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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 Info
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
HRDF Funding
Please refer to this video https://youtu.be/Kzpd-V1F9Xs
1- HRD Corp Grant Helper
How to submit grant applications for HRD Corp Claimable Courses
2- Employers are required to apply for the grant at least one week before training commences.
Employers must submit their applications with supporting documents, including invoices/quotations, trainer profiles, training schedule and course content.
3- First, Login to Employer’s e-TRIS account -https://etris.hrdcorp.gov.my
Second, Click Application
4- Click Grant on the left side under Applications
5- Click Apply Grant on the left side under Applications
6- Click Apply
7- Choose a Scheme Code and select HRD Corp Claimable Courses: Skim Bantuan Latihan Khas. Then, click Apply
8- Scheme Code represents all types of training that suit the requirements provided by HRD Corp. Below are the list of schemes offered by HRD Corp:
9- Select your Immediate Officer and click Next
10- Select a Training Provider, then click Next
11- Please select a training programme from the list, then key in all the required details and click Next
Select your desired training programme.
Give an explanation on why the participant is required to attend the training. E.g., related to their tasks/ career development, etc.
Explain the background and objective of this training.
Select a relevant focus area. For Employer-Specific Courses, select ‘Not Applicable’.
12- If the training programme is a micro-credential programme, you are required to complete these 3 fields. Save and click Next
Insert MiCAS Application number
13- Based on the nine (9) pillars listed below, HRD Corp Focus Area Courses are closely tied to support government initiatives towards nation building. As such, courses offered through the HRD Corp Focus Areas are designed to provide the workforce with skills required for current and future demands. Details of the focus areas are as follows:
14- Please select a Course Title and Type of Training
15- Select the correct type of training according to the actual type of training, or as mentioned in the training brochure:
16- Please key in the Training Location and click Next
17- Please select the Level of Certification and click Next
18- Please follow the instructions and key in trainee details
19- Click Add Batch, then click Save
20- Click Add Trainee Details
21- Please key in all the required details, then click Add
22- Click Add if there are more participants. Once done, click Save
23- Click Next
24- Please key in the course fees and allowance details, then click Save
25- Estimated cost includes the course fees/external trainer fees, allowances, and consumable training materials. Please comply with the HRD Corp Allowable Cost Matrix.
26- Select Upfront Payment to Training Provider and key in the percentage from 0% to 30%. Then, click Save and Next
27- Complete the declaration form and select a desired officer
28- Add all the required documents, then click Add Attachment. Then, click Save and Submit Application
29- Once the New Grant Application is successfully submitted, the Grant Officer will evaluate the application accordingly. The application may be queried if additional information is required.
The application status will be updated via the employer’s dashboard, email, and the e-TRiS inbox.
Job Roles
- Data Analyst
- Market Researcher
- Business Analyst
- Quality Assurance Specialist
- Social Science Researcher
- Graduate Student
- Economic Analyst
- Product Manager
- Human Resources Analyst
- Healthcare Data Specialist
- Educational Researcher
- Sports Statistician
- Financial Analyst
- Behavioral Scientist
- Environmental Data Specialist.
Trainers
Saranya Ravikumar: Saranya 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.
Ghazaleh Babanejad: 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.
Mostafa: Mostafa 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.
Lee Cheong Loong: Lee 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).
Dr. Ummul Fahri Abdul Rauf: Dr. 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 (39)
- Might Recommend Review by Course Participant/Trainee
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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)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 Recommend Review by Course Participant/Trainee
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. (Posted on 23/11/2018)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 Recommend Review by Course Participant/Trainee
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. (Posted on 23/11/2018)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 - So far is Good, look forward next class Review by Course Participant/Trainee
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will be great if the training schedule at the online portal is as per actual(confirmed) (Posted on 21/11/2018)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 Recommend Review by Course Participant/Trainee
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. (Posted on 19/08/2018)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 Recommend Review by Course Participant/Trainee
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. (Posted on 13/08/2018)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 am very satisfied with the course. Review by Course Participant/Trainee
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Making computers available. (Posted on 09/07/2018)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 - 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
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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 23/06/2018)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 - Might Recomemnd Review by Course Participant/Trainee
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The time allotted for the course was too tight, perhaps can make it into 2 days or start earlier than 10am (Posted on 12/06/2018)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 - Might Recomemnd Review by Course Participant/Trainee
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R Programme and statistic (Posted on 12/06/2018)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 Recommend Review by Course Participant/Trainee
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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)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 - Might Recommend Review by Course Participant/Trainee
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You might be good if we can have the learning material in both soft copy and hard copy (Posted on 27/03/2018)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 Recommend Review by Course Participant/Trainee
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It's a perfect course for beginners (Posted on 04/03/2018)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 Recommend Review by Course Participant/Trainee
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Using the better projector (Posted on 01/06/2017)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 Recommend Review by Course Participant/Trainee
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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 application1. 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
Can arrange the course in sabah in future. (Posted on 09/05/2017) - Will Recommend Review by Course Participant/Trainee
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nil (Posted on 21/10/2016)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 Recommend Review by Course Participant/Trainee
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very good in Teaching. will look forward for advanced R training (Posted on 21/10/2016)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 Recommend Review by Course Participant/Trainee
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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. 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
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
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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)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
