Course Outline

Day One: Language Basics

  • Course Introduction
  • About Data Science
    • Data Science Definition
    • Process of Doing Data Science.
  • Introducing R Language
  • Variables and Types
  • Control Structures (Loops / Conditionals)
  • R Scalars, Vectors, and Matrices
    • Defining R Vectors
    • Matricies
  • String and Text Manipulation
    • Character data type
    • File IO
  • Lists
  • Functions
    • Introducing Functions
    • Closures
    • lapply/sapply functions
  • DataFrames
  • Labs for all sections

Day Two: Intermediate R Programming

  • DataFrames and File I/O
  • Reading data from files
  • Data Preparation
  • Built-in Datasets
  • Visualization
    • Graphics Package
    • plot() / barplot() / hist() / boxplot() / scatter plot
    • Heat Map
    • ggplot2 package (qplot(), ggplot())
  • Exploration With Dplyr
  • Labs for all sections

Requirements

  • Basic programming background is preferred

Audience

  • Data analysts
 14 Hours

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 3200 € + VAT*

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