University of Canterbury - Basics of Statistical Inference and Modelling Using R
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Basics of Statistical Inference and Modelling Using R at edX Overview
Basics of Statistical Inference and Modelling Using R
at edX
Duration | 6 weeks |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Basics of Statistical Inference and Modelling Using R
Table of content
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- Curriculum
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Basics of Statistical Inference and Modelling Using R at edX Highlights
Basics of Statistical Inference and Modelling Using R
at edX
- Length: 6 Weeks
- Effort: 5-10 hours per week
- Price: FREE Add a Verified Certificate for $249 USD
- Institution UCx
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Basics of Statistical Inference and Modelling Using R at edX Course details
Basics of Statistical Inference and Modelling Using R
at edX
Skills you will learn
More about this course
- Basics of Statistical Inference and Modelling Using R is part one of the Statistical Analysis in R professional certificate.
- This course is directed at people with limited statistical background and no practical experience, who have to do data analysis, as well as those who are ?out of practice?. While very practice oriented, it aims to give the students the understanding of why the method works (theory), how to implement it (programming using R) and when to apply it (and where to look if the particular method is not applicable in the specific situation).
Basics of Statistical Inference and Modelling Using R at edX Curriculum
Basics of Statistical Inference and Modelling Using R
at edX
Syllabus
null
Basics of Statistical Inference and Modelling Using R at edX Faculty details
Basics of Statistical Inference and Modelling Using R
at edX
elena moltchanova
Designation : Professor of Statistics University : University of Canterbury
Basics of Statistical Inference and Modelling Using R at edX Entry Requirements
Basics of Statistical Inference and Modelling Using R
at edX
Eligibility criteria
- The course requires a good understanding of basic algebra, logarithms and exponential functions, the equation of a straight line, basic concepts of probability, continuous and discrete random variables, distributions, probability (density) functions, cumulative probability density functions, expectation and variance and basic sample statistics. If you have never used R before, it is also recommended to go through the chapters 1-7, and 9 of the R-manual found at https://cran.r-project.org/doc/manuals/r-release/R-intro.html
Conditional Offer
- Not mentioned
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