Advanced Analytics with RapidMiner Training Course

Introduction

• Overview of RapidMiner Studio for government use
• Orientation to the RapidMiner user interface and features

CRISP-DM Methodology in RapidMiner

• Understanding the CRISP-DM framework for government data projects
• Application of the methodology in estimation and projection of values for government initiatives

Data Understanding and Preparation

• Data import and exploration techniques for government datasets
• Preprocessing and cleaning methods tailored for government data
• Advanced data transformation methods for enhanced analysis in government operations

Data Modeling with RapidMiner

• Introduction to data modeling for government applications
• Selection and application of machine learning algorithms suitable for government use
• Supervised learning algorithms for predictive analytics in government
• Unsupervised learning algorithms for exploratory analysis in government datasets

Model Evaluation and Deployment

• Techniques for model evaluation to ensure accuracy and reliability in government projects
• Strategies for model deployment to support decision-making processes in government agencies
• Methods for model realignment and optimization to maintain performance over time for government applications

Time Series Analysis and Forecasting

• Fundamentals of time series analysis for government data
• Application of moving average models for trend identification in government datasets
• Time series preprocessing and data aggregation techniques for government use

Advanced Time Series Techniques

• Decomposition analysis to understand underlying patterns in government time series data
• Projection with time windows for accurate forecasting in government operations
• Projection with feature generation to enhance predictive models for government use

ARIMA Modeling

• Understanding ARIMA models for government data analysis
• Practical application of ARIMA models in RapidMiner for government projects

Summary and Next Steps