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HRDF Approved Training Provider in Malaysia - Modular Fast Track Skill-Based Trainings

Data Mining with R Rattle Training

R continues to be the platform of choice for the data scientist. Rattle is an open source GUI for data mining and is used widely for Machine Learning and Data Mining by Data Scientists. Rattle allows for a easy point an click interface which provides easy access to build analytical models and draw useful inferences from them. Paticipants will discover the basic concepts of data mining and machine learning and carry out predictive modeling in R.

Course Highlights

  • Data mining using Rattle 
  • Data analytics using Rattle
  • Classification using Rattle
  • Regression using Rattle
  • Clustering using Rattle


All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

HRDF SBL Claimable for Employers Registered with HRDF

HRDF claimable

Course Code: M451

Course Booking


Course Date

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Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.

Course Details

Module 1: Basics of Rattle

  • Install Rattle package
  • Rattle GUI interface
  • Pre-processing data in Rattle
  • Partition and classify variables
  • Tansforming data

Module 2: Basic Statistics

  • Descriptive statistics
  • Graphs
  • Hypothesis testing
  • Ranking

Module 3: Data Mining

  • Association rules
  • K means Clustering
  • Heirachical Clustering

Module 4: Classification

  • Support Vector Machine
  • Neural Network
  • Decision Tree
  • Random Forest

Module 5: Predictive Analytics

  • Linear Regression
  • Multiple Regression
  • Logistic Regression
  • tTme Series Regression

Course Admin


This is an intermediate course. the following knowledge is assumed

Software Requirement

Pls download and install the following software prior to the class

Who Should Attend

  • Data Scientists
  • Data Analysts
  • Finance Analysts
  • Marketers


R TrainerDr. Zahra Nazemi has PhD in mathematical statistics from Universiti Putra Malaysia. Her research interests are applied statistics, medical statistics, Bayesian statistics, statistical inference and Software R. She has worked as a lecturer in different universities for more than 4 years. She also consulted and worked on assignments for parametric and non-parametric analysis, univariate and multivariate regression analysis in various areas such as medical, economics and psychology. Her other skills are knowledge of research methodology, extensive experience with SPSS, AMOS, R and MINITAB and writing and presenting reports. Moreover, she conducted a special training program in mathematical programming including optimization, advanced multivariate data analysis, and simulation techniques.

Data Science TrainerDr. Aanand Verma is a Full Stack Data Scientist who once had a torrid love affair with Physics. He has consulted and published in the area of Public Health, Electricity Markets, Telecom, BFSI, Advertising & Communication Strategies and Digital & Social Media Technologies. He has worked on assignments with international agencies such as International Monetary Fund, World Bank, Royal Netherland Embassy etc. besides MNCs like Tata Consultancy Services, Kie Square Consulting and several government organizations of national importance. He regularly conducts general training programs in Python (Pandas, NumPy, SciPy, Matplotlib, Bokeh), R (dplyr, standard, knitR, ggplot2), Data Visualization (Tableau, D3.js) and Machine Learning (Reinforced Learning, Scikit Learn) and specialized training programs on Structural Equation Modeling and SAP Hana. He holds a doctorate in Operations Research from Indian Institute of Management Ahmedabad and a post-graduate in Physics from the University of Mumbai. He has advanced training in mathematical programming including optimization, advanced multivariate data analysis, and simulation techniques. When he is not teaching or consulting he can be found meditating or heading for an adventurous trek.

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