MICRO-CREDENTIAL IN DATA VISUALIZATION USING R PROGRAMMING FOR BEGINNERS

About this Module

  • students enrolled
  • Approx. 20 hours to complete

What you will learn

R is a powerful, versatile and free statistical programming language, which has become increasingly popular among industrial and academic data analysis. These introduction course assume no previous coding experiences in R or any other programming language. This course will provide students with extensive skills of fast computing on how to organize computations to access, transform, explore, analyse data and produce results. The primary focus is on teaching the concepts of visualization.

What skills you will gain

Display practical skills in constructing data visualisation using statistical programming.

Total contents and assessments

14 videos, 7 Learning Activities

Module Details

CLUSTER : Science & Technology ( ST )
MODE/DURATION : Flexible
LENGTH : 21 days
EFFORT : 1
LEVEL : Beginner
LANGUAGE : English
CERTIFICATE : Yes
CPD POINT : 0
PRICE : Free

Associated Course (s) :
No Course

Join this module

 Syllabus

1. Draw scatter plot using base package
2. Draw scatter plot using ggplot2 package

1. Draw line chart using base package
2. Draw line chart using ggplot2 package

1. Draw mosaic plot using base package
2. Draw mosaic plot using ggplot2 package

1. Draw histogram using base package
2. Draw histogram using ggplot2 package

1. Draw density plot using base package
2. Draw density plot using ggplot2 package

1. Draw bar plot using base package
2. Draw bar plot using ggplot2 package

1. Draw box plot using base package
2. Draw box plot using ggplot2 package

Our Instructor

SURIYATI BINTI UJANG

 Course Instructor
UiTM Kampus Raub 4.3 (average sufo) instructor rating 14 course(s)

DR. SAHARANI BIN ABDUL RASHID

 Course Instructor
UiTM Kampus Raub 4.3 (average sufo) instructor rating 8 course(s)

DR. MOHAMMAD NASIR BIN ABDULLAH

 Course Instructor
UiTM Kampus Tapah 4.3 (average sufo) instructor rating 23 course(s)
Developed by
Universiti Teknologi MARA (UiTM)