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  • Data Analytics with R

Learn statistics and data analytics using r programming language and r statistics

Course Information

  • Sessions 1 day
  • Duration 7.5 hrs
  • Level Beginner
  • 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.

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Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

Data Analytics with R

Course Code: C182

146 Review(s) | Add Your Review

What's This Course About

Turn data into insight with Data Analytics with R. This hands-on 1-day course teaches you the fundamentals of data analytics using R, the popular language for statistics and data science. You will learn to load, clean, explore and visualise data, and run basic statistical analysis to answer real questions.

Through practical exercises, participants will import and tidy datasets, compute summaries, create charts, and perform basic statistical tests using R and packages like the tidyverse. By the end of the course, you will be able to use R to analyse data and communicate insights clearly.

Course Fee

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

Course Date

* Required Fields

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 Data Analytics in R

  • Introduction to R and Data Analytics
  • Setting Up R and RStudio
  • Importing and Cleaning Data
  • Exploring and Summarising Data

Topic 2 Visualisation and Analysis with R

  • Creating Charts and Visualisations
  • Working with the Tidyverse
  • Basic Statistical Analysis
  • Communicating Insights

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 Analyst
  • Market Researcher
  • Business Analyst
  • Quality Assurance Specialist
  • Social Science Researcher
  • Graduate Student
  • Economic Analyst
  • Product Manager
  • Human Resources Analyst
  • Healthcare Data Specialist
  • Educational Researcher
  • Sports Statistician
  • Financial Analyst
  • Behavioral Scientist
  • Environmental Data Specialist.

Trainers

Trainers

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.

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.

Review

Customer Reviews (146)

will recomend 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 some hands on exercise would be great.
Trainer’s examples are easy to follow and relevant. (Posted on 3/13/2022)
Dwight is a good instructor 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
Dwight is a good instructor who is patient and repeatedly reminded us on key parts of the program (Posted on 2/25/2022)
might recomnend 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
Perhaps to send the R files to us as well so that we can take a look at it while listening to the Zoom sharing and try it in our r workspace (Posted on 1/8/2022)
Very passionate trainer!!. 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
.Great presentation. Very passionate trainer!!. (Posted on 12/28/2021)
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 7/21/2021)

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