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

Statistical Analysis with R Commander

R continues to be the platform of choice for the data scientist.  R Commander together with its plug-ins is perhaps the most viable R-alternative to commercial statistical packages like SPSS. R Commander does many of the simple statistical tests and many higher-level statistics and models and most of the analyses that most researchers need.

Course Highlights

  • Installing R commander with it's plugins
  • Importing, editing and analysing data
  • Statistical tests (Chi Sq, t test, Anova)
  • Non parametric tests
  • Linear & logistic and timeseries regression
  • Clustering
  • PCA & Factor Analysis


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: M455

Course Booking


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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

Topic 1: R Commander Basics

  • Summarizing and cleansing data
  • Recoding and computing new variables
  • Subset data
  • Analyzing data
  • Dealing with outliers/ high correlation

Topic 2: Statistical Analysis

  • t test
  • Anova
  • Bonferroni & Tukey tests 
  • Chi Sq test
  • McNemar's test

Topic 3: Correlation Analysis

  • Barlett test
  • Levene test
  • Person test
  • Spearman test

Topic 4: Non-Parametric Analaysis

  • Welch test
  • Mann whitney
  • Wilcox
  • Kruskall wallis
  • Friedman

Topic 5: Regression Analysis

  • Linear regression
  • Logistic regression
  • Hazard regression
  • Kaplan-meier curve

Topic 6:  Clustering Analysis

  • K Means Clustering
  • Hierachical Clustering
  • Principal Component Analysis


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 Analytsts
  • Finance Analysts
  • Marketers


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, rstanarm, knitR, ggplot2), Data Visualization (Tableau, D3.js) and Machine Learnng (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 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.

Statistical Analysis TrainerDr. Ummul Fahri Abdul Rauf has PhD in Applied Statistics from RMIT University, Australia. Her research interests are applied statistics, multivariate analysis, statistical modelling, statistical inference and programming using R Software. As per her affiliation with National Defence University of Malaysia (NDUM) for 12 years, she is also experienced as principal investigator and has worked on a few research grants for parametric and non-parametric analysis, univariate and multivariate analysis using copulas in various areas in engineering, social science, and psychology. She has a strong fundamental knowledge of research methodology, extensive experience with Excel, SPSS, R and MINITAB in writing and presenting reports. At present, she is conducting a special training program in statistical programming including advanced multivariate data analysis using Copulas. Besides teaching and research, her additional duties involve assisting the Director of Quality Assurance and Data Management Centre at NDUM to coordinate and monitor implementation of Quality Management System (QMS) and conduct internal and external audits, to coordinate collection and verification of data for continual enhancement and liaise with relevant external agencies on academic quality compliance issues e.g. Ministry of Higher Education, Malaysian Qualification Agency. Dr. Ummul Fahri currently is the deputy director for Quality Assurance and Data Management Centre and has been holding the post for 4 years.

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State the spec of R software needed. Very well done!Enjoyed it very much (Posted on 21/10/2019)

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