THE EXPERT COURSE “DATA ANALYSIS USING R”
Commencement date: May 10, 2025
Phuong Nam Institute respectfully informs about the organization of the expert course “Data Analysis using R”, primarily conducted by Prof. Tuan V Nguyen, one of the world’s top 1% of experts in the field of Medicine.
1. Course objectives
The main objective of the course is to equip participants with important statistical methods for scientific data analysis. Participants will practice techniques in descriptive analysis, diagnostic analysis, and particularly the application of AI and ChatGPT in data analysis.
2. Course participants
This course is designed for postgraduate students, PhD students, lecturers, scientists, research groups,... who wish to conduct research and publish in international journals in various fields.
The the course participants are required to have knowledge of the experimental research process and basic statistics (such as mean, median, standard deviation), but no prior knowledge of R is necessary.
3. Facilitators
1. Prof. Tuan V Nguyen (Principal Lecturer)
Prof. Tuan V Nguyen is a Distinguished Professor at the University of Technology Sydney (Australia), Director of the Centre for Health Technologies at the University of Technology Sydney, and the first Vietnamese to become a member of the Australian Academy of Health and Medical Sciences. Prof. Nguyen is one of the few Vietnamese experts abroad ranked among the top 1% of global experts, with over 300 WoS (ISI) publications and numerous articles published in prestigious international journals such as Nature, Science, Lancet, New England Journal of Medicine, JAMA, etc.
Homepage of Prof. Tuan V Nguyen at UTS: link
2. Dr. Thach S Tran
Dr. Thach S Tran is a lecturer at the University of Technology Sydney (Australia), with over 15 years of experience in research design and data analysis. He has published 68 peer-reviewed original publications and 3 systematic reviews in the top peer-reviewed journals such as The N Engl J Med, Lancet, Lancet Child & Adolescent Health, JAMA, JAMA Netw Open, PLoS Med, Eur Respir J, J Bone Miner Res, J Clin Endocrinol Metab, Clin Chem, and Diabetes Care. Within the last 5 years, he published 45 original papers and 1 Cochrane review.
4. Time and Venue
1. Time:
- Commencement date: 07:30 AM, May 10, 2025 (Saturday)
- Course length: 6 days (from May 10, 2025 to May 15, 2025
- Main learning format: In-person; online support available for those in need.
- Class schedule:
- Morning : 8:00 AM - 11:30 AM
- Afternoon : 1:00 PM - 5:00 PM
2. Expected Venue:
Phuong Nam Institute of Social Resource Development
45 Dinh Tien Hoang Street, Saigon Ward, Ho Chi Minh City, Vietnam
5. Course content
The content consists of 21 lectures.
- Day 1: Data and R
- Day 2: Principles of Data Analysis
- Day 3: Descriptive Analysis
- Day 4: Relationship Analysis
- Day 5: Linear Regression Model
- Day 6: Logistic Regression Model
6. Tuition fee
1. Tuition fee: 7,000,000 VND per participant (7 million per participant), the tuition fee includes support services related to the course, souvenirs, and a certificate of completion,..
2. Tuition fee discounts: Available for participants meeting one or both of the following conditions:
- Register and complete the payment before April 10, 2025: 7% discount.
- Register and complete the payment as a group of 5 or more participants: 5% discount.
3. Payment methods: Cash or bank transfer to the following account:
Account name: VIEN PHAT TRIEN NGUON LUC XA HOI PHUONG NAM
Account number: 2242 6789 – Orient Commercial Joint Stock Bank (OCB), Tan Thuan Branch
Payment description: Participant’s name – Phone number – PPPTDLVR
7. Registration
Register online here
Or register in person at:
Phuong Nam Institute of Social Resource Development
45 Dinh Tien Hoang, Saigon Ward, Ho Chi Minh City, Vietnam
Contact: (+84) 28 2242 6789 – (+84) 949 761 636 – (+84) 912 114 511.
*** Registration and Payment deadline: before April 26, 2025.
8. Registration Contact
For more information please contact:
- Phone: (+84) 28 2242 6789 – (+84) 949 761 636 (Ms. Vy) – (+84) 912 114 511.
- Email: vanphong@vienphuongnam.com.vn