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.

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Why Take This Course

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.

What You Will Learn

Lesson 1

Programming in R

- The R Programming Language

- R Programming Syntax

- R Programming and Data Structures

Lesson 2

Data Analysis

- Data Preprocessing

- Data Processing

- Data Visualization

Lesson 3

Regression

- Logistic Regression

- Linear Regression

- Regularization

Prerequisites and Requirements

- Programming experience

- Mathematics: basic linear algebra, calculus, introductory probability

- No background in machine learning is required

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

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