HRDF Course - R Programming and Statistics Training
Training by
Tertiary Infotech
Inquire Now
On-Site
/ Training
Details
R is the language of big data—a statistical programming language that helps describe, mine, and test relationships between large amounts of data. The trainer will use R to model statistical relationships using graphs, calculations, tests, and other analysis
tools. Learn how to enter and modify data; create charts, scatter plots, and histograms; examine outliers; calculate correlations; and compute regressions, bivariate associations, and statistics for three or more variables.
Topics include:
- Installing R on your computer
- Using the built-in datasets
- Importing data
- Creating bar and pie charts for categorical variables
- Creating histograms and box plots for quantitative variables
- Calculating frequencies and descriptives
- Transforming variables
- Coding missing data
- Analyzing by subgroups
- Creating charts for associations
- Calculating correlations
- Creating charts and statistics for three or more variables
- Creating crosstabs for categorical variables
HRDF SBL Claimable for Employers Registered with HRDF
For more information regarding this course please visit:
https://www.tertiarycourses.com.my/r-statistics-essential-training-in-malaysia.html
For more information regarding this course please visit:
https://www.tertiarycourses.com.my/r-statistics-essential-training-in-malaysia.html
Outline
Module 1. Getting Started
- What is R
- Install R and RStudio
- Explore RStudio Interface
- Variables
Module 2. Data Types
- Numbers
- Text
- Vector
- Matrix
- Array
- Data Frame
- Factor
- List
Module 3. Packages & Data Sets
- Packages
- Data Sets
Module 4. File Input/Output
- Read data from file
- Read data from web
- Write data to file
Module 5. Charts
- Scatter Plot
- Boxplot
- Bar chart
- Pie chart
- Histogram
Module 6. Control Structures
- Conditional
- Loop
- Break & Next
- Operators
Module 7: Function
- Function Syntax
- Function Example
- Function With Default Arguments
Module 8. Statistical Application of R
- Basic Statistics
- Correlation
- Linear Regression
- Multiple Regression
- 2 Sample T-Test
- 1 Sample T-Test
- ANOVA
- Clustering
Speaker/s
Dr. Zahra Nazemi has PhD in mathematical statistics from Universiti Putra Malaysia. Her research interests are applied statistics, medical statistics, Bayesian statistics, statistical inference and Software R. She has worked as lecturer in different
universities more than 4 years. She also consulted and worked on assignments for parametric and non-parametric analysis, univariate and multivariate regression analysis in various areas such as medical, economics and psychology. Her other skills are knowledge
of research methodology, extensive experience with SPSS, AMOS, R and MINITAB and writing and presenting reports. Moreover, she conducted special training program in mathematical programming including optimization, advanced multivariate data analysis, and simulation
techniques
Reviews
Be the first to write a review about this course.
Write a Review
Tertiary Courses Malaysia is a HRDF Approved Training Provider in Malaysia. We offers wide range of classroom instructor-led technical training courses for working professionals and executives in Malaysia.
All our courses and trainings are funded by HRDF (Human Resources Development Fund Malaysia). Our courses include Infocomm, Digital Media, Robotics, Semiconductor,Telecommunication, Life Science, Horticulture Industries , and Business Administration . Below are some of our popular courses
All our courses and trainings are funded by HRDF (Human Resources Development Fund Malaysia). Our courses include Infocomm, Digital Media, Robotics, Semiconductor,Telecommunication, Life Science, Horticulture Industries , and Business Administration . Below are some of our popular courses
- Python Programming
- R Programming
- Tableau
- Machine Learning
- Raspberry Pi
- Arduino
- 3D Printing
- iOS Apps Development
- Android Apps Development
- Magento eCommerce
- Wordpress
- Joomla
- Search Engine Optimizatoin
- Web Design
- Google Analytics
- Facebook Marketing