This course will provide foundation to understand big data and be part of data analytics projects. It will cover the lifecycle of big data analytics to address business needs leveraging big data. Basic and advanced analytic methods including technology and tools used will be introduced.
Foundation of Big Data Analytics
This module will provide necessary background to Big Data space with state of the practice in Analytics. Students will understand Role of Data Scientist and Big Data analytics as applicable to the Industry. This will also cover various stages of Data Analytics Lifecycle.
Data Analytics using R
This module will provide hands on approach to understand R, using R to view data and Analyze data. Statistical Model building and evaluation will be part of this module.
This module will deal with theories and methods used for advanced analytics. Approaches to analysis including Clustering, Association Rules, Liner and Logistic Regression, Decision Trees, Time Series will be covered.
Advanced Analytics – Technologies
Analytics for unstructured data – MapReduce and Hadoop will be covered. Gain skill using Hadoop Ecosystem for in-database analytics, SQL, Advanced SQL and MADlib for In-database Analytics.
Delivering Analytics Results
This module will provide knowledge to manage and deliver analytics projects, identifying and creating final deliverables. Data Visualization techniques and presentation of results to convince business will also be covered.