ΕΘΝΙΚΟ ΜΕΤΣΟΒΙΟ ΠΟΛΥΤΕΧΝΕΙΟ | ΜΕΤΑΠΤΥΧΙΑΚΟ ΠΡΟΓΡΑΜΜΑ ΣΠΟΥΔΩΝ | ΕΠΙΣΤΗΜΗ ΔΕΔΟΜΕΝΩΝ ΚΑΙ ΜΗΧΑΝΙΚΗ ΜΑΘΗΣΗ

Programming Tools and Technologies for Data Science

Description

Part A) The R Language

Introduction to the R languageBasic Operators. Basic Types and Classes of Objects. Vectors, Matrices, Lists and Data-Frames. Basic Built-In Functions in R. Importing and Exporting Data. Writing Functions in R. Basic Statistics with R. Distributions in R and Simulations. Plots in R. The Data-Table Object for fast subset, grouping, update, sorting and aggregation of large data-sets. The R Package QQPLOT2 for Creating Elegant Data Visualizations. Applications.   

Professors
Semester
Winter Semester
Category
Obligatory
Lecture Hours
2 hours
Lab Hours
1 hour
Credits
5