University of Colorado Boulder - Statistical Modeling for Data Science Applications Specialization
- Offered byCoursera
- Public/Government Institute
Statistical Modeling for Data Science Applications Specialization at Coursera Overview
Statistical Modeling for Data Science Applications Specialization
at Coursera
Duration | 4 months |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Statistical Modeling for Data Science Applications Specialization
Table of content
- Overview
- Highlights
- Course Details
- Curriculum
Statistical Modeling for Data Science Applications Specialization at Coursera Highlights
Statistical Modeling for Data Science Applications Specialization
at Coursera
- Earn a certificate upon completion from Coursera
- This specialization can be taken for academic credit as part of CU Boulder's Master of Science in Data Science (MS-DS) degree offered on the Coursera platform
Statistical Modeling for Data Science Applications Specialization at Coursera Course details
Statistical Modeling for Data Science Applications Specialization
at Coursera
Skills you will learn
More about this course
- Well crafted statistical models allow data scientists to draw conclusions about the world from the limited information present in their data
- In this three credit sequence, learners will add some intermediate and advanced statistical modeling techniques to their data science toolkit
- In particular, learners will become proficient in the theory and application of linear regression analysis; ANOVA and experimental design; and generalized linear and additive models
- Emphasis will be placed on analyzing real data using the R programming language
- The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder's departments of Applied Mathematics, Computer Science, Information Science, and others
Statistical Modeling for Data Science Applications Specialization at Coursera Curriculum
Statistical Modeling for Data Science Applications Specialization
at Coursera
Modern Regression Analysis in R
ANOVA and Experimental Design
Generalized Linear Models and Nonparametric Regression
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