Course Overview:
In this free one day course, we provide a comprehensive introduction to R and how it can be used for data science and statistics. We begin by providing a thorough introduction to RStudio, which is the most popular and powerful interfaces for using R. We then introduce all the fundamentals of the R language and R environment: variables and assignment, data structures, operators, functions, scripts, packages, projects, etc.
IF YOU ARE IN A POSITION TO CONTRIBUTE TOWARDS YOUR PLACE IT WOULD BE APPRECIATED SO WE CAN USE ANY REVENUE TO FUND OTHER FREE COURSES – THERE IS THE OPTION TO PURCHASE A TICKET FOR £20.00
WE RECOMMEND ORGANISING A SAMALL GROUP IF YOU HAVE COLLEAGUES WHO ALSO WANT TO ATTEND, THIS WAY WE CAN MAXIMISE HOW MANY PEOPLE CAN ACCESS THE COURSE
THIS IS A FREE INTRODUCTORY COURSE – LOOK OUT FOR COURSES WITH THE SAME COURSE IMAGE TO FIND MORE PAID COURSES IN THIS SERIES
Topic 1: The What and Why of R. We’ll start by briefly explaining what R is, what is used for, and why is has become so popular.
Topic 2: Guided tour of RStudio. RStudio is the most widely used interface to R. We will provide a tour of all its parts and features and how to use it effectively.
Topic 3: First steps in R. Now, we cover all the fundamentals of R and the R environment. These include variables and assignment, data structures such as vectors, data frames, lists, etc, operations on data structures, functions, scripts, installing and loading packages, using RStudio projects, reading in data, etc. This topic will be detailed so that everyone obtains a solid grasp on these fundamentals, which makes all subsequent learning much easier.
Other upcoming courses
Species Distribution Modeling using R (SDMR04)
www.prstatistics.com/course/species-distribution-modeling-using-r-sdmr04/
21 September 2021 - 30 September 2021
Multivariate analysis of ecological communities in R with the VEGAN package (VGNR03)
www.prstatistics.com/course/multivariate-analysis-of-ecological-communities-in-r-with-the-vegan-package-vgnr03/
4 October 2021 - 8 October
Introduction to Data Wrangling and Data Visualization using R (DWDV01)
www.prstatistics.com/course/introduction-to-data-wrangling-and-data-visualization-using-r-dwdv01/
4 October 2021 - 8 October 2021
Species distribution modelling with Bayesian statistics in R (SDMB03)
www.prstatistics.com/course/species-distribution-modelling-with-bayesian-statistics-in-r-sdmb03/
6 December 2021 - 10 December 2021
FREE 1 DAY INTRO TO R AND R STUDIO (FIRR01)
20 October 2021
https://www.prstatistics.com/course/free-1-day-intro-to-r-and-r-studio-firr01/
Course Overview:
In this free one day course, we provide a comprehensive introduction to R and how it can be used for data science and statistics. We begin by providing a thorough introduction to RStudio, which is the most popular and powerful interfaces for using R. We then introduce all the fundamentals of the R language and R environment: variables and assignment, data structures, operators, functions, scripts, packages, projects, etc.
IF YOU ARE IN A POSITION TO CONTRIBUTE TOWARDS YOUR PLACE IT WOULD BE APPRECIATED SO WE CAN USE ANY REVENUE TO FUND OTHER FREE COURSES – THERE IS THE OPTION TO PURCHASE A TICKET FOR £20.00
WE RECOMMEND ORGANISING A SAMALL GROUP IF YOU HAVE COLLEAGUES WHO ALSO WANT TO ATTEND, THIS WAY WE CAN MAXIMISE HOW MANY PEOPLE CAN ACCESS THE COURSE
THIS IS A FREE INTRODUCTORY COURSE – LOOK OUT FOR COURSES WITH THE SAME COURSE IMAGE TO FIND MORE PAID COURSES IN THIS SERIES
Topic 1: The What and Why of R. We’ll start by briefly explaining what R is, what is used for, and why is has become so popular.
