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Creating Features for Time Series Data

本课程是 Analyzing Time Series and Sequential Data 专项课程的一部分

位教师：Chip Wells

2,033 人已注册

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7个模块

深入了解一个主题并学习基础知识。

中级等级

需要一些相关经验

1 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

7个模块

深入了解一个主题并学习基础知识。

中级等级

需要一些相关经验

1 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

您将获得的技能

您将学习的工具

要了解的详细信息

可分享的证书

添加到您的领英档案

作业

18 项作业

授课语言：英语（English）

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积累特定领域的专业知识

本课程是 Analyzing Time Series and Sequential Data 专项课程专项课程的一部分

在注册此课程时，您还会同时注册此专项课程。

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该课程共有7个模块

This course focuses on data exploration, feature creation, and feature selection for time sequences. The topics discussed include binning, smoothing, transformations, and data set operations for time series, spectral analysis, singular spectrum analysis, distance measures, and motif analysis.

In this course you learn to perform motif analysis and implement analyses in the spectral or frequency domain. You also discover how distance measures work, implement applications, explore signal components, and create time series features. This course is appropriate for analysts with a quantitative background as well as domain experts who would like to augment their time-series tool box. Before taking this course, you should be comfortable with basic statistical concepts. You can gain this experience by completing the Statistics with SAS course. Familiarity with matrices and principal component analysis are also helpful but not required.

单元详情

In this module you get an overview of the courses in this specialization and what you can expect.

涵盖的内容

1个视频1篇阅读材料

In this module you learn about the scope of this course and you access the software and files you will use for practices in the course.

涵盖的内容

1个视频4篇阅读材料1个应用程序项目

In this module, you learn about converting transactional sequences to time series. Other topics include exploring signal components in time series via decompositions and binning, and creating new time series features.

涵盖的内容

13个视频4个作业1个应用程序项目

13个视频总计28分钟

Introduction to Time Series1分钟
Time Series Data Creation2分钟
Selecting an Interval for Accumulation, Part 11分钟
Selecting an Interval for Accumulation, Part 22分钟
Demo: Accumulating Transactional Data to Time Series4分钟
Summary Measures on Time Series0分钟
Demo: Exploring Time Series Summary Characteristics3分钟
Binning Time Series1分钟
Demo: Exploring Time Series Using Binning3分钟
Signal versus Noise1分钟
Signal Types and Decompositions4分钟
Demo: Decompositions Using the TSA Package4分钟
Demo: Feature Creation Using the DATA Step-like Syntax in the TSMODEL Procedure2分钟

4个作业总计95分钟

Think About It - Handling Missing Values5分钟
Practice: Exploring and Accumulating a Time Series30分钟
Practice: Creating Smoothed Representations of Time Series30分钟
Practice: Performing a Decomposition Analysis30分钟

1个应用程序项目总计5分钟

Open SAS Viya for Learners to Practice in this Module5分钟

In this module you learn about the usefulness of distance or similarity measures between time series. Calculated distance measure are used as the basis in two analyses.

涵盖的内容

8个视频5个作业1个应用程序项目

8个视频总计20分钟

Introduction to Distance Measures for Time Series2分钟
Measuring Sequence Similarity2分钟
Direct Mapping and Time Warping2分钟
Demo: An Example of Time Warping and Relative Path Costs5分钟
Demo: Time Series Clustering4分钟
Introduction to Symbolic Representation of Sequences1分钟
The Symbolic Aggregate ApproXimation (SAX)1分钟
Demo: SAX Distance for Input Variable Ranking Based on Similarity to the Target3分钟

5个作业总计75分钟

Question - Evaluating Paths5分钟
Question - Warping5分钟
Think About It - SAX Word Sequences5分钟
Practice: Performing a Similarity Analysis, Part 130分钟
Practice: Performing a Similarity Analysis, Part 230分钟

1个应用程序项目总计5分钟

Open SAS Viya for Learners to Practice in this Module5分钟

In this module, we discuss and illustrate the basic ideas and applications in frequency domain analysis. We also discuss SSA and present demonstrations of applied SSA.