EEE356 - Data Analytics [R] (2020-2021 Spring)

Office Hours by Reservation via e-mail

  • Venue: Room 210, West Wing, Prefab Building

  • Date&Time: Will be announced in response to e-mail reservation

Main Course

  • Venue: Distance Learning

  • Date&Time: 09:15-12:00 on Mondays

  • Objectives: This course aims to gain students insight and required skills related to data analytics containing R Programming, data wrangling, data visualisation, exploratory data analysis, and approaches to missing data.

  • Contents: Introduction to Data Analytics, Introduction to R Programming Language, Data Structures, Control Structures, Functions, Data Wrangling, Data Visualisation, Exploratory Data Analysis, and Approaches to Missing Data.

Lecture Slides

  1. Course Introduction and Scope

  2. Introduction to Data Analytics



  • Week 9: Midterm Examination

  • Week 16: Final Examination