Dr. Mark Gardener

 
About

Providing training for:

  • Ecology
  • Data analysis
  • Statistics
  • R: The Statistical Programming Language
  • Data management

Training Courses – Outlines

We run training courses in data management, visualisation and analysis using Excel and R: The Statistical Programming Environment. From 2013 courses will be held at The Field Studies Council Field Centre at Slapton Ley in Devon. Alternatively we can come to you and provide the training at your workplace.


The list of courses is given in the following table. They are split according to "approach", with the columns relating to R-courses or not and rows giving the topic/specialism to help you find the course most appropriate for your needs.
Training Courses Page
Training Courses Prospectus
  Basic Courses Courses Using R
Basics/Introduction

D101–Basic Statistics
D102–Data Management

R101–Starting with R
R103–Ecological Analysis Using R
R104–Beginning R

Advanced D201–ANOVA & Regression R201–ANOVA & Regression Using R
Community Analysis D202–Community Ecology
D203–Beyond NVC
R103–Ecological Analysis Using R
R202–Multivariate Analysis Using R
Graphics D103–Graphics in Excel R102–Graphs Using R

Click on any course code number to jump to the appropriate description.


D101: Basic Statistics
Level: beginner
Length: 1.5 days
Contact time: 10 hrs

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D101 – Basic Statistics: Understanding Variability in the Natural World


Level: beginner Length: 1.5 days Contact time: 10 hrs Cost: £375

This course is intended to be a primer in data analysis and statistics. No special software is used and you will learn some of the basics that underpin most analytical methods as well as starting to understand how to explore variability in the natural world.

Key Points

  • One and a half day course
  • Ten hours contact time
  • Basic Statistical methods – no prior knowledge assumed
  • Describing data
  • Hypothesis testing
  • Differences tests
  • Correlation
  • Association tests
  • Graphical analysis

As a residential course this runs for a day and a half (arriving at lunch-time on day 1). The price includes tuition covering 10 hours, accommodation and all meals.

As a workplace course this can be run as a 1-day or a 2-day course.


D102: Data management
Level: beginner
Length: 1.5 days
Contact time: 10 hrs

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D102 – Data Management: Organising and Using Ecological Data


Level: beginner Length: 1.5 days Contact time: 10 hrs Cost: £375

This course is about managing data in an effective and efficient manner. You will learn, using Excel, how to arrange, store and manage your data so that you can maximise its potential.

Key Points

  • One and a half day course
  • Ten hours contact time
  • Using Excel to store and manage data
  • Learn how Pivot Tables can maximise the potential of your data
  • Setting out data efficiently – the principles of Biological Recording
  • Error checking
  • Summarising your data
  • Graphing your data

As a residential course this runs for a day and a half (arriving at lunch-time on day 1). The price includes tuition covering 10 hours, accommodation and all meals.

As a workplace course this can be run as a 1-day or a 2-day course.


D103: Graphs in Excel
Level: beginner
Length: 1.5 days
Contact time: 10 hrs

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D103 – Graphs in Excel: Using Excel to Produce Publication Quality Graphs


Level: beginner Length: 1.5 days Contact time: 10 hrs Cost: £375

This course is about using Excel to create effective graphs of the highest quality. You'll learn about the major types of graph and learn how to produce high quality graphs for yourself.

Key Points

  • One and a half day course
  • Ten hours contact time
  • Learn which graphs are suitable for each situation
  • Bar Charts – Error bars and more
  • Box-Whisker plots
  • Scatter plots
  • Tweak your graphs to maximise readability
  • Saving graphs in high quality

As a residential course this runs for a day and a half (arriving at lunch-time on day 1). The price includes tuition covering 10 hours, accommodation and all meals.

As a workplace course this can be run as a 1-day or a 2-day course.


D201: ANOVA & regressionl
Level: intermediate
Length: 1.5 days
Contact time: 10 hrs

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D201 – ANOVA & Regression: Understanding Complexity in the Natural World


Level: intermediate Length: 1.5 days Contact time: 10 hrs Cost: £375

This course builds on basic statistical knowledge and helps you to understand more complex situations using Analysis of Variance and Regression, two widely used analytical methods. No special software is used, everything is demonstrated using Excel.

Key Points

  • One and a half day course
  • Ten hours contact time
  • Builds on basics (e.g. from D101)
  • Learn the essentials of ANOVA
  • Post-Hoc testing
  • Linear Regression
  • Curvilinear regression
  • Regression model building
  • Graphing your results

As a residential course this runs for a day and a half (arriving at lunch-time on day 1). The price includes tuition covering 10 hours, accommodation and all meals.

As a workplace course this can be run as a 1-day or a 2-day course.


