Course Outline
Introduction to Time Series Analysis for Government
- Overview of time series data for government applications
- Components of time series: trend, seasonality, and noise
- Setting up Google Colab for time series analysis in a government context
Exploratory Data Analysis for Time Series in Government
- Visualizing time series data for government operations
- Decomposing time series components to inform policy decisions
- Detecting seasonality and trends to enhance governance
ARIMA Models for Time Series Forecasting for Government
- Understanding ARIMA (AutoRegressive Integrated Moving Average) for government use
- Choosing parameters for ARIMA models to support public sector forecasting
- Implementing ARIMA models in Python for government applications
Introduction to Prophet for Time Series Forecasting for Government
- Overview of Prophet for time series forecasting in a government setting
- Implementing Prophet models in Google Colab for government data
- Handling holidays and special events in forecasting for government operations
Advanced Forecasting Techniques for Government
- Handling missing data in time series for government datasets
- Multivariate time series forecasting to support comprehensive public sector analysis
- Customizing forecasts with external regressors for enhanced accuracy
Evaluating and Fine-tuning Forecast Models for Government
- Performance metrics for time series forecasting in government applications
- Fine-tuning ARIMA and Prophet models to meet public sector needs
- Cross-validation and backtesting to ensure reliable government forecasts
Real-world Applications of Time Series Analysis for Government
- Case studies of time series forecasting in government agencies
- Practical exercises with real-world government datasets
- Next steps for implementing time series analysis in Python for government use
Summary and Next Steps for Government
Requirements
- Intermediate knowledge of Python programming for government applications
- Familiarity with basic statistics and data analysis techniques
Audience
- Data analysts in the public sector
- Data scientists for government agencies
- Professionals working with time series data in governmental contexts
Testimonials (3)
Hands-on examples allowed us to get an actual feel for how the program works. Good explanations and integration of theoretical concepts and how they relate to practical applications.
Ian - Archeoworks Inc.
Course - ArcGIS Fundamentals
All the topics which he covered including examples. And also explained how they are helpful in our daily job.
madduri madduri - Boskalis Singapore Pte Ltd
Course - QGIS for Geographic Information System
The thing I liked the most about the training was the organization and the location
