit will be taught using modern software including SPSS Clementine and the popular GIS package MapInfo. Available to graduate students both in Business and in Applied Statistics, this unit expands on topics covered in MIST800 Computer Applications in Business.
Topics
Data Mining: Principles and Concepts Data Mining: Data Warehouse and OLAP Technology Data Mining: Data Preprocessing (Missing values, noisy data, inconsistent data) Data Mining: Concept hierarchies, interestingness measures & visualisation Data Mining: Descriptive data mining Data Mining: Mining Association Rules - Market Basket Analysis Data Mining: Classification and Prediction Data Mining: Cluster Analysis GIS: Introduction �presenting business geographic data GIS: Active earth maps GIS: Maps with hyperlinks GIS: Contour maps ...''
Elements of this syllabus are subject to change.
Please go to the school's official website for training price and schedule:
http://www.stat.mq.edu.au/
Phone:+61 2 9850 7111
School Address/Venue(s):
Macquarie University Balaclava Road, North Ryde, New South Wales 2109 Australia
Jobs & Resumes: North Ryde Houses & Roommates: North Ryde
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Other training courses offered by Macquarie University Department of Statistics:
Computer Applications in Business
Information Management
Web-database Engineering
Applied Business Techniques
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