Analyzing Time Series and Sequential Data provided by Coursera is a comprehensive online course, which lasts for 30 weeks long, 1 hour a week. Analyzing Time Series and Sequential Data is taught by Ari Zitin, Chip Wells, Danny Modlin, George Fernandez, Jay Laramore and Marc Huber. Upon completion of the course, you can receive an e-certificate from Coursera. The course is taught in Englishand is Paid Course. Visit the course page at Coursera for detailed price information.
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.
Course 1: Creating Features for Time Series Data
- Offered by SAS. This course focuses on data exploration, feature creation, and feature selection for time sequences. The topics discussed ... Enroll for free.
Course 2: Building a Large-Scale, Automated Forecasting System
- 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 3: Modeling Time Series and Sequential Data
- 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.
