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Big data analytics is the process of examining large and varied data sets — i.e., big data — to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions

BIG DATA SYLLABUS:

Big Data Analytics introduction:

• Big Data overview
• What is a data scientist?
• What are the roles of a data scientist?
• Big Data Analytics in industry

Data analytics lifecycle:

• Data Discovery
• Data Preparation
• Data Model Planning
• Data Model Building
• Data Insights

Data Analytic Methods Using R:

• Introduction to R
• Analyzing and Exploring the Data
• Model Building and Evaluation

Machine learning-Theory and Methods

Introduction to analytics for unstructured data-MapReduce and Hadoop

Sample analytics project

Creating final deliverables