i)Introduction to Big Data Analytics
Representing Big Data with R and Rattle
Visualizing data characteristics |
ii)Modeling and Predictive Data Analysis
Applying appropriate mining techniques |
iii)Leveraging Analytics with RHadoop
Building a Recommendation Framework |
vi) Mining Unstructured Data
Investigating business value within unstructured data
Implementing text mining and social network analysis |
v)Planning and Implementing a Complete Data Analytics Solution
Transforming business objectives to analytic projects
Implementing the analytics life cycle
Ensuring a Successful Data Analytics Solution |