R for Biomedical Sciences

1 unit

The course delves into the essential tools of Python programming within the context of biomedical informatics, biostatistics, and data science. This course emphasizes foundational programming skills in Python, crucial for data analysis in biomedical sciences. Participants will learn to set up and utilize the Jupyter environment for Python programming. The curriculum covers fundamental programming concepts, debugging techniques, and data manipulation using Pandas in Python. Practical sessions include working with diverse data formats such as CSV, JSON, and Excel, and handling data operations like data selection, filtering, grouping, and summarizing. By the end of the course, participants will be proficient in manipulating, analyzing, and managing, preparing you for more advanced studies or professional applications in biomedical informatics, biostatistics, and data analysis.