Session : 1 – 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
Session : 2 – Data analytics lifecycle
- Data Discovery
- Data Preparation
- Data Model Planning
- Data Model Building
- Data Insights
Session : 3 – Data Analytic Methods Using R
- Introduction to R
- Analyzing and Exploring the Data
- Model Building and Evaluation
Session : 4 – Machine learning-Theory and Methods
Session : 5 – Introduction to analytics for unstructured data-MapReduce and Hadoop
Session : 6 – Sample analytics project
Session : 7 – Creating final deliverables
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