Summary

Data and visual analytics is an emerging field concerned with analyzing, modeling, and visualizing complex high dimensional data.

This course will introduce students to the field by covering state­-of-­the-art modeling, analysis and visualization techniques. It will emphasize practical challenges involving complex real world data and include several case studies and hands-on work with the R programming language.

Expected Learning

You should take this course if you want to cover the state of the art in data modeling and visualization techniques using the R programming language.

Syllabus

Programming in R

• The R Programming Language
• R Programming Syntax
• R Programming and Data Structures

Data Analysis

• Data Preprocessing
• Data Processing
• Data Visualization

Regression

• Logistic Regression
• Linear Regression
• Regularization

Required Knowledge

• Programming experience
• Mathematics: basic linear algebra, calculus, introductory probability
• No background in machine learning is required