Data Mining Training in Melbourne

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Data Mining Training

Melbourne

Gain an in-depth understanding on data mining.
Learn about data visualisation, data preprocessing, and data warehousing.
Obtain knowledge on pattern mining, classification methods, and cluster analysis.

Dates & Prices Dates & Prices

Course information

Data Mining Training Course Outline

Module 1: Getting Started with Data Mining

Introduction to Data Mining
Types of Data
Data Objects and Attribute Types
Data Visualisation
Measuring Data Similarity and Dissimilarity

Module 2: Data Preprocessing

Introduction to Data Preprocessing
Data Integration
Data Cleaning
Data Reduction
Data Transformation
Data Discretisation

Module 3: Data Warehousing and Online Analytical Processing

Basic Concepts of Data Warehousing
Data Cube and OLAP
Design of Data Warehouse
Implementation of Data Warehouse
Uses of Data Warehouse

Module 4: Data Cube

Preliminary Concepts
Data Cube Computation Methods
Multidimensional Data Analysis in Cube Space

Module 5: Mining Frequent Patterns, Associations, and Correlations

Frequent Itemset Mining Methods
Pattern Evaluation Methods

Module 6: Advanced Pattern Mining

Pattern Mining in Multilevel and Multidimensional Space
Constraint-Based Frequent Pattern Mining
Mining High-Dimensional Data and Colossal Patterns
Mining Compressed or Approximate Patterns
Pattern Exploration and Application

Module 7: Classification

Introduction to Classification
Decision Tree Induction
Bayes Classification Methods
Rule-Based Classification

Module 8: Advanced Methods of Classification

Backpropagation
Classification Using Frequent Patterns
Lazy Learners
Genetic Algorithms, Rough Set Approach, and Fuzzy Set Approaches

Module 9: Cluster Analysis

Introduction to Cluster Analysis
Partitioning and Hierarchical Methods
Density-Based and Grid-Based Methods

Module 10: Advanced Cluster Analysis

Probabilistic Model-Based Clustering
Clustering High-Dimensional and Graph Data
Clustering with Constraints

Module 11: Outlier Detection

Outlier Analysis
Outlier Detection Methods
Statistical and Proximity-Based Approaches
Clustering-Based and Classification-Based

Who should attend this Data Mining Training?

The Data Mining Course is tailored to impart knowledge on the process of extracting patterns, correlations, and information from large amounts of data stored in databases, data warehouses, or other information repositories. This course can be beneficial for various professionals aiming to derive insights from data, including:

Data Scientists
Business Analysts
Database Administrators
Marketing Analysts
Researchers
Statisticians
Machine Learning Engineers

Prerequisites of the Data Mining Training

There are no formal prerequisites required for attending this Data Mining Course. Although, a prior understanding of IT concepts can be helpful.

Data Mining Training Course Overview

Data Mining is the method of detecting patterns in large data sets by making use of statistics, Machine Learning and database systems. It includes analysing large amounts of data and converting it into useful information. The insights gained from Data Mining can be used for fraud detection, marketing, scientific discovery, etc.

This course will provide delegates with extensive knowledge on Data Mining. This course will cover the main concepts of Data Mining, including data objects, data visualisation, measuring data similarity, and data preprocessing. Delegates will also learn about data transformation and data discretisation. Data warehousing and online analytical processing will also be crucial concepts of this course, including basic data warehousing concepts, data cube, and OLAP.

In addition, this 2-day training course offered by The Knowledge Academy will cover mining frequent patterns, associations, and correlations including pattern evaluation methods. Delegates will acquire knowledge on advanced pattern mining that comprises constraint-based frequent pattern mining, mining high-dimensional data and colossal patterns, and pattern exploration and application. By the end of this course, delegates will have gained comprehensive knowledge on classification methods, cluster analysis, and outlier detection.

Course Objectives

To comprehend Data Mining concepts and its practical applications
To acquire data preprocessing skills for effective analysis
To grasp data transformation and discretisation techniques
To understand data warehousing and Online Analytical Processing (OLAP)
To become proficient in frequent pattern mining and associations
To develop expertise in advanced pattern mining, classification, clustering, and outlier detection

Upon completing this Data Mining Training Course, delegates will gain advanced skills in extracting valuable insights from large datasets, enhancing their ability to make informed business decisions. Additionally, the course equips them with practical knowledge of cutting-edge data mining techniques.

What’s included in this Data Mining Training?

