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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.

course overview

Get to grips with the tidyverse​ The tidyverse is essential for any statistician or data scientist who deals with data on a day-to-day basis. By focusing on small key tasks, the tidyverse suite of packages removes the pain of data manipulation. This training course covers key aspects of the tidyverse, including dplyr, lubridate, tidyr and tibbles.

This course is all about getting comfortable with the core packages of the tidyverse.

Throughout the day we’ll cover: 

  • Tibbles- the modern take on the data frame. Why use tibbles? 
  • Dplyr- The workhorse of the tidyverse. Learn about popular dplyr functions such as filter(), summarise() and group_by() 
  • Tidy data- What is tidy data and how to use the tidyr package to make use of tidy data 
  • Data Input/Output- How to read data ranging from CSV to SPSS files in and out of R in a smarter fashion 
  • Lubridate- This package brings about a more intuative way of dealing with dates and times than ever before seen 
  • Stringr and Regular expressions- When combined with the text mining language of regular expressions, the stringr package brings about endless possibilities for dealing with text

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

  • Read & write several types of data in and out of R 
  • Filter, summarise and manipulate data in efficient ways 
  • Chain functions together using the piping operator, improving your workflow 
  • Understand what tidy data is and how it will improve your workflow 
  • Manipulate dates and text in a proficient manor 
  • Understand the text mining language Regular Expressions

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