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Advanced R Data Analysis Training

Advanced R Data Analysis Training

11 Review(s) | Add Your Review

Dive deep into the world of R data analysis with our comprehensive training program. This course prioritizes hands-on learning and provides you with advanced knowledge of the tidyverse data wrangling packages. With a focus on both quantitative and qualitative data analysis, you'll gain a versatile skill set that's essential for a range of industries.

Furthermore, we emphasize the power of efficient data piping, ensuring you can manage and manipulate data with ease. Whether you're looking to upgrade your existing R skills or transition into a data-focused role, this course will provide the expertise you need to excel. Join us at Tertiary Courses and take your data analysis prowess to the next level.

Certificate

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

Funding and Grant

HRD Corp Claimable Course for Employers Registered with HRD Corp

HRDF claimable

Course Code: M294

Course Booking

MYR1,000.00

Mode of Training *

Physical Classroom Training
Synchronised Teaching using ZOOM
On-Site Training (5 pax and above)

Course Date * Course Date

Course Time * Course Time: No. of Participants

Sponsorship

Self-Sponsored
Employer-Sponsored

Name(s) on Certificate *

NRIC (Last 3 Digits and Alphabet)

Additional Message or Emails for Course Notification

* Required Fields

Post-Course Support

We provide free consultation related to the subject matter after the course. Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you asap.

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 Data Preparation and Transformation

Overview of Data Analysis of Research Data
Install R Data Analysis Packages - Tidyverse and ggplot2
Import and Export Dataset
Filter and Slice Data
Clean Data
Join Data
Transform Data
Aggregate Data
Pipe Data

Topic 2 Data Summary

Categorical vs Continuous Data
Quantitative vs Qualitative Data
Descriptive Statistics of Data
Summarize Data
Basic Plots and Tables

Topic 3 Quantitative Data Analysis

Quantitative Data Analysis Overview
Correlation Analysis
Regression Analysis
Hypothesis Testing
Analysis of Variances (ANOVA)

Topic 4 Qualitative Data Analysis

Qualitative Data Analysis Overview
Install R Packages for Qualitative Data Analysis
Word Cloud Analysis
Text Analysis

Course Info

Prerequisite:

This is an intermediate course. the following knowledge is assumed

R Programming

Software Requirement

Pls download and install the following software prior to the class

R https://cran.r-project.org/
R Studio https://www.rstudio.com/products/rstudio/download/

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 Scientists
Data Analysts
Marketeers

Trainers

Dr. Ummul Fahri Abdul Rauf: Dr. Ummul Fahri Abdul Rauf has PhD in Applied Statistics from RMIT University, Australia. Her research interests are applied statistics, multivariate analysis, statistical modelling, 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.

Lee Cheong Loong: Lee Cheong Loong, Manager with 23 years working experience in multiple role and department, He completed HRD Corp Train the Trainer programme, HRD Corp Accredited Trainer, Microsoft Certified Trainer and CPFA Citizen Data scientist Trainer programme. with Professional certificate in Big Data & Analytics, Microsoft Office Specialist -Excel 2016 and Tableau Desktop Specialist. He also deliver training for R & Python programming, Excel Dashboard for Business analysis, Data Visualization with Tableau, and Microsoft PowerBI, and Citizen Data Scientist (OpenCertHub).

Nero: Nero is dean of Penang School of AI, which is AI learning and sharing community in Northern Malaysia. He is Msc in Computer Imaging in Universiti Sains Malaysia. His research is mainly focusing in Video Analytic and Multiple object tracking. At the same time, he is developing computer vision application in WyseTime, a tech-startup company focus on video analytic application using deep learning technology.

Customer Reviews (11)

Course was very informative and interesting 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 better if it's a face to face session. However, it is understandable as the staff already explained the reason why it's conducted via online. Overall, everything is good.

Course was very informative and interesting, it gave me insight and answered some of my doubts. The trainer, Mr Lee Cheon Loong was really thorough in teaching & helpful in providing additional information which are absolutely beneficial for my current work/research. (Posted on 01/09/2022)

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

Abit overwhelmed to have it as full day course. Might want to consider to have this as 2 days course (Posted on 17/06/2022)

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

. (Posted on 18/01/2020)

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 14/12/2019)