Statistical Analysis with R Commander

Topic 1: R Commander Basics

• Summarizing and cleansing data
• Recoding and computing new variables
• Subset data
• Analyzing data
• Dealing with outliers/ high correlation

Topic 2: Statistical Analysis

• t test
• Anova
• Bonferroni & Tukey tests 
• Chi Sq test
• McNemar's test

Topic 3: Correlation Analysis

• Barlett test
• Levene test
• Person test
• Spearman test

Topic 4: Non-Parametric Analaysis

• Welch test
• Mann whitney
• Wilcox
• Kruskall wallis
• Friedman

Topic 5: Regression Analysis

• Linear regression
• Logistic regression
• Hazard regression
• Kaplan-meier curve

Topic 6:  Clustering Analysis

• K Means Clustering
• Hierachical Clustering
• Principal Component Analysis

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.

• Data Scientists
• Data Analytsts
• Finance Analysts
• Marketers

Dr. Aanand Verma: Dr. Aanand Verma is a Full Stack Data Scientist who once had a torrid love affair with Physics. He has consulted and published in the area of Public Health, Electricity Markets, Telecom, BFSI, Advertising & Communication Strategies and Digital & Social Media Technologies. He has worked on assignments with international agencies such as International Monetary Fund, World Bank, Royal Netherland Embassy etc. besides MNCs like Tata Consultancy Services, Kie Square Consulting and several government organizations of national importance.

He regularly conducts general training programs in Python (Pandas, NumPy, SciPy, Matplotlib, Bokeh), R (dplyr, rstanarm, knitR, ggplot2), Data Visualization (Tableau, D3.js) and Machine Learnng (Reinforced Learning, Scikit Learn) and specialized training programs on Structural Equation Modeling and SAP Hana.

He holds a doctorate in Operations Research from Indian Institute of Management Ahmedabad and a post graduate in Physics from University of Mumbai. He has advanced training in mathematical programming including optimization, advanced multivariate data analysis, and simulation techniques. When he is not teaching or consulting he can be found meditating or heading for an adventurous trek.

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.