Data Visualization and Analytics

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Data Visualization and Analytics

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Duration: 6 Months (240 Hrs.)



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Data Visualization and Analytics

Data visualization is the graphical representation of information and data in a pictorial or graphical format. Data analytics is the process of analyzing data sets in order to make decision about the information they have, increasingly with specialized software and system. This course provides you the opportunity to learn skills and content to practice and engage in scalable pattern discovery methods on massive transactional data, discuss pattern evaluation measures, and study methods for mining diverse kinds of patterns, sequential patterns, and sub-graph patterns.

The amount and complexity of information produced in today’s world is increasing at staggering rates. If this data is delivered to you in spreadsheets or tabular reports, it becomes very challenging to find the patterns, trends and correlations necessary to understand the data. Effective data visualization is an important tool as it allows us to quickly examine large amounts of data, expose trends efficiently, exchange ideas with key players, and influence decisions.

The goal of this course is to expose you to visual representation methods and techniques that increase the understanding of complex data. In this course we will study good design practices for visualization, tools for visualization of data from a variety of fields and visualization software like Processing, Tableau.

Course Curriculum