THE EXPERT COURSE TITLE “APPLICATIONS OF AI IN DATA ANALYSIS”
179 lượt xem - Ngày: 27/01/2026 14:13:29
Commencement date: 7:30 AM, January 6, 2026
To contribute to the implementation of Resolution No. 57-NQ/TW on breakthroughs in the development of science, technology, innovation, and national digital transformation - which includes tasks and solutions related to the development and strategic employment of high-quality human resources and talents to meet the demands of scientific, technological, and digital advancement, Phuong Nam Institute respectfully informs about the organization of the expert course "Applications of AI in Data Analysis", primarily conducted by Prof. Tuan V Nguyen, world’s top 0.05% of scholars in the specialties of osteoporosis, bone density, and bone mineral (according to ScholarGPS, 2025).
The main course objective is to equip participants with essential statistical methods for scientific data analysis. Participants will practice techniques for comparing differences between two groups of variables; Correlation analysis; Building and testing regression models; in particular, methods such as Meta-analysis, Propensity Score, Mendelian Randomization, and the applications of AI in data analysis.
I. COURSE OBJECTIVE
The main course objective is to equip participants with essential statistical methods for scientific data analysis.
II. COURSE PARTICIPANTS
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.
III. FACILITATORS
1. Prof Tuan V Nguyen
Prof. Tuan V Nguyen is a Leadership Fellow of the National Health and Medical Research Council and Distinguished Professor of Predictive Medicine of the University of Technology Sydney (UTS); He also holds an Adjunct Professorship at the University of New South Wales (Sydney, Australia). In addition, he is a distinguished authority in the fields of osteoporosis and genetics. Currently, Professor Nguyen is ranked among the top 0.05% of scholars worldwide in the specialties of osteoporosis, bone density, and bone mineral (according to ScholarGPS, 2025).
Prof. Nguyen has published over 350 peer-reviewed original publications, review articles, book chapters, and commentaries or editorials, largely from his current research interests. His work has been published in the highest impact journals in the field, notably the Journal of Bone and Mineral Research and the Journal of Clinical Endocrinology and Metabolism. A number of key papers are published in more general journals, including New England Journal of Medicine, Lancet, JAMA, BMJ, Nature, Nature Genetics, PNAS, eLife. Some papers are considered pioneering in the field and have received applauded commentaries. He also serves as a peer reviewer for more than 20 medical journals, including Nature, Lancet, BMJ, JAMA, New England Journal of Medicine, Annals of Internal Medicine; a consultant for global pharmaceutical corporations; and a PhD thesis examiner for universities in the United States, Finland, the Netherlands, France, the United Kingdom, Canada, and Australia…
Profile page of Prof. Tuan V Nguyen at UTS: Profile page
2. Dr. Thach S Tran
Dr. Thach S Tran is a Senior Research Officer at the Garvan Institute of Medical Research, with 20+ years of experience in experimental design and data analysis, including analysing large randomised controlled trials data, modelling complex longitudinal, time-series and correlated data, developing and validating prediction models, analysing linked health data and managing large and complex datasets. He is an author/co-author of 80 peer-reviewed original publications, 3 systematic reviews and 1 invited commentary in the top peer-reviewed journals, such as The New England Journal of Medicine, Lancet, Lancet Child Adolescent Health, JAMA, JAMA Network Open, PLoS Medicine, European Respiratory Journal, Journal of Bone and Mineral Research, Journal of Clinical Endocrinology and Metabolism, Clinical Chemistry, and Diabetes Care. He is a member of the Editorial Board of the J Bone Miner Res and the Statistical Reviewer Board of the J Clin Endocrinol Metab. He published more than 50 original papers within the last 5 years.
IV. TIME AND VENUE
1. Course schedule and format
- Commencement date: 7:30 AM, January 6, 2026 (Tuesday).
- Course length: 6 days.
- Learning format: In person at Phuong Nam Institute or online via Zoom.
- Course schedule: From January 6, 2026 to January 12, 2026 (break on January 9, 2026).
2. Venue
Phuong Nam Institute – 45 Dinh Tien Hoang Street, Saigon Ward, Ho Chi Minh City.
V. COURSE CONTENT
The course content comprises 21 lectures, as follows:
- Lecture 1: AI in Data Analysis
- Lecture 2: Introduction to R Programming Language
- Lecture 3: Introduction to RStudio and R Markdown
- Lecture 4: Between-group comparisons: Continuous variables
- Lecture 5: Between-group comparisons: Binary variables
- Lecture 6: Correlation Analysis
- Lecture 7: Simple Linear Regression Model
- Lecture 8: Linear Regression Model: Transformation
- Lecture 9: Polynomial Regression Model
- Lecture 10: Multiple Linear Regression Model
- Lecture 11: Concepts of Odds and Odds Ratio
- Lecture 12: Simple Logistic Regression Model
- Lecture 13: Multiple Logistic Regression Model
- Lecture 14: Introduction to Meta-analysis
- Lecture 15: Meta-analysis: Basic concept
- Lecture 16: Meta-analysis: Continuous variables
- Lecture 17: Meta-analysis: Binary variables
- Lecture 18: Propensity Score Analysis: Concept
- Lecture 19: Propensity Score Analysis: Application
- Lecture 20: Mendelian Randomization Analysis: Concept
- Lecture 21: Mendelian Randomization Analysis: Application
VI. TUITION FEE
1. Tuition fee and discounts
Tuition Fee (Package): 7,000,000 VND per participant.
Tuition fee discounts:
- Register and complete the payment before December 2, 2025: 10% discount.
- Register and complete the payment as a group of 5 or more participants: 5% discount.
***Former participants who have previously attended courses conducted by Prof. Tuan V Nguyen and organized by Phuong Nam Institute are eligible for a 10% discount, plus an additional 5% discount if the tuition fee is paid before December 2, 2025. (This offer cannot be combined with the two discounts mentioned above.)
2. 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 – AIPTDL
*** Course registration deadline: December 23, 2025
