R Programming

Setelah mengikuti pelatihan R Programming ini peserta diharapkan mampu memahami konsep pemrograman R dan penerapannya dalam pengolahan data untuk mendukung pengambilan keputusan. Materi yang diajarkan antara lain tools R, Basic Statistics, Data Frame, Charting, dan Regression Linear.

Target Peserta:

Mahasiswa, researcher, analis data, dan siapa saja yang ingin menguasai Pemrograman R.

Prasyarat:

Peserta telah memahami konsep statistika dasar dan mampu mengoperasikan komputer.

Durasi: 16 Jam

Biaya: 2 juta

Materi:

  • Tools:
    • Installing R (Core & Studio)
    • Getting Help on a Function
    • Viewing the supplied documentation
    • Searching the web for help
  • Reading Files and Basic Operation:
    • Reading Tabular Datafiles
    • Reading from CSV Files
    • Creating a Vector
    • Computing Basic Statistics
  • Data Frame 1:
    • Initializing a Statistics & Exploratory Data Analysis
    • Initializing a Data Frame from Column Data
    • Selecting Data Frame Columns by Position
    • Selecting Data Frame Columns by Name
  • Data Frame 2:
    • Forming a Confidence Interval for a Mean
    • Forming a Confidence Interval for a Proportion
    • Comparing the Means of Two Samples
    • Testing a Correlation for Significance
  • Charting:
    • Creating a Scatter Plot
    • Creating a Bar Chart
    • Creating a Box Plot
    • Creating a Histogram
  • Linear Regression 1:
    • Performing Simple Linear Regression
    • Regression Statistics
    • Diagnostic a Linear Regression
    • Predicting new values
    • Case Study
  • Linear Regression 2:
    • Performing Multiple Linear Regression
    • Regression Statistics
    • Diagnostic a Linear Regression
    • Predicting new values
    • Case Study
  • R Library:
    • Supporting Package Installation
    • Accessing the Functions in a Package

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r programming

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