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Advanced R Data Analysis Training in Singapore

Course Information

  • Sessions 1 day
  • Duration 7.5 hrs
  • Level Intermediate
  • Assessment NA

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

Course Brochure

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Certification

  • Certificate of Achievement from Tertiary Infotech Academy Pte Ltd - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Achievement from Tertiary Infotech Academy Pte Ltd.

AI Vibe Coding with R

Course Code: C143
AI Vibe Coding Series

35 Review(s) | Add Your Review

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What's This Course About

Analyse data faster with AI Vibe Coding with R. This hands-on 1-day course teaches you how to use AI coding assistants such as Cursor, GitHub Copilot and Claude to write, run and debug R code for data analysis and statistics. Instead of memorising R syntax and package APIs, you will vibe code — describing the analysis you want in plain language and letting AI generate, refactor and explain your R scripts while you focus on the questions and the insight.

Through practical exercises, participants will set up R and RStudio with an AI assistant, import and clean datasets, run statistical analysis and build visualisations, and produce a shareable report — all with an AI pair programmer at their side. You will also learn to review, correct and improve AI-generated R code so your results stay accurate and reproducible. By the end of the course, you will be able to analyse data with R far more productively using an effective AI vibe-coding workflow.

Course Fee

$350.00 (GST-exclusive)
$381.50 (GST-inclusive)

Course Date

Course Time

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Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Cancellation & Reschedule Policy

  • You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
  • Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Course Details

What You'll Learn

Topic 1 Getting Started with AI Vibe Coding in R

  • Introduction to R, Data Analysis and Vibe Coding
  • Setting Up R, RStudio and AI Coding Assistants (Cursor, GitHub Copilot, Claude)
  • Generating R Code to Import and Clean Data with AI
  • Effective Prompting for R Data Analysis

Topic 2 Analysing and Visualising Data with AI in R

  • Exploring and Summarising Data with AI-Generated R Code
  • Statistical Analysis and Modelling with R and AI
  • Creating Charts and Visualisations with the Tidyverse and ggplot2
  • Reviewing, Debugging and Reproducing AI-Generated R Results

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Experience

  • Minimum of 1 year of working experience.

Target Age Group: 21-65 years old

Minimum Software/Hardware Requirement

Software:

You can download and install the following software:

Hardware: Windows and Mac Laptops

Job Roles

Job Roles

  • Data Scientists
  • Data Analysts
  • Marketeers

Trainers

Trainers

Dr Alvin Ang is a ACTA certified trainer. Dr. Alvin Ang did his Ph.D., Masters and Bachelors from NTU, Singapore. Previously he was a Principal Consultant (Data Science) as well as an Assistant Professor. He was also 8 years SUSS adjunct lecturer. His focus and interest is in the area of real world data science. Though an operational researcher by study, his passion for practical applications outweigh his academic background. He owns a startup externally.

Dwight Nuwan Fonseka is Head of Data Science at Plano Pte. Ltd. and an ACLP-certified trainer with deep expertise in data analytics, machine learning, and AI applications. He has extensive hands-on experience developing predictive models, RShiny dashboards, and deep learning solutions using R, Python, TensorFlow, and Keras. With a strong professional background in healthcare, finance, and customer analytics, Dwight brings an applied perspective to teaching AI, focusing on both the opportunities and risks of emerging technologies.

Review

Customer Reviews (35)

might recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
maybe more in depth content instead of the basic analysis codes?
There werent much qualitative analysis training content as i had expected there would. As that was why i had joined the advanced class. (Posted on 2/12/2022)
will recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Trainer is very funny and knowledgeable (Posted on 7/25/2021)
might recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 4/10/2021)
Interesting and informative Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Interesting and informative (Posted on 4/5/2020)
will recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 2/14/2020)

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