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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.

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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.

Advanced R Data Analysis Training

Course Code: C143

35 Review(s) | Add Your Review

What's This Course About

Dive deep into the world of R data analysis with our comprehensive training program. This course prioritizes hands-on learning and provides you with advanced knowledge of the tidyverse data wrangling packages. With a focus on both quantitative and qualitative data analysis, you'll gain a versatile skill set that's essential for a range of industries.

Furthermore, we emphasize the power of efficient data piping, ensuring you can manage and manipulate data with ease. Whether you're looking to upgrade your existing R skills or transition into a data-focused role, this course will provide the expertise you need to excel. Join us at Tertiary Courses and take your data analysis prowess to the next level.

Funding Options

No funding is available for this course.

For WSQ funding, please checkout the details at WSQ - Data Analytics and Visualization with R

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 Data Preparation and Transformation

Overview of Data Analysis of Research Data

Install R Data Analysis Packages - Tidyverse and ggplot2

Import and Export Dataset

Filter and Slice Data

Clean Data

Join Data

Transform Data

Aggregate Data

Pipe Data

Topic 2 Data Summary

Categorical vs Continuous Data

Quantitative vs Qualitative Data

Descriptive Statistics of Data

Summarize Data

Basic Plots and Tables

Topic 3 Quantitative Data Analysis

Quantitative Data Analysis Overview

Correlation Analysis

Regression Analysis

Hypothesis Testing

Analysis of Variances (ANOVA)

Topic 4 Qualitative Data Analysis

Qualitative Data Analysis Overview

Install R Packages for Qualitative Data Analysis

Word Cloud Analysis

Text Analysis

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)

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
Make it into a 2-day course
Too much to digest in a day (Posted on 2/13/2018)
Might Recommend Review by Course Participant/Trainee
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2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Explain the rationale/application areas of each technique taught in class (Posted on 12/10/2017)
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
more visualisation (Posted on 11/17/2017)
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
sharing more use case and how to apply will help us to understand how to apply R in work (Posted on 6/5/2017)
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
Nil (Posted on 5/26/2017)

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