2018/19: Software for Analysing Data (R course)

Course Info

Course Name Software for Analysing Data
Program Name MSc. Management & Data Science
University Leuphana Universität Lüneburg
Course FilesGithub Repo (coming soon)

Course Contents

The key topics that I covered during the semester were:

  1. Deciphering Pseudocode
  2. Fundamental principles in programming
    • Variables, mathematical operators, logical operators
    • Control structures: conditionals, loops, functions
    • Data types and data structures in R
    • File input and output in R
  3. Data Preparation with tidyverse in R
    • readr, readxl, dplyr, tidyr, pipes
    • selecting/filtering, grouping data
  4. Data Visualization with Base R and ggplot2