Sources of Data - Analytics Value Escalator - Story of a company - Getting Started with Azureml.
Introduction to Extract, Load and Transform - Generating Value from multiple sources of Data - Database and SQL - SQL Joins - Other ELT Tasks
Descriptive analytics Introduction - Application in World trade Data - Describing single quantity - Credit Card Data set - Describing a Single quantity in Azureml - Describing Two quantities in Azureml.
Forecasting, Time Series Analysis - Additive & Multiplicative models - Exponential smoothing techniques.
Forecasting Accuracy - Auto-regressive and Moving average models - Demo using SPSS.
Reference Book:
Sumit Mund, ‘Microsoft Azure Machine Learning’, Packt Publishing Anil Maheswari, ‘Data Analytics Made Accessible’, THM Publishers.
Text Book:
Fontama et.al, ‘Predictive Analytics with Microsoft Azure Machine Learning’, Apress. Eric Siegel, ‘Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die’, Wiley. Fontama et.al, ‘Predictive Analytics with Microsoft Azure Machine Learning’, Apress.
