Time Series Preparation

Time Series Preparation

Learn how to prepare time series data with the Time Series Preparation plugin

About this course

 

Time Series Preparation is a course dedicated to the preparation of time series data in advance of analytics and modeling tasks.

It assumes a basic familiarity with datasets and recipes in Dataiku DSS and requires the Time Series Preparation plugin installed on the instance.

In the hands-on lessons, you will work with a dataset of T-shirt orders. After resampling the data, you will investigate patterns in intervals and calculate rolling aggregations, including those around global extrema.

 

Learning Objectives

At the end of this course, you will understand:

1 - Understand the various objectives of time series preparation

2 - Use each recipe in the Time Series Preparation plugin

- Resampling

- Interval Extraction

- Windowing

- Extrema Extraction

Course Properties

Course Title Time Series Preparation

Target Audience

Anyone with a basic understanding of Dataiku DSS and desire to work with time series data

Access Level

Free / included with registration

Estimated Time for Completion

150 Minutes

Completion Criteria

Pass all section waypoints with 65% and the course checkpoint with 80% 

Supplemental Materials (Y/N)

NONE

Knowledge Prerequisite(s)

Core Designer knowledge and Time Series Basics suggested

Technical Prerequisite(s)

Dataiku DSS - Version above 7.0.0 (FREE EDITION is enough);

Time Series Preparation Plugin installed on the instance

Course Notes

Screencasts and Hands-On lessons use Dataiku DSS 8.0

Begin by watching the course overview video!

Curriculum150 min

  • Course Introduction
  • Preview
    Course Introduction: Time Series Preparation 1 min
  • Time Series Preparation
  • Concept: Time Series Preparation 3 min
  • Concept Summary: Time Series Preparation 3 min
  • Hands-On: Visualizing Time Series Data 6 min
  • Quiz: Time Series Preparation 2 min
  • Resampling
  • Concept: Resampling 3 min
  • Concept Summary: Resampling 4 min
  • Hands-On: Resampling 6 min
  • Quiz: Resampling 2 min
  • Interval Extraction
  • Concept: Interval Extraction Pt 1 6 min
  • Concept Summary: Interval Extraction Pt 1 5 min
  • Concept: Interval Extraction Pt 2 10 min
  • Concept Summary: Interval Extraction Pt 2 5 min
  • Concept: Interval Extraction Pt 3 5 min
  • Concept Summary: Interval Extraction Pt 3 5 min
  • Hands-On: Interval Extraction 5 min
  • Quiz: Interval Extraction 2 min
  • Windowing
  • Concept: Windowing Pt 1 9 min
  • Concept Summary: Windowing Pt 1 7 min
  • Concept: Windowing Pt 2 6 min
  • Concept Summary: Windowing Pt 2 6 min
  • Concept: Windowing Pt 3 3 min
  • Concept Summary: Windowing Pt 3 3 min
  • Hands-On: Windowing 8 min
  • Quiz: Windowing 2 min
  • Extrema Extraction
  • Concept: Extrema Extraction 7 min
  • Concept Summary: Extrema Extraction 5 min
  • Hands-On: Extrema Extraction 8 min
  • Quiz: Extrema Extraction 2 min
  • Wrap Up
  • Course Checkpoint: Time Series Preparation 5 min
  • Tell Us What You Think: Time Series Preparation 1 min
  • Course Complete: Time Series Preparation 1 min

About this course

 

Time Series Preparation is a course dedicated to the preparation of time series data in advance of analytics and modeling tasks.

It assumes a basic familiarity with datasets and recipes in Dataiku DSS and requires the Time Series Preparation plugin installed on the instance.

In the hands-on lessons, you will work with a dataset of T-shirt orders. After resampling the data, you will investigate patterns in intervals and calculate rolling aggregations, including those around global extrema.

 

Learning Objectives

At the end of this course, you will understand:

1 - Understand the various objectives of time series preparation

2 - Use each recipe in the Time Series Preparation plugin

- Resampling

- Interval Extraction

- Windowing

- Extrema Extraction

Course Properties

Course Title Time Series Preparation

Target Audience

Anyone with a basic understanding of Dataiku DSS and desire to work with time series data

Access Level

Free / included with registration

Estimated Time for Completion

150 Minutes

Completion Criteria

Pass all section waypoints with 65% and the course checkpoint with 80% 

Supplemental Materials (Y/N)

NONE

Knowledge Prerequisite(s)

Core Designer knowledge and Time Series Basics suggested

Technical Prerequisite(s)

Dataiku DSS - Version above 7.0.0 (FREE EDITION is enough);

Time Series Preparation Plugin installed on the instance

Course Notes

Screencasts and Hands-On lessons use Dataiku DSS 8.0

Begin by watching the course overview video!

Curriculum150 min

  • Course Introduction
  • Preview
    Course Introduction: Time Series Preparation 1 min
  • Time Series Preparation
  • Concept: Time Series Preparation 3 min
  • Concept Summary: Time Series Preparation 3 min
  • Hands-On: Visualizing Time Series Data 6 min
  • Quiz: Time Series Preparation 2 min
  • Resampling
  • Concept: Resampling 3 min
  • Concept Summary: Resampling 4 min
  • Hands-On: Resampling 6 min
  • Quiz: Resampling 2 min
  • Interval Extraction
  • Concept: Interval Extraction Pt 1 6 min
  • Concept Summary: Interval Extraction Pt 1 5 min
  • Concept: Interval Extraction Pt 2 10 min
  • Concept Summary: Interval Extraction Pt 2 5 min
  • Concept: Interval Extraction Pt 3 5 min
  • Concept Summary: Interval Extraction Pt 3 5 min
  • Hands-On: Interval Extraction 5 min
  • Quiz: Interval Extraction 2 min
  • Windowing
  • Concept: Windowing Pt 1 9 min
  • Concept Summary: Windowing Pt 1 7 min
  • Concept: Windowing Pt 2 6 min
  • Concept Summary: Windowing Pt 2 6 min
  • Concept: Windowing Pt 3 3 min
  • Concept Summary: Windowing Pt 3 3 min
  • Hands-On: Windowing 8 min
  • Quiz: Windowing 2 min
  • Extrema Extraction
  • Concept: Extrema Extraction 7 min
  • Concept Summary: Extrema Extraction 5 min
  • Hands-On: Extrema Extraction 8 min
  • Quiz: Extrema Extraction 2 min
  • Wrap Up
  • Course Checkpoint: Time Series Preparation 5 min
  • Tell Us What You Think: Time Series Preparation 1 min
  • Course Complete: Time Series Preparation 1 min