R Programming and Statistics Training

Multiday, 04/01/2025 - 15/01/2025

Venue

Tertiary Courses Malaysia G-3A-02, Suite Pejabat Korporat, KL Gateway, No 2, Jalan kerinchi, Gerbang kernichi Lestari, 59200

Entrance Fee

MYR1,000.00

Category

Business & Professional

Event Type

Class, Course, Training or Workshop

Share

Schedule

DateTime
04/01/20259:30 AM - 5:30 PM
15/01/20259:30 AM - 5:30 PM
R Programming and Statistics Training

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.

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Funding and Grant

HRD Corp Claimable Course for Employers Registered with HRD Corp

HRDF claimable

Course Code: M273

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)