University at Buffalo 3 credits Geology
A hands-on introduction to basics of the modern data science stack used across research and industry for hydrology and climate research. We will take a project-based approach, learning software packages and best practices while building our own analysis for a real-world problem. Major topics covered will include Python Programming Language for scientific computing, collaborative open-source development, major data repositories and how to interact with them, introduction to hydrologic modeling, and the basics of visualization. No prior coding experience is required. Prerequisite: ERT 312 or Permission of Instructor.
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.