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Statistical Modelling in R
- 1 day course

Make standard statistical techniques easy with R, out of the box

Work with data on a day-to-day basis?

Learn R’s fundamental modelling techniques, from hypotheses tests, ANVOA tables, regression analysis, to more sophisticated methods such as clustering and principal components analysis (PCA).

 

course overview

From the very beginning, R was designed for statistical modelling. ThiaLearn advanced graphics packages like ggplot2 to create advanced and informative graphics. This training course stresses understanding – not just one off R scripts. s course covers the fundamental modelling techniques. We begin the day by revising hypotheses tests, before moving on to ANVOA tables and regression analysis. The class ends by looking at more sophisticated methods such as clustering and principal components analysis (PCA).

Throughout the day we’ll cover: 

  • Basic hypothesis testing: examples include the one-sample t-test, one-sample Wilcoxon signed-rank test, independent two-sample t-test, Mann-Whitney test, two-sample t-test for paired samples, Wilcoxon signed-rank test 
  • ANOVA tables: One-way and two-way tables Simple and multiple linear regression: Including model diagnostics 
  • Clustering: Hierarchical clustering, k-means 
  • Principal components analysis: Plotting and scaling data

By the end of the day participants will be able to: 

  • Gain a thorough understanding of popular statistical techniques 
  • Make appropriate assumptions about the structure of data and check the validity of these assumptions in R 
  • Fit regression models in R between a response variable 
  • Apply techniques to your own data using R’s common interface to statistical functions 
  • Cluster data using standard clustering techniques

COURSE SERIES OVERVIEW

Intro to R - 1 day course

This is a one-day intensive course on R and assumes no prior knowledge. Learn how to efficiently code in R. Grasp fundamental techniques like functions for loops, conditional expressions and learn when to use them.

Data Carpentry - 1 day course

Bring yourself to the forefront of data science with the tidyverse. Work with data on a day-to-day basis? Take the pain out of data manipulation by leveraging the tidyverse. This course covers key aspects of the tidyverse, including dplyr, lubridate, tidyr and tibbles.

Visualisation - 1 day course

Learn today's most advanced plotting library. Leverage the power of ggplot2 to create advanced and informative graphics

Statistical Modelling in R

Make standard statistical techniques easy with R, out of the box. Learn R’s fundamental modelling techniques, from hypotheses tests, ANVOA tables, regression analysis, to more sophisticated methods such as clustering and principal components analysis (PCA).

next course dates

21st and 23rd April 2020 9am – 5pm with an hour lunch break (lunch not provided), Kollider, Castle House, Sheffield, S3 8LS.

Individual

per person
£ 400
  •  

course INSTRUCTOR

Alan Cordwell

Alan Cordwell

Instrcutor

Alan’s career has spanned 35 years working in mobile radio and IT for the Philips Group and latterly in the police service. He has worked as technical advisor to several major projects for systems replacement, working both with users to agree specifications and with bespoke software suppliers to ensure the products were delivered to those specifications.

He is currently working as a freelance software developer and IT consultant, with specialist knowledge of Java and web technologies including HTML, Javascript, CSS, PHP and MySQL. He has also done considerable work on developing applications for the Android operating system, and with embedded microcontrollers in both the C and assembler languages.

Are you eligible for funding?

Skills Bank is a Sheffield City Region Local Enterprise Partnership (LEP) project that provides employers in the Sheffield City Region with funding for training that will help their business grow.  

Contact us to find out if your business is eligible for Skills Bank funding for this course.

enquire now