R Beginner 2-day
current icon CURRENT
camput icon On Campus
Start Anytime
Industry Recognised
Workplace Simulation
Contact Us
DOWNLOAD COURSE BROCHURE
CERTIFICATES
FLEXIBLE DELIVERY
LIVE SUPPORT
INTERNSHIP AVAILABLE

ABOUT THE COURSE

This course provides introductory knowledge of data analysis and visualisation using R. It is perfect for those who want to sharpen employability in areas such as data science, data analysis, and data visualisation. It also suits those non-coders, who want to have an introduction to programming concepts without dealing with “hard-to-grasp” interfaces.
  • Activity-driven
  • Step by step and hands-on
The course will be delivered in Mandarin (中文授课).

UNITS

*Students will be provided with an installation guidance of R and R studio.

Day 1 Data Analysis Using R

  • Topic 1 Knowing Your Data
    • Basic Stats: Mean, Median, Mode, etc
    • Basic Graphs: Histogram, Box Plots, Scatter plots, etc
  • Topic 2 Commonly Used Data Types in R
    • Vectors, Matrices, Factors, Data Frame, List, etc
    • Hands-on Examples
  • Topic 3 The Basic Data Manipulation That You Must Know
    • Import/Export
    • Rename
    • Subset and Merge
    • Missing Values and NA
  • Topic 4 Learn to Code
    • If-else Statement
    • For loop and  While loop
    • Lapply and Sapply
    • Plotting using Base Package
  • Topic 5 Case Studies  

Day 2 Shine Yourself with Data Visualization

  • Topic 1 Recap on Data Manipulation with Examples
  • Topic 2 Why is ggplot2 Fantastic?
    • Comparison Between ggplot2 and Base Packages
    • What can ggplot2 do?
  • Topic 3 Basic Graphing Activities
    • Line Plots
    • Box Plots
    • Pie Charts
    • Histogram
    • Scatter Plots
  • Topic 4 How Can Your Graphs Standout
    • Customisation of Color, Shape, Size, Label, Legend, Axes, Themes etc
    • Magic Package dplyr
    • Multi-plotting
  • Topic 5 Case Studies

UPON COMPLETION

This course is eligible for CPD hours. Upon successful completion of all the required units of this course, students will receive a certificate of completion.

CAREER OPPORTUNITIES

  • Data Analyst
  • Business Analyst
  • Data Scientist

DURATION

2 days
* Please contact us for the timetable

ENTRY REQUIREMENTS

  • There are no formal education entry requirements.

EQUIPMENT NEEDED

  • Students are welcome to bring their own laptop with R and R studio installed. Otherwise, the computers will be provided at the campus.

OTHER RELEVANT COURSES/PATHWAY

FINANCE OPTIONS

FINANCE OPTIONS

Fees must be paid within 5 working days of receiving the confirmation of enrolment and invoice for the enrolment fee.

Seed Training Group may cancel an enrolment or discontinue training if fees are not paid as required.

Both direct deposit and credit card are accepted.

*Please refer to the Student Information Handbook for further details regarding Fees & Refund Policy and Procedure.

TESTIMONIALS
PARTNERSHIP & COLLABORATORS
Call Me Back