From Data to Decision with Big Data and Predictive Analytics 교육 과정

Quick Overview

• Data Sources
• Minding Data
• Recommender systems
• Target Marketing

Datatypes

• Structured vs unstructured
• Static vs streamed
• Attitudinal, behavioural and demographic data
• Data-driven vs user-driven analytics
• data validity
• Volume, velocity and variety of data

Models

• Building models
• Statistical Models
• Machine learning

Data Classification

• Clustering
• kGroups, k-means, the nearest neighbours
• Ant colonies, birds flocking

Predictive Models

• Decision trees
• Support vector machine
• Naive Bayes classification
• Neural networks
• Markov Model
• Regression
• Ensemble methods

ROI

• Benefit/Cost ratio
• Cost of software
• Cost of development
• Potential benefits

Building Models

• Data Preparation (MapReduce)
• Data cleansing
• Choosing methods
• Developing model
• Testing Model
• Model evaluation
• Model deployment and integration

Overview of Open Source and commercial software

• Selection of R-project package
• Python libraries
• Hadoop and Mahout
• Selected Apache projects related to Big Data and Analytics
• Selected commercial solution
• Integration with existing software and data sources