Colorado State University Global Undergraduate Specializations 6 courses
The specialization in Python and Data Analytics is designed for undergraduate students who want to learn data analytics using Python. This certificate program will leverage Python for four courses from beginning Python and statistical techniques, data wrangling and manipulation, machine learning, and algorithms for data science to more advanced techniques in Python using packages. Coursework will also include database development and querying using primarily SQL and Python as well. This program also includes effective data visualization practices and creating data visualization using popular business tools in addition to Python.
Courses
| Code | Course Title | Credits |
|---|---|---|
| MIS410 | Databases and SQL | 3 |
| MIS380 | Data Visualization I | 3 |
| MIS415 | Data Visualization II | 3 |
| MIS450 | Data Mining | 3 |
| MIS451 | Data Analysis I with Python | 3 |
| MIS475 | Applied Analytics | 3 |
Click a course code or title to read the full course description.
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.