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Course Outline
Quick Overview
- Data Sources
- Data Management
- Recommender Systems
- Targeted Marketing
Data Types
- Structured vs. Unstructured Data
- Static vs. Streamed Data
- Attitudinal, Behavioral, and Demographic Data
- Data-Driven vs. User-Driven Analytics
- Data Validity
- Volume, Velocity, and Variety of Data
Models
- Model Development
- Statistical Models
- Machine Learning Techniques
Data Classification
- Clustering Methods
- k-Groups, k-Means, Nearest Neighbors
- Ant Colony Optimization, Flocking Behaviors
Predictive Models
- Decision Trees
- Support Vector Machines
- Naive Bayes Classification
- Neural Networks
- Markov Models
- Regression Analysis
- Ensemble Methods
Return on Investment (ROI)
- Benefit-to-Cost Ratio
- Software Costs
- Development Costs
- Potential Benefits for Government Operations
Building Models
- Data Preparation (MapReduce)
- Data Cleansing
- Method Selection
- Model Development
- Model Testing
- Model Evaluation
- Model Deployment and Integration for Government Use
Overview of Open Source and Commercial Software
- R-Project Package Selection
- Python Libraries
- Hadoop and Mahout
- Apache Projects Related to Big Data and Analytics
- Commercial Solutions for Government Use
- Integration with Existing Software and Data Sources
Requirements
A solid understanding of traditional data management and analysis techniques is essential for government operations. This includes proficiency with SQL, data warehouses, business intelligence tools, and Online Analytical Processing (OLAP). Additionally, a foundational knowledge of basic statistics and probability, such as mean, variance, probability, and conditional probability, is crucial for effective data-driven decision-making for government agencies.
21 Hours
Testimonials (2)
The content, as I found it very interesting and think it would help me in my final year at University.
Krishan - NBrown Group
Course - From Data to Decision with Big Data and Predictive Analytics
Richard's training style kept it interesting, the real world examples used helped to drive the concepts home.