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R for Life Science Researchers training course

A comprehensive introduction to R - The language widely used among statisticians and data miners for developing statistical software and data analysis.

4.8 out of 5 average

(see feedback)

Overview

Our R for data analysts training course is designed for teams looking to replace or augment Excel, SPSS or SAS workflows with R.

This workshop is designed to teach basic concepts, skills and tools for working more effectively with data that usually a scientist would analyse in spreadsheets programs (i.e. Excel).

This is time consuming because it usually requires a lot of manual work. If you want to change a parameter or run an analysis with a new dataset, you usually have to redo everything by hand. It is also difficult to track or reproduce statistical or plotting analyses done in spreadsheet programs (i.e.macros) when you want to go back to your work or someone asks for details of your analysis.

The workshop is aimed at researchers in the life sciences at all career stages and is designed for learners with little to no prior knowledge of programming, shell scripting, or command line tools

 

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Next on 6th Jun 2022

JBI training course London UK

  • How to use spreadsheet programs (such as Excel) more effectively, and the limitations of such programs
  • Getting data out of spreadsheets and into more powerful tools (R)
  • Data management and manipulation with R
  • Data visualization § Workflows and automating repetitive tasks, in particular using the command line shell
  • Perform basic statistical tests with R
TAILOR-MADE
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PUBLIC COURSES
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Data organization in spreadsheets:

•   formatting problems and recommendation for a better formatting (helping following bioinformatics analyses)

•  Limitations

Introduction to R and R studio:

•   Introduction
•   Define the following terms as they relate to R: object, assign, call, function, arguments, options.
•   Call functions and use arguments to change their default options.

 

Manipulating tables (data frames) in R:

• Load external data from a .csv file into a data frame.
• Summarize and manipulate the contents of a data frame

Manipulating and analyzing data in R with dplyr package

•  Introduction
•  Describe the purpose of the dplyr and tidyr packages.
• Manipulate and reshape data

 

 

Data visualisation in R:

• Produce scatter plots, boxplots, and time series plots using ggplot package Stats with R:
• How to perform statistical tests in R (for qualitative and quantitative parametric data)

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•  Introduction
• Brief continuation of stats with R if necessary
• Bring your own data!!!!!!!! Discussion and help.

 

TAILOR-MADE
Enquire & get a quote
PUBLIC COURSES
Next on 6 Jun - see prices
JBI training course London UK

The workshop is aimed at researchers in the life sciences at all career stages and is designed for learners with little to no prior knowledge of programming, shell scripting, or command line tools

This course is aimed at beginners, no prior knowledge is required

TAILOR-MADE
Enquire & get a quote
PUBLIC COURSES
Next on 6 Jun - see prices

4.8 out of 5 average

"Clear explanations about functions in R and data visualistaion tools to perform statistical tests. Extremely useful to be able to cater the data to our company for examples."

JZ, Executive, R for Life Science Researchers, January 2021

TAILOR-MADE
Enquire & get a quote
PUBLIC COURSES
Next on 6 Jun - see prices
JBI training course London UK
 
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