Topic 2: Guided tour of RStudio. RStudio is the most widely used interface to R. We will provide a tour of all its parts and features and how to use it effectively.
Topic 3: First steps in R. Now, we cover all the fundamentals of R and the R environment. These include variables and assignment, data structures such as vectors, data frames, lists, etc, operations on data structures, functions, scripts, installing and loading packages, using RStudio projects, reading in data, etc. This topic will be detailed so that everyone obtains a solid grasp on these fundamentals, which makes all subsequent learning much easier.
Other upcoming courses
Species Distribution Modeling using R (SDMR04)
www.prstatistics.com/course/species-distribution-modeling-using-r-sdmr04/
21 September 2021 - 30 September 2021
Introduction to eco-phylogenetics and comparative analyses using R (ECPH01) This course will be delivered live
https://www.prstatistics.com/course/introduction-to-eco-phylogenetics-and-comparative-analyses-using-r-ecph01/
22 September 2021 - 28 September 2021
Multivariate analysis of ecological communities in R with the VEGAN package (VGNR03)
www.prstatistics.com/course/multivariate-analysis-of-ecological-communities-in-r-with-the-vegan-package-vgnr03/
4 October 2021 - 8 October
Introduction to Data Wrangling and Data Visualization using R (DWDV01)
www.prstatistics.com/course/introduction-to-data-wrangling-and-data-visualization-using-r-dwdv01/
4 October 2021 - 8 October 2021
Introduction to Bayesian modelling with INLA (BMIN02)
https://www.prstatistics.com/course/introduction-to-bayesian-modelling-with-inla-bmin02/
4 October 2021 - 8 October 2021
Landscape genetic data analysis using R (LNDG05)
https://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-lndg05/
18 October 2021 - 27 October 2021
FREE 1 DAY INTRO TO R AND R STUDIO (FIRR01)
https://www.prstatistics.com/course/free-1-day-intro-to-r-and-r-studio-firr01/
20 October 2021
Introduction to generalised linear models using R and Rstudio (IGLM04)
https://www.prstatistics.com/course/introduction-to-generalised-linear-models-using-r-and-rstudio-iglm04/
3 November 2021 - 4 November 2021
Introduction to mixed models using R and Rstudio (IMMR05)
https://www.prstatistics.com/course/introduction-to-mixed-models-using-r-and-rstudio-immr05/
10 November 2021 - 11 November 2021
Introduction to Machine Learning and Deep Learning using R (IMDL02)
https://www.prstatistics.com/course/introduction-to-machine-learning-and-deep-learning-using-r-imdl02/
17 November 2021 - 18 November 2021
Model selection and model simplification (MSMS02)
https://www.prstatistics.com/course/model-selection-and-model-simplification-msms02/
24 November 2021 - 25 November 2021
Species distribution modelling with Bayesian statistics in R (SDMB03)
www.prstatistics.com/course/species-distribution-modelling-with-bayesian-statistics-in-r-sdmb03/
6 December 2021 - 10 December 2021
Introduction to Hidden Markov and State Space models (HMSS01)
https://www.prstatistics.com/course/introduction-to-hidden-markov-and-state-space-models-hmss01/
8 December 2021 - 9 December 2021
Time Series Data Analysis (TSDA01)
https://www.prstatistics.com/course/time-series-data-analysis-tsda01/
14 December 2021 - 17 December 2021
Bayesian Data Analysis (BADA01)
https://www.prstatistics.com/course/bayesian-data-analysis-bada01/
10th January 2022 - 14th January 2022
Introduction to Stan for Bayesian Data Analysis (ISBD01)
https://www.prstatistics.com/course/introduction-to-stan-for-bayesian-data-analysis-isbd01/
18th January 2022 - 20th January 2022
Stable Isotope Mixing Models using SIBER, SIAR, MixSIAR (SIMM08)
https://www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm08/
1st February 2022 - 4th February 2022