University at Buffalo 3 credits Biomedical Sciences
In this course, first-year Ph.D. students will learn basic to intermediate level programming in Python, how to visualize and analyze data, as well as apply knowledge of statistics and programming to real biomedical problems. In the first half of the semester students will be introduced to the fundamentals of descriptive and inferential statistics. The second half of the semester is organized into 4 modules in which students will have an opportunity to work with data from four different biomedical domain problems. Data analysis will be performed by course participants using Jupyter Notebooks.
Our subject experts help with essays, research papers, case studies, discussion posts, and capstone projects for these programs β written from scratch to your course requirements.
Program and course information is reproduced from each university's published academic catalog for informational purposes and may change. Always confirm current requirements with your university. We are an independent academic support service and are not affiliated with or endorsed by the universities listed.
Expert guides on essay writing, citation styles, study skills, and academic success.
View All Articles
Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
Learn how to choose a research topic you can actually research. Discover how to narrow broad ideas, find reliable sources, and develop a focused research question.
Learn how to cite sources in a research paper using APA, MLA, and Chicago styles, with in-text citation examples and reference-list tips.