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    On-Demand Course Details

    Clinicians work with data every day, but many need help to handle it effectively. Our introductory course provides hands-on training in using data science tools and techniques to make informed decisions.

    This second course is designed for those who want to build on their skills from the introductory course, or for those who already have some data science knowledge and want to learn more about R.

    By attending this course, you will:

    • Learn to use R, one of the most powerful tools for data science
    • Gain the skills and knowledge to conduct meaningful research involving data
    • Become independent in your ability to use R for data science
    YouTube video

    Course Modules

    Introduction to R

    • Functions, Objects, and Packages
    • Basic R Syntax
    • Subsetting in R
    • Using Excel Files in R
    • Good Practice
    • Using R Studio
    • Creating R Scripts

    Tools in R

    • Data Manipulation and Aggregation
    • Joining Data Frames
    • Reducing Repetitive Work
    • Filter & Select
    • Regular Expressions

    Data Visualisation in R

    • Exploring Visual Data
    • Using ggplot2 to Create Figures for Publication
    • Creating Tables for Publication

    Speciality

    • Anaesthetics
    • Emergency Medicine
    • General Practice
    • Intensive Care
    • Medicine
    • Obs & Gynae
    • Ophthalmology
    • Paediatrics
    • Psychiatry
    • Radiology
    • Surgery

    Target Audience

    • Medical Student
    • Foundation Doctor
    • Senior House Officer
    • SAS Doctor
    • Registrar
    • Consultant
    • Nurse Practitioner

    Features

    • Live Teaching
    • Quizzes
    • Videos

    Data Science: Intensive Course in R

    Moorfields Education Logo

    Accredited by The CPD Certification Service

    £350
    16 CPD

    Features

    • Live Teaching
    • |
    • Quizzes
    • |
    • Videos

    Our introductory course provides hands-on training in using data science tools and techniques to make informed decisions.