Time Series¶
Dataiku offers many visual and/or coding tools for working with time series data. The resources below will help guide you in your time series goals, whether you are preparing time series data, ready for forecasting, or just looking to get started.
Tip
To validate your knowledge of this area, register for the Time Series Basics or Times Series Preparation courses, optional parts of the Advanced Designer learning path, on the Dataiku Academy.
Concepts & tutorials¶
- Concept | Introduction to time series
- Concept | Time series data types and formats
- Concept | Time series components
- Concept | Objectives of time series analysis
- Concept | Time series preparation
- Tutorial | Visualizing time series data (Time Series Preparation part 1)
- Concept | Time series resampling
- Tutorial | Resampling time series data (Time Series Preparation part 2)
- Concept | Time series interval extraction part 1
- Concept | Time series interval extraction part 2
- Concept | Time series interval extraction part 3
- Tutorial | Time series interval extraction (Time Series Preparation part 3)
- Concept | Time series windowing part 1
- Concept | Time series windowing part 2
- Concept | Time series windowing part 3
- Tutorial | Time series windowing (Time Series Preparation part 4)
- Concept | Time series extrema extraction (Time Series Preparation part 5)
- Tutorial | Time series extrema extraction
- Tutorial | Forecasting time series (Visual ML interface)
- Tutorial | Forecasting Time Series (Plugin)
- Tutorial | Forecasting time series data with R and Dataiku
- Tutorial | Deep learning for time series
- Tutorial | Statistical analysis on time series data
- Tutorial | Export preprocessed data (for time series models)