Code Clinic: R

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Free Online Course: Code Clinic: R provided by LinkedIn Learning is a comprehensive online course, which lasts for 1-2 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from LinkedIn Learning. Code Clinic: R is taught by Mark Niemann-Ross.

Overview
  • Practice coding with R. Explore common R programming challenges, and then compare the results with other programming languages in the Code Clinic series.

Syllabus
  • Introduction

    • Welcome
    • Getting the most from Code Clinic
    1. Problem One: Weather Statistics
    • Introduction: The weather at Lake Pend Oreille
    • Overview of linear models solution
    • Importing data from GitHub
    • Calculating the coefficient of barometric pressure
    • Plotting the pressure and fit line
    2. Problem Two: Where Am I?
    • Introduction: Where am I?
    • Overview of geolocation solution
    • Retrieving my latitude and longitude
    • Mapping my location
    3. Problem Three: Eight Queens
    • Introduction: Eight queens
    • Overview of eight queens solution
    • Modeling the problem to exclude columns
    • Setting up to exclude rows
    • Filtering for diagonal conflicts
    • Efficiently storing the results
    • Plotting the result
    4. Problem Four: Musical Instrument
    • Introduction: Accessing peripherals
    • Overview of accessing peripherals solution
    • Use Tcl/Tk and sonify( ) for a theremin
    5. Problem Five: Facial Recognition
    • Introduction: Facial recognition
    • Overview of facial recognition solution
    • Sending an image to Microsoft Cognitive Services Face API
    • Rendering the image with face boxes
    • Saving the results in JSON
    6. Problem Six: Real-Time Information Dashboard
    • Introduction: Real-time information dashboard
    • Overview of dashboard solution
    • Using Shiny Server to serve data values
    • Using an R package for data and functions
    • Using the Shiny client to render data