D202: Community Ecology
Level: beginner
Length: 1.5 days
Contact time: 12 hrs

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D202 – Community Ecology: Understanding Ecological Diversity


Level: beginner Length: 1.5 days Contact time: 12 hrs Cost: £425

This course focuses on ecological community data. No prior knowledge is assumed. You will learn some of the ways to examine and explore ecological community data. Excel is the primary software tool although you'll also learn about use of the popular (and free) TWINSPAN program.

Key Points

  • One and a half-day course
  • Twelve hours contact time
  • Arranging and managing data
  • Diversity – Species Richness & Diversity Indices
  • Similarity and Association analysis
  • Hierarchical Clustering Analysis
  • TWINSPAN – Two Way INdicator SPecies ANalysis
  • Introduction to multivariate analysis – Polar Ordination

As a residential course this runs for a day and a half (arriving at coffee-time on day 1). The price includes tuition covering 12 hours, accommodation and all meals.

As a workplace course this can be run as a 1-day or a 2-day course.


D203: Beyond NVC
Level: intermediate
Length: 1.5 days
Contact time: 10 hrs

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D203 – Beyond NVC: Doing More with NVC Data


Level: intermediate Length: 1.5 days Contact time: 10 hrs Cost: £375

This course is about doing more with National Vegetation Classification (NVC) data. Often the NVC "classification" is seen as the end-point of the exercise. In this course you will learn how you can use the NVC data as the stating point for a range of other analyses, thus maximising the usefulness of your survey data. Excel will be used for the majority of the course but you'll also see TWINSPAN and get a brief introduction to R: The Statistical Programming Environment.

Key Points

  • One and a half day course
  • Ten hours contact time
  • Managing NVC data
  • Species diversity – Richness and Diversity Indices
  • Similarity indices
  • Ellenberg Indicator analysis
  • Hierarchical Cluster Analysis
  • Introduction to multivariate analysis
  • Using TWINSPAN with NVC data

As a residential course this runs for a day and a half (arriving at lunch-time on day 1). The price includes tuition covering 10 hours, accommodation and all meals.

As a workplace course this can be run as a 1-day or a 2-day course.


R101: Starting R
Level: beginner
Length: 1.5 days
Contact time: 10 hrs

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R101 – Starting with R: An Introduction to R - The Statistical Programming Environment


Level: beginner Length: 1.5 days Contact time: 10 hrs Cost: £375

This course is designed as a primer for using R: The Statistical Programming Language. You'll learn how to get started using R and to use it in exploring data. You'll learn how to create and import data, and how to undertake some basic analyses using R. You'll also be introduced to the essentials of graphical analysis.

Key Points

  • One and a half day course
  • Ten hours contact time
  • Getting started with R
  • Summary statistics and working with data
  • Simple hypothesis tests
  • Differences tests
  • Correlation
  • Association analysis
  • Graphical analysis

As a residential course this runs for a day and a half (arriving at lunch-time on day 1). The price includes tuition covering 10 hours, accommodation and all meals.

As a workplace course this can be run as a 1-day or a 2-day course.


R102: Graphs in R
Level: intermediate
Length: 1.5 days
Contact time: 10 hrs

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R102 – Graphs in R: Unlock the Power of R to Create Great Graphs


Level: intermediate Length: 1.5 days Contact time: 10 hrs Cost: £375

This course is designed for those with a little familiarity with R and builds upon R101 for example. In this course you'll learn how to use R to create a wide range of graphs. You'll learn how to unlock the power of R to customise your graphs, making them more effective.

Key Points

  • One-day course
  • Working with graphical parameters
  • Adding text to graphs
  • Adding lines to graphs
  • Altering axes
  • Adding points to graphs
  • Special graphs – matplots and dotcharts
  • Multiple plots in one window
  • Saving graphs in different formats

As a residential course this runs for a day and a half (arriving at lunch-time on day 1). The price includes tuition covering 10 hours, accommodation and all meals.

As a workplace course this can be run as a 1-day or a 2-day course.


R103: Ecological analyses using R
Level: beginner
Length: 3 days
Contact time: 22 hrs

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R103 – Ecological Analyses Using R: An Introduction to R for Analytical Methods in Ecology


Level: beginner Length: 3 days Contact time: 22 hrs Cost: £725

This course is the "basic" R course for ecologists and environmental scientists. It is designed as a complete introduction to R in the context of biological analysis (especially ecology and environmental science). You'll learn how to use R from the "ground up" – starting with the basics and running through a range of analytical methods culminating with multivariate analyses. Some knowledge of statistical methods are assumed but this need only be at a fairly basic level (e.g. D101).

