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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