Binghamton University 3 credits INFO
This course is designed for students with no prior programming experience who are interested in learning the fundamentals of Python programming and its applications in data mining. The course covers core Python concepts including data types, variables, control structures, functions, and file handling. Students will also be introduced to data mining techniques and tools used for understanding, exploring, and preparing data. Topics include exploratory data analysis, data visualization, data preparation, and an introduction to supervised and unsupervised learning algorithms using Python libraries. These techniques form an important foundation for modern machine learning and artificial intelligence applications. Prerequisites: None. Typically offered once per academic year. 3 credits.
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.