Course Outline
Introduction to Time Series Analysis for Government
- Overview of time series data for government applications
- Components of time series: trend, seasonality, noise
- Setting up Google Colab for time series analysis in a public sector context
Exploratory Data Analysis for Time Series
- Visualizing time series data to inform government decision-making
- Decomposing time series components to identify patterns and trends
- Detecting seasonality and trends in public sector datasets
ARIMA Models for Time Series Forecasting
- Understanding ARIMA (AutoRegressive Integrated Moving Average) for government use cases
- Choosing parameters for ARIMA models to optimize public sector forecasting
- Implementing ARIMA models in Python for government applications
Introduction to Prophet for Time Series Forecasting
- Overview of Prophet for time series forecasting in a governmental context
- Implementing Prophet models in Google Colab for government analysis
- Handling holidays and special events in forecasting for government operations
Advanced Forecasting Techniques for Government
- Handling missing data in time series for accurate public sector forecasts
- Multivariate time series forecasting to address complex government datasets
- Customizing forecasts with external regressors to enhance governmental planning
Evaluating and Fine-tuning Forecast Models for Government
- Performance metrics for time series forecasting in the public sector
- Fine-tuning ARIMA and Prophet models to meet government standards
- Cross-validation and backtesting for robust governmental forecasts
Real-world Applications of Time Series Analysis for Government
- Case studies of time series forecasting in public sector operations
- Practical exercises with real-world datasets from government sources
- Next steps for time series analysis in Python for government use
Summary and Next Steps for Government
Requirements
- Intermediate proficiency in Python programming
- Understanding of fundamental statistics and data analysis methods
Audience
- Data analysts for government and private sectors
- Data scientists
- Professionals working with time series data in various industries
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
