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HRDF Approved Training Provider in Malaysia - Modular Fast Track Skill-Based Trainings

R Programming and Statistics Training

R is a popular programming language for data analytics, statistical analysis and data visualisation. This R statistics essential course will show you how to 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.

Course Highlights:

  • Installing R and R Studio
  • Data Types in R such as data frame, vector, matrix, list and factor
  • Programming R
  • Statistical Analysis using R

Learning Outcomes:

  • LO1- Learners will be able to install R and R Studio IDE
  • LO2 - Learners will be able to understand and use R data types
  • LO3 - Learners will be able to understand and use R packages and datasets
  • LO4 - Learners will be able to perform data visualization in R
  • LO5 - Learners will be able to understand and code R programming language
  • L06 - Learners will be able to understand and use statistical methods in R

Certificate

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

 

HRDF SBL Claimable for Employers Registered with HRDF

HRDF claimable

Course Code: M273

Course Booking

MYR880.00

Course Date

Course Time

* Required Fields

Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.


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)


Post Course Quiz Assessment

Course Admin

Prerequisite

This course is for beginner. No programming or coding knowledge is required. All the programming and coding concepts will be introduced during the class. Basic statistics knowledge will be helpful

Software Requirement

Pls download and install the following software prior to the class

Who Should Attend

  • Data Scientists
  • Data Analysts
  • Marketeers

Trainers

Power BI TrainerSaranya Ravikumar, has Masters of Engineering in Computer Science and Engineering who worked as an Assistant Professor in a reputed Engineering College at India. She is a Dell EMC certified Data Analyst. With a passion for teaching, she has more than 4 years of experience as an Assistant professor in Engineering Colleges. Also, she has more than 2 years of experience in leveraging the technical concepts through effective lectures in order to make the listeners gain practical knowledge on the technical concepts of R, Python and Data Analytics using R. She has trained more than 100 students in R Technical skills which has an outcome of some students be placed in a leading MNC as Junior Analyst. She has received the best project supervisor award for guiding the students in Technovision’2018 at a reputed Engineering College. Moreover, she has worked on many Big Data Projects in the field of Plantation, Banking and Security including Multivariate Regression, Time series Forecasting and Classification.

Basic Tableau Trainer Ghazaleh Babanejad has received her Ph.D from University Putra Malaysia in Faculty of Computer ‎Science and Information Technology. She is working on recommender systems in the ‎ a field of skyline queries over Dynamic and Incomplete databases for her Ph.D. thesis. She is also working ‎ on the Data Science field as a trainer and Data Scientist. She worked on Machine Learning and Process ‎ Mining projects. She also has several international certificates in Practical Machine Learning (John ‎ Hopkins University) Mining Massive Datasets (Stanford University), Process Mining (Eindhoven ‎ University), Hadoop (University of San Diego), MongoDB for DBAs (MongoDB Inc) and some other ‎ certificates. She has more than 5 years of experience as a lecturer and database administrator.

R Statistics TrainerMostafa has more than 5 years’ experience in teaching mathematics and statistics. His main teaching interests are statistical topics such as descriptive analysis and basic data modeling, regression analysis, design of experiment, non-parametric methods, and statistical software such as SAS, R, SPSS, and Minitab. He has started computer programming using visual basics and C++ around 15 years ago, and he has more than 10 years’ experience in programming using R.

Tableau TrainerLee Cheong Loong is a manager with an EMBA – 21 years working experience indifference role/ Dept. (Sales, Logistic, IT, Online Store, Internal Trainer and Customer services), involved in multiple IT project (Server P2V upgrade, Network infra upgrade, and ERP system Deployment). He has switched career to Project management role, Big - data / Data scientist related project, with Professional Certification Big Data & Analytics, Professional Certificate in Tableau, & Pass the HRDF Certified Trainer Programme. He also involves in AI chatbot and application development to help small-medium practitioner (accounting industry).

