Key Information
About the content
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.
Prerequisite
Programming experience
Mathematics: basic linear algebra, calculus, introductory probability
No background in machine learning is required
Syllabus
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
Instructors
Arpan Chakraborty
Instructor
Content Designer
The Georgia Institute of Technology, also known as Georgia Tech or GT, is a co-educational public research university located in Atlanta, Georgia, USA. It is part of the wider University System of Georgia network. Georgia Tech has offices in Savannah (Georgia, USA), Metz (France), Athlone (Ireland), Shanghai (China), and Singapore.
Georgia Tech's reputation is built on its engineering and computer science programmes, which are among the best in the world5,6. The range of courses on offer is complemented by programmes in the sciences, architecture, humanities and management.
Platform
Udacity is a for-profit educational organization founded by Sebastian Thrun, David Stavens, and Mike Sokolsky offering massive open online courses (MOOCs). According to Thrun, the origin of the name Udacity comes from the company's desire to be "audacious for you, the student". While it originally focused on offering university-style courses, it now focuses more on vocational courses for professionals.
Detailed explanation on every aspect of analysis and visualization. Good examples presented.
Detailed explanation on every aspect of analysis and visualization. Good examples presented.
