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所在平台: Coursera专项课程 |
课程主页: https://www.coursera.org/specializations/time-series-sequential-data
课程评论：没有评论
课程名称：分析时间序列和顺序数据 课程概述： 本专业化课程通过使用SAS视觉预测及其他SAS工具，帮助学习者深入探索时间序列数据，创建及选择特征，建立和管理大规模的预测系统，并运用多种模型识别、估计和预测感兴趣的信号组件。 应用学习项目： 在本专业化的项目中，学习者将发现高价值序列中的信号组件，并为这些序列指定适当的自定义规范。所制定的自定义规范将纳入学习者创建的大规模预测系统中，以自动化模型生成、模型选择和预测过程。在此过程中，学习者需考虑重复事件和异常情况，以生成数据来完善该自动预测系统。 证书： 完成课程后可获得证书。 课程特点： - 100% 在线课程 - 可立即开始，按照自己的节奏学习 - 灵活的进度安排，可以设置并维护灵活的截止日期 - 中级水平，需具备SAS统计学的基本概念，对矩阵和主成分分析有一定了解会更有帮助 - 预计需要约7个月完成，建议每周学习1小时 - 课程提供英语授课，附有英语字幕 课程大纲： 1. [为时间序列数据创建特征](https://www.coursera.org/learn/time-series-features) - 由SAS提供，重点关注数据探索、特征创建和特征选择。 2. [构建大规模自动化预测系统](https://www.coursera.org/learn/large-scale-forecasting-sas-viya) - 由SAS提供，学习使用SAS视觉预测工具开发和维护大规模预测项目。 3. [时间序列和顺序数据建模](https://www.coursera.org/learn/modeling-time-series-and-sequential-data) - 由SAS提供，学习构建、完善、外推和解读设计用于单一序列数据的模型。 通过该课程，学习者将能够在时间序列分析和预测领域获得实用技能，助力职业发展。
Course Link: https://www.coursera.org/learn/time-series-features
Name:Creating Features for Time Series Data
Description:Offered by SAS. This course focuses on data exploration, feature creation, and feature selection for time sequences. The topics discussed ... Enroll for free.
Course Link: https://www.coursera.org/learn/large-scale-forecasting-sas-viya
Name:Building a Large-Scale, Automated Forecasting System
Description:Offered by SAS. In this course you learn to develop and maintain a large-scale forecasting project using SAS Visual Forecasting tools. ... Enroll for free.
Course Link: https://www.coursera.org/learn/modeling-time-series-and-sequential-data
Name:Modeling Time Series and Sequential Data
Description:Offered by SAS. In this course you learn to build, refine, extrapolate, and, in some cases, interpret models designed for a single, ... Enroll for free.
About this Specialization
Using SAS Visual Forecasting and other SAS tools, you will learn to explore time series, create and select features, build and manage a large-scale forecasting system, and use a variety of models to identify, estimate and forecast signal components of interest.
Applied Learning Project
In this specialization’s project, learners will discover signal components in high value series then specify custom specifications appropriate for these series. These custom specifications are incorporated into a large scale forecasting system that learners create to automate the process of model generation, model selection and forecasting. Learners accommodate recurrent events and anomalies in the process generating the data to refine the automatic forecasting system .
Shareable Certificate
Shareable Certificate
Earn a Certificate upon completion
100% online courses
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Flexible Schedule
Set and maintain flexible deadlines.
Intermediate Level
Intermediate Level
Comfortability with basic statistical concepts from
Statistics with SAS
. Familiarity with matrices and principal components analysis is helpful.
Hours to complete
Approximately 7 months to complete
Suggested pace of 1 hour/week
Available languages
English
Subtitles: English
Shareable Certificate
Shareable Certificate
Earn a Certificate upon completion
100% online courses
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Flexible Schedule
Set and maintain flexible deadlines.
Intermediate Level
Intermediate Level
Comfortability with basic statistical concepts from
Statistics with SAS
. Familiarity with matrices and principal components analysis is helpful.
Hours to complete
Approximately 7 months to complete
Suggested pace of 1 hour/week
Available languages
English
Subtitles: English
