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Programming With R. Learn How To Program In R - Beginners

Course Summary

A Beginners Guide To Getting Started Programming In R.


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    Course Syllabus

    • Introduction
      • Important - Download These First - Working Files
      • 0101 Introduction And Course Overview
      • 0103 Installing R And R Studio
      • 0104 Navigating R Studio
      • 0105 Packages
      • 0106 Assigning Variables
      • 0107 Numbers, Strings, And Booleans
      • 0108 Workspace Operations
      • 0109 How To Access Your Working Files
    • Basic Operations And Manipulations
      • 0201 Basic Operators
      • 0202 Vectors
      • 0203 Sequences
      • 0204 Basic Statistical Functions
      • 0205 Matrices
      • 0206 Matrix Operations
      • 0207 Basic Matrix Statistics
      • 0208 Generating Random Numbers
      • 0209 String Functions
      • 0210 Dates And Times
    • Plotting
      • 0301 Line Plots
      • 0302 Plotting Arguments
      • 0303 Bar Graphs And Histograms
      • 0304 Scatter Plots
      • 0305 Probability Plots
      • 0306 Combining And Saving Plots
    • Working With Data
      • 0401 Arrays
      • 0402 Lists
      • 0403 Data Frames
      • 0404 Data Import
      • 0405 Missing Data - Part 1
      • 0406 Missing Data - Part 2
      • 0407 Ordering And Sorting
      • 0408 Subsetting And Indexing
      • 0409 Merging Data
      • 0410 Examining Files And Objects
    • Data Analysis
      • 0501 Descriptive Statistics
      • 0502 Apply Functions
      • 0503 Linear Models
      • 0504 Extracting Model Information
      • 0505 Principal Componant Analysis
    • Time Series Data
      • 0601 XTS Objects
      • 0602 ACF Plots
      • 0603 Decomposition
      • 0604 Exponential Smoothing
      • 0605 Rolling Functions
      • 0606 ARIMA Models
    • Conditional Statements And Loops
      • 0701 If Statements
      • 0702 For Loops
      • 0703 While Loops
      • 0704 Appending Loops
    • User-Defined Functions
      • 0801 Writing Functions
      • 0802 Debugging Functions
      • 0803 Recursive Functions
    • Saving Data
      • 0901 Saving Different Types Of Data
      • 0902 Additional Resources


Course Fee:
USD 49

Course Type:

Self-Study

Course Status:

Active

Workload:

1 - 4 hours / week

This course is listed under Development & Implementations and Data & Information Management Community

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