Python for Health Data Science with Biopython
Course Duration: 2 weeks
Python for Health Data Science with Biopython
This short course provides participants with the necessary skills to utilize Python programming for health data science applications, with a focus on the Biopython module. Participants will learn the fundamentals of Python programming and explore its practical applications in analyzing and manipulating biological data. The course covers key topics such as data retrieval, sequence analysis, genome annotations, and visualization using Biopython. Through hands-on exercises and projects, participants will gain proficiency in using Python and Biopython for health data analysis.
Course Outline
- Introduction to Python Programming
- Introduction to Biopython
- Retrieving and Manipulating Biological Data
- Sequence Analysis with Biopython
- Genome Annotations and Analysis
- Phylogenetics and Evolutionary Analysis
- Data Visualization with Matplotlib and Biopython
- Case Studies and Practical Exercises
- Integration with Other Data Science Tools and Libraries
- Best Practices and Future Directions
Course Prerequisites
– Basic knowledge of Python programming or prior programming experience
– Familiarity with biological concepts and data formats is beneficial but not mandatory
Who Should Attend
– Health data scientists, bioinformaticians, and computational biologists
– Researchers and professionals working with biological or genomic data
– Students and professionals seeking to enhance their programming skills for health data analysis
Course Benefits
– Develop a strong foundation in Python programming for health data science applications
– Learn how to leverage the Biopython library for efficient biological data analysis
– Gain practical experience through hands-on exercises and real-world case studies
– Acquire skills to retrieve, manipulate, and analyze health-related biological data
– Expand your capabilities in health data science and advance your career prospects
