Data Science Foundations Specialization: Statistical Inference
This program is designed to give students a solid foundation in probability theory in order to prepare them for a more in-depth study of statistics. It will also introduce the learner to the fundamentals of statistics and statistical theory, as well as the skills necessary to perform basic statistical analysis of a data set using the R programming language.
This specialization is part of CU Boulder's Master of Science in Data Science (MS-DS) degree, which is available on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from the Applied Mathematics, Computer Science, Information Science, and other departments at CU Boulder. The MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics, as it is based on performance rather than application.
This course offers:
- Shareable certificate: Get a Certificate when you complete
- 100% online courses
- Flexible schedule: Set and stick to flexible deadlines.
- Intermediate level: Sequence in calculus up through Calculus II (preferably multivariate calculus) and some programming experience in R.
- Approximately 4 months to complete: Recommended pace of 7 hours/week
- Subtitles: English
Course ratings: 4.1/5
Enroll here: https://www.coursera.org/specializations/statistical-inference-for-data-science-applications