SPSS  TrainerDr. Ummul Fahri Abdul Rauf has Ph.D. in Applied Statistics from RMIT University, Australia. Her research interests are applied statistics, multivariate analysis, statistical modeling, statistical inference and programming using R Software. As per her affiliation with National Defence University of Malaysia (NDUM) for 12 years, she is also experienced as principal investigator and has worked on a few research grants for parametric and non-parametric analysis, univariate and multivariate analysis using copulas in various areas in engineering, social science, and psychology. She has a strong fundamental knowledge of research methodology, extensive experience with Excel, SPSS, R and MINITAB in writing and presenting reports. At present, she is conducting a special training program in statistical programming including advanced multivariate data analysis using Copulas. Besides teaching and research, her additional duties involve assisting the Director of Quality Assurance and Data Management Centre at NDUM to coordinate and monitor implementation of Quality Management System (QMS) and conduct internal and external audits, to coordinate collection and verification of data for continual enhancement and liaise with relevant external agencies on academic quality compliance issues e.g. Ministry of Higher Education, Malaysian Qualification Agency. Dr. Ummul Fahri currently is the deputy director for Quality Assurance and Data Management Centre and has been holding the post for 4 years.

Customer Reviews (20)

Will Recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Provide lunch (Posted on 18/08/2019)
Might Recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Provide complimentary lunch if the course exceed half day. Trainer to give a real life example of when is the technique taught in class useful. (Posted on 26/11/2018)
Will Recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 23/11/2018)
Will Recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 23/11/2018)
So far is Good, look forward next class Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
will be great if the training schedule at the online portal is as per actual(confirmed) (Posted on 21/11/2018)
Will Recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 18/08/2018)
Will Recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 12/08/2018)
I am very satisfied with the course. Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Making computers available. (Posted on 08/07/2018)
Trainer was knowledgable and helpfulbut may be a bit tiring for one person to cover so much in one day. Maybe have it as 2 1/2 day sessions instead. Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
It would be good if more time was spent on each module, with regular exercises/ mini projects that participants can do on the spot or take -away to attempt at home (with answers to every alternate problem so that participants can continue learning on their own). It would also be nice if all the examples used was based on one data set instead of jumping around to different data sets as that makes it a little bit harder for someone new to R. Other data sets can be introduced in the later part, especially in the statistics portion. (Posted on 22/06/2018)
Might Recomemnd Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The time allotted for the course was too tight, perhaps can make it into 2 days or start earlier than 10am (Posted on 11/06/2018)
Might Recomemnd Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
R Programme and statistic (Posted on 11/06/2018)
Will Recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Duration of the course is short considering the good content that is being delivered. Two days course would be better. (Posted on 21/05/2018)
Might Recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
You might be good if we can have the learning material in both soft copy and hard copy (Posted on 27/03/2018)
Will Recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
It's a perfect course for beginners (Posted on 04/03/2018)
Will Recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Using the better projector (Posted on 01/06/2017)
Will Recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The course can be further improved by using dataset from one case study from the begining till the end of the course as this will give the clear picture of r in real application

Can arrange the course in sabah in future. (Posted on 09/05/2017)
Will Recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
nil (Posted on 21/10/2016)
Will Recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
very good in Teaching. will look forward for advanced R training (Posted on 21/10/2016)
Will Recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
I find myself quite overloaded near the end of the session, perhaps since I have no background in programming so there was "lag phase". Perhaps giving the softcopy of the materials the day before would help to prepare students mentally of how much mental work they need to exert on d-day itself.

1. I really appreciate that I could borrow the laptop from the training centre.
2. I found the trainer, Dr. Ravi, delivered the contents very well. His delivery was clear and he earned trust from students that he has the knowledge to train us. (Posted on 21/10/2016)
Will Recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
I learnt most when the trainer could address my question and showed me the solution to solving my problem i face at work (Posted on 21/10/2016)

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