Precision Medicine Toolkit for Healthcare Analytics (Synchronous e-Learning)

Training Provider: NATIONAL UNIVERSITY OF SINGAPORE
Course Reference: TGS-2025054578
S$630
Original: S$2,100
Save S$1,470

About This Course

This short course is designed to empower participants with the skills necessary to advance precision medicine through targeted programming and analytics. With a focus on real-world applications, participants will explore how data-driven techniques enhance personalized healthcare solutions. Through hands-on experience, learners will discover how to effectively utilize programming tools and analytical methods to interpret and manage biomedical data, ultimately contributing to more precise and individualized patient care strategies.

Fundamentals in precision medicine programming

a. Programming concepts with Python

b. Data structure and algorithms

c. Data analysis and visualization with Python

Precision analytics

a. Fundamentals of R-programming

b. Data manipulation

c. Biostatistics

Rapid automation in biomedicine informatics

a. Shell scripting in Linux

b. Text processing and data manipulation

c. System and software management

d. Automation with bash scripting

This course provides practical skills and knowledge, essential for those looking to apply programming and analytics in the field of precision medicine.

Applicants must hold a Bachelor’s degree or be in the final stages of completing one. Candidates with alternative qualifications and relevant experience may also be considered on a case-by-case basis, pending approval from the school.

There are 4 hours of independent work to be completed outside of course hours, which count toward assessment.

What You'll Learn

By the end of this course, learners will be able to:

a. Leverage Python- and R-programming to extract, analyse, and visualize complex biomedical data, enabling evidence-based decision-making in Precision Medicine.

b. Develop proficiency in essential bioinformatics skills to navigate and interpret large-scale biomedical datasets in personalized healthcare.

c. Cultivate competence to design and implement novel algorithms and workflows to drive Precision Medicine applications.

Entry Requirements

General Degree

Course Details

Duration 14 hours
Language English
Training Commitment Not specified
Total Enrolled 3 students
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