Nonlinear regression using generalized additive models (GAMR). Introduction to mixed models using r and rstudio (IMMR).Introduction to generalised linear models using r and rstudio (IGLM).Introduction To Statistics Using R And Rstudio (IRRS03).Free 1 day intro to r and r studio (FIRR).Senior Lecturer, Psychology Department, Nottingham Trent University, England That is provided in a subsequent two-day course, for which the topics covered in this course are a necessary prerequisite. Note that in this course, we will not be covering numerical and scientific programming in Python directly. We then provide a comprehensive introduction to programming in Python, covering all the following major topics: data types and data container types, conditionals, iterations, functional programming, object oriented programming, modules, packages, and imports. We cover how to install and set up a Python computing environment, describing how to set virtual environments, how to use Python package installers, and overview some Python integrated development environments (IDE) and Python Jupyter notebooks. This two day course provides a general introduction to the Python environment, the Python language, and general purpose programming in Python. In order to use Python confidently and competently for these applications, it is necessary to have a solid foundation in the fundamentals of general purpose Python. Python is one of the most widely used and highly valued programming languages in the world, and is especially widely used in data science, machine learning, and in other scientific computing applications.
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