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Data Analysis and Visualization

Free Course

Offered at Georgia Tech as CSE 6242

Related Nanodegree Program

Data Analyst

In collaboration with
  • Georgia Institute of Technology

About this course

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.

What you will learn

  1. Programming in R
    • The R Programming Language
    • R Programming Syntax
    • R Programming and Data Structures
  2. Data Analysis
    • Data Preprocessing
    • Data Processing
    • Data Visualization
  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

See the Technology Requirements for using Udacity.

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.

Learn with the best.

  • Arpan Chakraborty
    Arpan Chakraborty

    Curriculum Lead, Machine Learning