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Methodnex

R for Data Analysis

Import, clean, visualise and model data in R, and write a report that reruns.

Proposed outline

Data Science, Foundation

What you will be able to do

  • Import, clean and reshape data with the tidyverse.
  • Build clear graphics with ggplot2.
  • Run common statistical tests and models in R.
  • Write a reproducible report with Quarto.

Syllabus

  1. 1

    R and RStudio basics

    Objects, functions, packages and projects.

  2. 2

    Data wrangling

    Filtering, joining, reshaping and handling missing values.

  3. 3

    Visualisation

    The grammar of graphics and figures fit for publication.

  4. 4

    Statistics in R

    Tests, linear models and tidy output.

  5. 5

    Reproducible reports

    Quarto documents that combine text, code and results.

  6. 6

    Mini project

    An analysis from raw data to a short report.

Who it is for
Researchers and analysts moving from point-and-click software to code.
Prerequisites
None. Programming experience is not required.
Software
R and RStudio, both free.
Certificate
A certificate of completion for participants who meet the attendance and assessment criteria. It is not a university credit or an accredited qualification.
Cancellation
The refund and cancellation terms are published before registration opens.

Part of these learning paths

Frequently asked questions

When do courses start?

Dates are not set yet. Register your interest and we will email you when a cohort is scheduled.

Will I receive a certificate?

Participants who meet the attendance and assessment criteria receive a certificate of completion. It is not a university credit or an accredited qualification.

Can my institution book a private course?

Yes. Any course can be adapted for a department or team. Use the institutional request form.

What language are courses taught in?

Each course page states its language. Most are planned in Arabic or English, depending on the cohort.

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