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R Statistics Essential Training

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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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

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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.

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)

Mode of Training

Physical Classroom Training
Synchronised Teaching using ZOOM
Corporate Training at Company Premise

Course Date * Course Date

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Sponsorship

Self-Sponsored
Employer-Sponsored

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Name(s) on Certificate *

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

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.

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

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:

R
R Studio

Hardware: Windows and Mac Laptops

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

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.