Introduction to R (Online), Certificate | Part time online | UCL | United Kingdom
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Certificate Online

Introduction to R (Online)

UCL
1 days
Duration
100 GBP/full
100 GBP/full
Unknown
Tuition fee
Anytime
Unknown
Apply date
Anytime
Unknown
Start date

About

University College London (UCL)'s Introduction to R (Online) course aims to familiarise participants with the R interface and the R language in order to enable them to conduct statistical analysis.

Overview

Key facts

This self-paced course is aimed at researchers who want to learn how to use the statistical software R to conduct statistical analysis.

You'll be expected to have a basic understanding of common statistical tests and concepts as these will not be taught during this course.

University College London (UCL) offers the Introduction to R (Online) programme.

Programme Structure

Courses include:

  • Input of data sets
  • Summary measures
  • Graphical displays
  • Statistical tests (e.g. t-test)
  • Add-ons and packages in R
  • Help in R

Key information

Duration

  • Part-time
    • 1 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

A basic level of statistical literacy is required as a prerequisite. You should have a basic understanding of standard errors, p-values and confidence intervals.If you've completed the five-day Introduction to Statistics and Research Methods course then you'll have the necessary skills.

Tuition Fee

To always see correct tuition fees
  • International

    100 GBP/full
    Tuition Fee
    Based on the tuition of 100 GBP for the full programme during 1 days.
  • National

    100 GBP/full
    Tuition Fee
    Based on the tuition of 100 GBP for the full programme during 1 days.

Funding

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