Data Mining with WEKA Training in Sydney

Data Mining with WEKA Training in Sydney, Australia

The course combines theory with hands-on exercises to help learners gain practical experience with classification, clustering, and association rule mining techniques.

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Data Mining with WEKA Training is a professional training program delivered by ProgNXT in Sydney, Australia. ProgNXT, a globally recognized corporate training provider in 55+ countries, offers this Data Mining with WEKA Training course with hands-on, instructor-led sessions. This training introduces the fundamental concepts of data mining and guides participants in using Weka, a user-friendly machine learning tool....

Expert Panel

Designed and delivered by the ProgNXT Data Analysis Expert Panel — a vetted team of industry professionals with 12+ years of hands-on experience in Excel, SQL, Python, Tableau, and Power BI

ProgNXT Data Analysis Expert Panel

Course Code: XBE39
14 Hrs
Last Updated: April 2026

Course Rating5/5

This training introduces the fundamental concepts of data mining and guides participants in using Weka, a user-friendly machine learning tool. The course combines theory with hands-on exercises to help learners gain practical experience with classification, clustering, and association rule mining techniques.

Welcome to the official Data Mining with WEKA Training certification program in Sydney, Australia. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge locally. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 14 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

Basic computer literacy
Basic understanding of statistics (mean, median, standard deviation)
No prior experience in machine learning or Weka required

By the end of the training, participants will be able to independently perform data mining tasks using Weka. They will understand how to select and apply appropriate algorithms, interpret the results, and evaluate model effectiveness.

Understanding data mining principles and techniques
Navigating and using Weka for data analysis
Applying classification, clustering, and association rule algorithms
Evaluating model performance using Weka's built-in tools
Preparing data for machine learning tasks

Key concepts in data mining
Supervised vs unsupervised learning
Using Weka for classification, clustering, and rule mining
Performance metrics: accuracy, precision, recall, ROC, support, confidence
Interpretation of results from Weka

ProgNXT Certificate of Completion will be awarded to participants who complete the course and pass the evaluations.

Introduction to Data Mining and Weka

Introduction to Data Mining

What is data mining
Types of data mining tasks: classification, clustering, association
Differences between data mining, machine learning, and AI
Real-world applications of data mining

Getting Started with Weka

Overview of Weka software
Installation and interface walkthrough
Loading datasets (ARFF and CSV formats)
Exploring data: summary statistics and visualization

Classification in Weka

Introduction to classification and supervised learning
Using J48 decision tree and Naive Bayes algorithms
Running classification tasks in Weka
Understanding model output and confusion matrix

Model Evaluation

Splitting datasets: percentage split and cross-validation
Accuracy, precision, recall, and F1 score
ROC curves and interpretation
Comparing models using evaluation metrics

Advanced Techniques and Applications

Clustering in Weka

Introduction to clustering and unsupervised learning
K-Means clustering algorithm
Running clustering analysis in Weka
Interpreting clustering results and cluster visualization

Association Rule Mining

Introduction to association rules
Support, confidence, and lift explained
Using Apriori algorithm in Weka
Extracting and analyzing rules from datasets

Real-World Case Study

Importing and cleaning a real-world dataset
Choosing appropriate mining tasks
Running multiple algorithms for comparison
Drawing insights from output

Review and Assessment

Recap of all techniques learned
Group discussion: applications in participants' domains
Mini quiz or practical assignment
Q&A and feedback

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Participants will be evaluated based on:
Daily quizzes, mock questions and query resolution. Participation in hands-on exercises and labs. Performance in the final review and hands-on exercises will be evaluated.
ProgNXT Certificate of Completion will be awarded to participants who complete the course and pass the evaluations.

Data Mining with WEKA Training Events in sydney

Online Events

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More Upcoming Session Dates

November 2026

📍 Sydney, Australia

2nd Nov 2026→3rd Nov 2026

🌐 Online Instructor-Led

7th Nov 2026→8th Nov 2026

🌐 Online Instructor-Led

23rd Nov 2026→24th Nov 2026

📍 Sydney, Australia

25th Nov 2026→26th Nov 2026

December 2026

🌐 Online Instructor-Led

4th Dec 2026→5th Dec 2026

📍 Sydney, Australia

11th Dec 2026→12th Dec 2026

🌐 Online Instructor-Led

24th Dec 2026→25th Dec 2026

📍 Sydney, Australia

26th Dec 2026→27th Dec 2026

Events for other courses in Sydney, Australia

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Data Mining with WEKA Training in Sydney