R Programming Training Malaysia (2026) — HRDF Claimable
R is the programming language of choice for statisticians, data analysts, and researchers worldwide — and increasingly in demand in Malaysia's growing data analytics market. R Programming training equips Malaysian professionals with practical skills in data manipulation using the tidyverse, statistical analysis, and powerful data visualisation with ggplot2.
Quick Answer: R Programming Training Malaysia
What is it: Hands-on R programming training covering data import, manipulation with dplyr/tidyverse, statistical analysis, data visualisation with ggplot2, and reproducible reporting with R Markdown.
Who is it for: Data analysts, researchers, statisticians, financial analysts, and professionals transitioning into data roles who need strong statistical analysis and visualisation capabilities.
Typical cost: RM1,200–RM3,000 per day; beginner to intermediate programs typically run 2–3 days.
What You'll Learn
- Import, clean, and manipulate data efficiently using tidyverse packages (dplyr, tidyr, readr)
- Create publication-quality data visualisations and charts using ggplot2
- Perform statistical analysis — descriptive statistics, hypothesis testing, regression, and ANOVA
- Build reproducible analysis reports using R Markdown for consistent, automated reporting
- Apply R to real-world business analytics tasks in finance, marketing, operations, and research
Who Should Attend
Data analysts, business analysts, academic researchers, financial and risk analysts, pharmaceutical researchers, marketing analysts, and professionals in any sector who need statistical computing and data visualisation skills beyond Excel.
Full Curriculum: What This Training Covers
That's the outcome — here's exactly how we get you there, module by module. A typical programme is organised into these modules; content is tailored to your team, roles, and industry.
1.Introduction to R and the RStudio Environment
Installing and navigating RStudio, using R interactively on the command line and GUI, R syntax and case sensitivity, getting help with functions, recalling commands, and managing objects in the workspace.
2.R Objects, Data Types and Vectors
Working with vectors and assignment, vector arithmetic and recycling, generating sequences, logical and character vectors, handling missing values (NA), index vectors for subsetting, and object modes, attributes and classes.
3.Data Structures: Matrices, Lists and Data Frames
Creating and indexing arrays and matrices (multiplication, inversion, transpose), ordered and unordered factors with tapply(), and constructing, modifying and attaching lists and data frames to hold real datasets.
4.Importing and Exporting Data
Reading external files with read.table() and scan(), importing CSV and Excel-style datasets, accessing built-in and package datasets, editing data, and exporting results for use in real-world analysis.
5.Control Flow and Writing Functions
Grouped expressions and conditional if statements, repetitive execution with for, while and repeat loops, and writing your own functions with named arguments, defaults, the '...' argument and variable scope.
6.Data Manipulation with dplyr
Data wrangling using the tidyverse dplyr package — filtering, selecting, mutating, arranging, grouping and summarising data frames to clean and reshape datasets for analysis.
7.Data Visualisation with ggplot2 and Base Graphics
Building insightful charts with the ggplot2 package, high-level plot() commands, displaying multivariate data, and customising graphical parameters such as axes, margins, annotation and multiple-figure layouts.
8.Statistical Analysis, Modelling and Reporting
Probability distributions and one- and two-sample tests, linear and generalized linear models (glm), ANOVA and model comparison, plus producing professional reports with R Markdown and a practical case study; this course is HRD Corp (SBL-Khas) claimable.
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Frequently Asked Questions About R Programming Training Malaysia
No prior programming experience is needed for beginner R courses. R is designed for data analysis and has a gentler learning curve for statistical work compared to general-purpose languages. Familiarity with Excel and basic statistics is helpful. Training starts from installation and basic syntax before progressing to data analysis tasks.
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Ringkasan dalam Bahasa Melayu
Latihan pengaturcaraan R di Malaysia mengajar profesional cara mengimport, membersihkan, dan menganalisis data menggunakan pakej tidyverse serta mencipta visualisasi data berkualiti tinggi dengan ggplot2. Program ini turut merangkumi analisis statistik dan pelaporan boleh-diulang menggunakan R Markdown. Ia sesuai untuk penganalisis data, penyelidik, dan profesional kewangan di Malaysia. Boleh dituntut melalui HRD Corp.
Last Verified: March 2026