Course Information: Data Visualization  (20765)

An important skill that a data analyst should possess is to communicate practical implications of any data set after performing quantitative analysis of the information. Using technical means and software tools to communicate the information in a non-technical manner will help firms to make meaningful decision. Data visualization requires students to become familiar with technologies in use, streamline the analysis, and highlight implications efficiently using tools such as Python and R.

Required Materials:		Not Yet Available
Technical Requirements:		Not Yet Available
Pre-Requisite:		(( DATA 2501 with minimum grade: C ) OR ( DATA 2501 with minimum grade: TRC ) AND ( (CSCI 1130 with minimum grade: C ) OR ( CSCI 1130 with minimum grade: TRC ) OR ( CILS 1130 with minimum grade: C ) OR ( CILS 1130 with minimum grade: TRC) ))
Link to View/Purchase Book:		View Book with CRN   :   View Book with Course Info
Course Attributes:		1. Synchronous

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