Learn Data Mining in Melbourne, Victoria

Training courses, certificates, diplomas or degree programs of Data Mining for students in Melbourne, VIC


Total 16 training courses and degree programs available.

Data Mining for School Leaders

Course Format: Online / Virtual / E-learning
School/Trainer: GradSchool
  V

With increasing pressure on school leaders to draw upon research and evidence in their decision-making, the need for effective management and critical engagement with school-based and system-wide data has become imperative. This course aims to assist school leaders in managing and mining data to make evidence-based decisions.

Objectives This course provides students with the opportunity to:
1) understanding and analyse school-based and system-wide data,
2) apply data mining and/or knowledge management strategies to a real-world case, and
3) link data mining and analysis to strategic decision-making.
Content Indicative course content:

* Contemporary Context of Performance-Based Leadership in Schools
* Reliability and Validity of Data
* Issues related to School-Based Data
* Issues related to System-Wide Data
* Data Mining Strategies
* Knowledge Management Principles
* Evidence-Based Decision-Making

Web Data Mining for Business Intelligence

Course Format: Online / Virtual / E-learning
School/Trainer: DePaul University
  V

An in-depth study of the knowledge discovery process and its applications in Web mining, Web analytics and business intelligence. The course provides coverage of various aspects of data collection and preprocessing, as well as basic data mining techniques for segmentation, classification, predictive modeling, association analysis, and sequential pattern discovery. The primary focus of the course is the application of these techniques to Web analytics, user behavior modeling, e-metrics for business intelligence, Web personalization and recommender systems. Also addressed are privacy and ethical issues related to Web data mining. Students can choose from three types of final course projects: implementation projects, research papers, or data analysis projects. Throughout the course, the students will learn and use a variety of data mining tools to analyze sample data sets as part of class assignments.

Programming Data Mining Applications

Course Format: Online / Virtual / E-learning
School/Trainer: DePaul University
  V

The course will focus on the implementations of various data mining and machine learning techniques using a high-level programming language. Students will have hands on experience developing both supervised and unsupervised machine learning algorithms and will learn how to employ these techniques in the context of popular applications including automatic personalization, recommender systems, searching and ranking, text mining, group and community discovery, and social media analytics.

Mining Big Data

Course Format: Online / Virtual / E-learning
School/Trainer: DePaul University

Introduction to fundamentals of distributed file systems and map-reduce technology (e.g., Hadoop), tuning map-reduce performance in a distributed network. Algorithms and tools for mining massive data sets and discussion of current challenges. Applications in clustering, similarity search, classification, data warehousing (e.g., Hive), machine learning (e.g., Mahout).

ADVANCED AUDITING AND DATA MINING TECHNIQUES

Course Format: Online / Virtual / E-learning
School/Trainer: Franklin University
  V

A study of auditing issues from case studies and application of data mining techniques in solving audit issues. Key area of concentration with case studies include client acceptance, understanding client business, audit risk assessment, materiality, fraud considerations, internal control objectives and deficiencies, auditing business processes and related accounts, and professional and ethical responsibilities. Key areas of focus with data mining techniques include application with ACL software tables, filters, and commands, audit planning, test of transactions and test of balances. Students will also explore the use of ACL software for forensic auditing and management reports.

Oracle Database 10g: Data Mining Enhancements (Certificate)

Course Format: Online / Virtual / E-learning
School/Trainer: ExitCertified USA


Use Non-Negative Matrix Factorization with Oracle Data Mining

Mine data using PL/SQL API

Mine text data

Use Adaptive Bayes Network Algorithm Enhancement




Control multiple users accessing data mining objects

Prepare data before mining

Enhance ODM functionality with Support Vector Machine Algorithm

Automated Data Mining with IBM SPSS Modeler (Certificate)

Course Format: Online / Virtual / E-learning
School/Trainer: ExitCertified USA
  V

This class will show you how to use IBM SPSS Modeler to automate the building of predictive models. The course will show you how to build predictive models for customer behavior and build customer segmentation using various cluster models. You will learn how to read data from various sources and automatically prepare data for modeling using a variety of methods. Scoring new data using the model will also be discussed.

Data Mining (Certificate)

Course Format: Online / Virtual / E-learning
School/Trainer: NJIT Online
  V

Many companies collect reams of data about their customers and their transactions, but how can a company drill through these repositories of data to unearth crucial insights and knowledge about customer behavior and market trends?
This graduate certificate provides an introduction to data mining with an emphasis on large-scale databases as a source of knowledge generation and competitive advantage.

Microsoft Business Intelligence 2010 Stack (MSBI)

Course Format: Online / Virtual / E-learning
School/Trainer: Webucator
  V


This Microsoft Business Intelligence 2010 Stack training provides students with the knowledge and skills to develop Microsoft End-to-End business solutions using SQL Server 2008 R2 in an integrated environment with SharePoint 2010 and Office 2010.

The course introduces the students to Microsoft Unified Data Model, SQL 2008 R2 Analysis Services, Integration Services, Reporting Services, Report Builder 3.0, SharePoint 2010 Integration, and the Business Intelligence Center, PerformancePoint Services, Business Connectivity Services, Dashboard Designer, Excel Services, Power Pivot and Data Mining.

Class Goals
•Learn to describe the entire Microsoft Business Intelligence stack and the role of each component so that a better informed estimate of resources might be made in the BI project.
•Learn to explain the concept of the Unified Data Model, understand its limitations and practical implementations and when it might be appropriate to use in a fast and low co... [Read More]

SharePoint 2010 Business Intelligence MSBI

Course Format: Online / Virtual / E-learning
School/Trainer: Webucator
  V


This SharePoint 2010 training class explores how to use SharePoint as your platform for Business Intelligence. Journey through the SharePoint Business Intelligence Center, Excel Services, Reporting Services, Analysis Service, Performance Point and PowerPivot to implement your BI Strategies and enable your decision makers to see data in new and dynamic ways! This course will take you down a path of building a BI environment from scratch to full interactive dashboards using the Microsoft BI Stack.

Class Goals
•Explore the new Business Intelligence Center, Analysis Services, Excel Services, Business Connectivity Services, Visio Services, Access Services, Power Pivot, Performance Point and Bing Maps.
•Utilize Bing Maps API
•Build a Data Mart and a Data Warehouse

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