Key Points

  • Three-day course
  • Twenty two hours contact time
  • The basics of R
  • Simple hypothesis tests
  • Graphical Analysis
  • Analysis of Variance (ANOVA) & Post-hoc testing
  • Regression – Linear, Curvilinear, model building
  • Logistic Regression
  • Similarity & Hierarchical Cluster Analysis
  • Multivariate analyses – e.g. PCA, Decorana

As a residential course this runs for three days (arriving on the evening before for the first session). The price includes tuition covering 22 hours, accommodation and all meals.

As a workplace course this can be run as a three or four day course.


R104: Beginning R
Level: beginner
Length: 3 days
Contact time: 22 hrs

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R104 – Beginning R: Beginning R, The Statistical Programming Language


Level: beginner Length: 3 days Contact time: 22 hrs Cost: £725

This course is designed as an introduction to R for anyone needing a powerful and flexible analytical solution. The approach is based on the book Beginning R: The Statistical Programming Language and is focussed more on learning how to use R as an analytical environment rather than on the statistics themselves. As such, the course is aimed at a wide range of analysts e.g. students, academics, business, consultancy. No prior knowledge is assumed although an appreciation of basic statistical methods would be helpful (e.g. D101).

Key Points

  • Three-day course
  • Twenty two hours contact time
  • How R "works"
  • Working with data objects
  • Descriptive statistics and tabulation
  • Data distribution and hypothesis testing
  • Graphical analysis
  • Formula notation – ANOVA & regression
  • Custom programming

As a residential course this runs for three days (arriving on the evening before for the first session). The price includes tuition covering 22 hours, accommodation and all meals.

As a workplace course this can be run as a three or four day course.


R201: ANOVA & Regression in R
Level: intermediate
Length: 1.5 days
Contact time: 10 hrs

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R201 – ANOVA & Regression: Using R for Analysis of Variance and Regression


Level: intermediate Length: 1.5 days Contact time: 10 hrs Cost: £375

This course uses R: The Statistical Programming Environment to explore analysis of variance (ANOVA) and Regression. It is intended to follow-on from the short basic R courses R101 and R102. You'll learn how to use R for ANOVA and regression analysis. Some statistical knowledge would be helpful at least to basic level (e.g. D101 & perhaps D201) but it is not essential to understand the complexities of ANOVA or regression at the outset.

Key Points

  • One and a half day course
  • Ten hours contact time
  • Understanding the formula syntax for model description
  • Analysis of Variance and Post-Hoc testing
  • Interactions – plotting and 2-way ANOVA
  • Linear regression
  • Curvilinear regression
  • Logistic regression
  • Graphical analysis – e.g. Curve Fitting

As a residential course this runs for a day and a half (arriving at lunch-time on day 1). The price includes tuition covering 10 hours, accommodation and all meals.

As a workplace course this can be run as a 1-day or a 2-day course.


R202: Multivariate analyses in R
Level: intermediate
Length: 1.5 days
Contact time: 10 hrs

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R202 – Multivariate Analysis: Exploring Complexity Using Multivariate Analyses


Level: intermediate Length: 1.5 days Contact time: 10 hrs Cost: £375

This course is designed to focus on multivariate methods of analysis for complicated data using R. Most examples use ecological community data but the techniques can apply to other areas of analysis. It is helpful to have a basic understanding of "regular" analytical methods but this is not essential. Some knowledge of R is essential as this course builds on prior skills using R (e.g. R101).

Key Points

  • One and a half day course
  • Ten hours contact time
  • Hierarchical Clustering Analysis
  • Principal Components Analysis – PCA
  • Correspondence Analysis – CA
  • Canonical and De-Trended Correspondence Analysis – CANOCO (CCA) & Decorana
  • Non-Metric Multi-Dimensional Scaling – NMDS
  • Permutation and Mantel tests
  • Graphical summaries of Ordination

As a residential course this runs for a day and a half (arriving at lunch-time on day 1). The price includes tuition covering 10 hours, accommodation and all meals.

As a workplace course this can be run as a 1-day or a 2-day course.


R Tips & Hints
monogRaphs
Publications Page
An Introduction to R
The R Project Website

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Other Resources/Links

R Project Homepage The main R website. The place to download R and find additional documentation.
An Introduction to R Some introductory material that I originally wrote to help me when I was learning R for myself.
Hints, Tips & Tricks for R and Excel Short tips and hints on a variety of subjects concerned with R and Excel. I update this from time to time (updates via my Twitter feed).
monogRaphs R monographs: slightly longer articles on specific R topics. Articles added from time to time (updates via my Twitter feed).
My Publications I have written books on data analysis and R. This page gives more details of these.

Publications Page

Publications about data analysis and R

Managing Data Using Excel Cover

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