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  • R Statistics Essential Training

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

R Statistics Essential Training

Course Code: C182

146 Review(s) | Add Your Review

What's This Course About

Elevate your analytical prowess with our R Statistics Essential Training. We've meticulously structured this course to ensure a seamless learning progression. Start by acquainting yourself with the installation processes for both R and R Studio IDE. As you delve deeper, you'll unravel the intricacies of R data types, harness the power of R packages and datasets, and breathe life into data through visualization techniques.

Beyond these foundational skills, the course offers an in-depth exploration into the R programming language, enabling you to code with precision and confidence. Furthermore, you'll be equipped with the knowledge to employ statistical methods in R, allowing you to extract meaningful insights from vast datasets. Join us at Tertiary Courses and commence your transformative journey into the realm of R statistics.

Funding Options

No funding is available for this course.

For WSQ funding, please checkout the details at WSQ - R Fundamental and Statistical Analysis for Beginners

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 in R

What is R

Install R and RStudio IDE

Explore RStudio Interface

R Script

Comment

Topic 2. Data Types

Numbers

String

Vector

Matrix

Array

Data Frame

List

Factor

Topic 3. R Packages & Datasets

Import R Packages

Import R Data Sets

Import External Data

Export Data

Topic 4. Data Visualization

Scatter Plot

Boxplot

Bar chart

Pie chart

Histogram

Topic 5. R Programming

Control Structures

Loop

Break & Next

Function

Topic 6. Statistics Analysis with R

Descriptive Statistics

Correlation

Linear and Multiple Regression

Hypothesis Testing

Analysis of Variance (ANOVA)

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

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 (146)

Dr Alvin was very engaging during the session. 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
Dr Alvin was very engaging during the session. He displayed good knowledge of the topic and was very patient when teaching. He made the session very enjoyable. Would come back for more lessons. (Posted on 2/29/2024)
Dr Alvin is a very engaging and knowledgeable tutor 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
Dr Alvin is a very engaging and knowledgeable tutor who provided a great tutorial regarding Fundamentals in R. He also added his own personal touch to the lessons, and provided us with real-life examples and utility of R. (Posted on 2/29/2024)
Alvin is an engaging instructor that has a great breadth and depth of knowledge, 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
Alvin is an engaging instructor that has a great breadth and depth of knowledge, and he clearly demonstrated this during the course. He has helped me kickstart my journey in R and I was able to deepen my knowledge considerably despite it only being a 2-day course. (Posted on 2/29/2024)
Excellent trainer 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
Advertise the other higher level courses (Posted on 2/1/2024)
will recommend Review by Course Participant/Trainee
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. (Posted on 12/20/2023)

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