World-Class Training Sessions from Experienced Instructors
Data Mining Certificate
Digital Delegate Pack

Why choose us

Our Melbourne venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Melbourne is the capital city of the Australian state – Victoria. The population of Melbourne is around 4,500,000 people with its inhabitants known as Melburnians. The metropolitan area is located on the extended natural bay of Port Phillip and expands towards the Dandenong and Macedon mountain ranges. Melbourne was transformed into one of the world’s wealthiest and largest cities during the 1850s gold rush. Melbourne’s economy has particular strengths in areas such as finance, manufacturing, research, IT, education, logistics, transportation, and tourism. Melbourne is also home to the world’s largest mining company BHP Billiton. The seaport in Melbourne is Australia’s largest and handles more than $75 billion in trade every year. There are around 9 million visitors every year, this plays and important role in the economy with an annual $16 billion being brought in on tourism alone. Melbourne is home to many of Australia’s most prominent and well-known schools. Six out of 20 of the best ranked schools in Australia are located in Melbourne. Melbourne was further ranked the world’s fourth top University City just after London, Boston, and Tokyo. The University of Melbourne was ranked top among Australian universities in the 2010 THES international rankings. The University has approximately 43,000 students and 4,000 teach staff. The University of Melbourne is highly ranked in many academic areas such as Law, Computer Science & IT, Arts and Humanities, Dentistry and, Medicine. There are a number of private international schools which includes The Japanese School of Melbourne which is a weekend programme for Japanese Australian and Japanese national students. There are a number of other well-known universities in Australia including the Royal Melbourne Institute of Technology, La Trobe University, and Swinburne University of Technology. An increase in international students attending university in Melbourne has resulted in an increase in the number of places being made available to students.

Address

T: +61 272026926

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Data Mining Training in Melbourne. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

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Unlock your potential with The Knowledge Academy's Data Mining Training in Melbourne, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

Learn more in our FAQs

Experience the most sought-after learning style with The Knowledge Academy's Data Mining Training in Melbourne. Available in 490+ locations across 190+ countries, our hand-picked Classroom venues offer an invaluable human touch. Immerse yourself in a comprehensive, interactive experience with our expert-led Data Mining Training in Melbourne sessions.

Highly experienced trainers

Boost your skills with our expert trainers, boasting 10+ years of real-world experience, ensuring an engaging and informative training experience

State of the art training venues

We only use the highest standard of learning facilities to make sure your experience is as comfortable and distraction-free as possible

Small class sizes

Our Classroom courses with limited class sizes foster discussions and provide a personalised, interactive learning environment

Great value for money

Achieve certification without breaking the bank. Find a lower price elsewhere? We'll match it to guarantee you the best value

Learn more in our FAQs

Streamline large-scale training requirements with The Knowledge Academy's In-house/Onsite at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

Tailored learning experience

Leverage benefits offered from a certification that fits your unique business or project needs

Maximise your training budget

Cut unnecessary costs and focus your entire budget on what really matters, the training.

Team building opportunity

Our offers a unique chance for your team to bond and engage in discussions, enriching the learning experience beyond traditional classroom settings

Monitor employees progress

The course know-how will help you track and evaluate your employees' progression and performance with relative ease

Learn more in our FAQs

What our customers are saying

Data Mining Training in Melbourne FAQs

What time shall I arrive at the venue?

Please arrive at the venue at 8:45am.

What are the pre-requisites?

There are no formal prerequisites for attending this course. However, basic knowledge of the IT industry will be beneficial.

Who should attend this course?

Anyone who is interested in learning the data mining can attend this course. This course is best-suited for IT managers aiming to improve data management and analysis techniques.

Do you offer support for the course?

We are able to provide support via phone & email prior to attending, during and after the course.

What is included in the course?

Delegate pack consisting of course notes and exercises, Manual, Experienced Instructor, and Refreshments

What is the duration of this course?

This course is 2 days.

How long until I receive the course confirmation details?

Once your booking has been placed and confirmed, you will receive an email which contains your course location, course overview, pre-course reading material (if required), course agenda and payment receipts

What is the cost/training fees for Data Mining Training in Melbourne?

The training fees for Data Mining Trainingin Melbourne starts from AUD4795

Which is the best training institute/provider of Data Mining Training in Melbourne?

The Knowledge Academy is the Leading global training provider for Data Mining Training.

What are the best Data Science Courses courses in Melbourne?

Please see our Data Science Courses courses available in Melbourne

Why choose us

Best price in the industry

You won't find better value in the marketplace. If you do find a lower price, we will beat it.

Many delivery methods

Flexible delivery methods are available depending on your learning style.

High quality resources

Resources are included for a comprehensive learning experience.

"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

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