Data Visualisation in R Using ggplot 2

Duration: 1 Day
Price: £350 + VAT

Overview

Data visualisation is an important part of quantitative analysis that allows us to explore data and communicate our findings. ggplot2 is part of the ‘Tidyverse’ family of packages that aim to make data management, analysis and visualisation more user-friendly. It contains a wide range of options to customise plots and can be used for all types of data. This course will discuss good practice when preparing data to plot and introduce a range of commonly used plots within the ggplot package. Users will be shown how to customise plots to convey the message they need in the clearest, most informative way. Please note that this course is only recommended for those that have learned the basics of R elsewhere. The course assumes a basic knowledge of R programming (please get in touch if you’d like information on our ‘Intro to R’ online or face-to-face course).

Introduction to Regressions Analysis Using ‘R’ Software

Duration: Two Half-Days
Price: £350 + VAT

Overview

Regression is a very powerful method of quantitative analysis that allows us to investigate the relationship between an outcome of interest and a number of explanatory variables. From this we can make inferences while accounting for confounding factors and use this to make predictions. This course will introduce the theory behind linear regression analysis and show how R can be used to fit and interpret regression models. Please note that this course is only recommended for those that have learned the basics of R elsewhere. The course assumes a basic knowledge of R programming and statistics (e.g. confidence intervals and p-values). Please get in touch if you’d like information on our ‘Intro to R’ online or face-to-face course.

Behavioural Policy Appraisal

Duration: 1 Day
Price: £595 + VAT

Overview


Cost benefit analysis (CBA) lies at the heart of policy appraisal in Government and increasingly for the voluntary sector too. For CBA to be useful in informing resource allocation decisions, we need to accurately measure all the causal impacts of the policy and to attach a monetary value to them.

The findings from behavioural economics have important implications for how we appraise policies and for how we carry out and interpret CBA. This one day course takes the latest developments from behavioural economics and applies them to how we measure and value the impacts of interventions, policies and programmes.

Introduction to Quantitative Analysis Using ‘R’ Software

Duration: 2 Days
Price: £745 + VAT

Overview

This two-day course includes a comprehensive introduction to the statistical package R and commonly used quantitative methods up to and including regression analysis. As a result, delegates will understand the theory behind common quantitative methods and how to apply these using the R package. No previous experience of R is required. Topics covered in this course include:
 

  • Introduction to R using the RStudio interface
  • Introduction to data management in R (including how to import data, how to tidy data and how to transform it ready for analysis)
  • Data visualisation using R
  • Describing data
  • Making inferences using datasets (including statistical significance testing, confidence intervals and p-values)
  • Introduction to regression analysis
  • Individual requests related to delegate projects

In-house Consultancy Skills in the Government Analytical Service

Duration: 1 Day
Price: £495 + VAT

Overview

This one-day workshop will enable delegates to explore and practise the key skills and behaviours required to confidently partner and offer effective solutions to internal stakeholders and customer groups.

They will start to build their own personal ‘brand’ by understanding and experiencing personal impact, trust and rapport. They will also examine the elements of effectively diagnosing customer needs.

The workshop is highly interactive and allows for bespoke feedback from qualified actor/coaches. Delegates should bring examples of challenging conversations they have experienced, or they think they might experience in their workplace.

For more information, to book or to register your interest in future course dates

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