TIME ZONE – UK local time (GMT+0) – however all sessions will be recorded and made available allowing attendees from different time zones to follow a day behind with an additional 1/2 days support after the official course finish date (please email oliverhooker@prstatistics.com for full details or to discuss how we can accommodate you).
Course Overview:
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. 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. This two day course provides a general introduction to the Python environment, the Python language, and general purpose programming in Python. 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. 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. Note that in this course, we will not be covering numerical and scientific programming in Python directly. That is provided in a subsequent two-day course, for which the topics covered in this course are a necessary prerequisite.
Email oliverhooker@prstatistics.com with any questions
Introduction to Python and Programming in Python (PYIN02) This course will be delivered live
https://www.prstatistics.com/course/introduction-to-python-and-programming-in-python-pyin02/
28 - 29 April 2021
TIME ZONE – UK local time (GMT+0) – however all sessions will be recorded and made available allowing attendees from different time zones to follow a day behind with an additional 1/2 days support after the official course finish date (please email oliverhooker@prstatistics.com for full details or to discuss how we can accommodate you).
Course Overview:
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. 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. This two day course provides a general introduction to the Python environment, the Python language, and general purpose programming in Python. 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. 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. Note that in this course, we will not be covering numerical and scientific programming in Python directly. That is provided in a subsequent two-day course, for which the topics covered in this course are a necessary prerequisite.
Email oliverhooker@prstatistics.com with any questions
Upcoming courses
Introduction to Python and Programming in Python (PYIN02)
28 April 2021 - 29 April 2021
https://www.prstatistics.com/course/introduction-to-python-and-programming-in-python-pyin02/
Introduction to Scientific, Numerical, and Data Analysis Programming
in Python (PYSC02)
5 May 2021 - 6 May 2021
https://www.prstatistics.com/course/introduction-to-scientific-numerical-and-data-analysis-programming-in-python-pysc02/
Machine Learning and Deep Learning using Python (PYML02)
12 May 2021 - 13 May 2021
https://www.prstatistics.com/course/machine-learning-and-deep-learning-using-python-pyml02/
Species distribution modelling with Bayesian statistics in R (SDMB02)
17 May - 21 May 2021
https://www.prstatistics.com/course/species-distribution-modelling-with-bayesian-statistics-in-r-sdmb02/
Introduction to spatial analysis of ecological data using R (ISPE04)
18 May - 28 May 2021
https://www.prstatistics.com/course/introduction-to-spatial-analysis-of-ecological-data-using-r-ispe04/
Introduction/Fundamentals of Bayesian Data Analysis statistics using R (FBDA01)
19 May 2021 - 20 May 2021
https://www.prstatistics.com/course/fundamentals-of-bayesian-data-analysis-statistics-using-r-fbda01/
Landscape genetic data analysis using R (LNDG04)
24 May - 28 May 2021
https://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-lndg04/
Bayesian Approaches to Regression and Mixed Effects Models using R and
brms (BARM01)
26 May 2021 - 27 May 2021
https://www.prstatistics.com/course/bayesian-approaches-to-regression-and-mixed-effects-models-using-r-and-brms-barm01/
Introduction to Bayesian modelling with INLA (BMIN02)
31 May 2021 - 4 June 2021
https://www.prstatistics.com/course/introduction-to-bayesian-modelling-with-inla-bmin02/
Introduction to Stan for Bayesian Data Analysis (ISBD01)
2 June 2021 - 3 June 2021
https://www.prstatistics.com/course/introduction-to-stan-for-bayesian-data-analysis-isbd01/
Introduction to Machine Learning and Deep Learning using R (IMDL01)
9 June 2021 - 10 June 2021
https://www.prstatistics.com/course/introduction-to-machine-learning-and-deep-learning-using-r-imdl01/
Meta-analysis in ecology, evolution and environmental sciences (METR02)
28 June 2021 - 2 July 2021
https://www.prstatistics.com/course/meta-analysis-in-ecology-evolution-and-environmental-sciences-metr02/
Introduction to Multi’omics Data Analysis from Microbial Communities (MOMC01)
3 August 2021 - 5 August 2021
https://www.prstatistics.com/course/introduction-to-multiomics-data-analysis-from-microbial-communities-momc01/
Missing Data Analytics (MDAR01) This course will be delivered live
8th September 2021 - 10th September 2021
https://www.prstatistics.com/course/online-course-missing-data-analytics-mdar01-this-course-will-be-delivered-live/