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Building Statistical and Mathematical Models with R
9 Courses
21 Hours
Skill IQ
This skill will explore advanced mathematical and statistical models and their implementation in the R language. These modeling approaches are relevant to machine learning and in categorizing algorithms.
Content in this path
Beginner
Understand the Conceptual framework of Statistical and Mathematical Models.
Intermediate
Implement Dimension Analysis, Differential Equations, Linear Algebra and Mathematical MASS models using R.
Advanced
Learn how to create statistical summaries and implement Monte Carlo Method using R.
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What You'll Learn
- Implementation of Numerical Methods with R
- Understanding Linear Algebra implementation with R
- Applying Mathematical mass balance Models( Integration, steady state, least square)
- Applying Differential equations problems
- Build Linear inverse models with R
Prerequisites
- Basic Mathematics
- Basic Statistics
- R Programming Fundamentals
- R Functions
Related topics
- Statistics
- Machine learning
- Data Science
- Algorithms
- R
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