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Building a Large-Scale, Automated Forecasting System
  • Level Professional
  • المدة 10 ساعات hours
  • الطبع بواسطة SAS
  • Offered by

عن

In this course you learn to develop and maintain a large-scale forecasting project using SAS Visual Forecasting tools. Emphasis is initially on selecting appropriate methods for data creation and variable transformations, model generation, and model selection. Then you learn how to improve overall baseline forecasting performance by modifying default processes in the system. This course is appropriate for analysts interested in augmenting their machine learning skills with analysis tools that are appropriate for assaying, modifying, modeling, forecasting, and managing data that consist of variables that are collected over time. The courses is primarily syntax based, so analysts taking this course need some familiarity with coding. Experience with an object-oriented language is helpful, as is familiarity with manipulating large tables.

الوحدات

Welcome

    • 1 Videos
    • 1 Readings
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1 Videos

  • Overview

1 Readings

  • Getting the Most from this Specialization

Course Overview

    • 1 Videos
    • 2 Readings
    • 1 ExternalTool
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1 External Tool

  • Access the Virtual Lab

1 Videos

  • Welcome to the course

2 Readings

  • Prerequisites
  • Accessing the Course Files and Practicing in this Course (UPDATED for Virtual Lab)

Module Overview

    • 1 Videos
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1 Videos

  • About This Module

The Large-Scale Forecasting Problem

    • 2 Videos
    • 1 Assignment
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1 Assignment

  • Think About It: Large-Scale Forecasting Systems

2 Videos

  • Large-Scale Forecasting
  • Analysts and Algorithms

Forecasting System Overview

    • 3 Videos
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3 Videos

  • ATSM Package Objects
  • Objects and Information Flows
  • Other Useful Configurations

Module Overview

    • 1 Videos
    • 1 ExternalTool
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1 External Tool

  • Access the Virtual Lab

1 Videos

  • About This Module

Accumulation: Transforming Transactional Data into Time Series Data

    • 4 Videos
    • 1 Assignment
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1 Assignment

  • Question - Accumulation Methods

4 Videos

  • Time Series Accumulation
  • Time Binning and Indexing
  • Accumulation in the TSMODEL Procedure
  • Demo: Accumulation Using the TSMODEL Procedure

Handling Missing and Zero-Valued Intervals

    • 3 Videos
    • 1 Assignment
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1 Assignment

  • Think About It - Missing Value Interpretation and Imputation

3 Videos

  • Missing Value Interpretation
  • Missing Value Imputation
  • Demo: Missing Value Interpretation and Imputation

Aggregation: Building the Data Hierarchy

    • 3 Videos
    • 3 Assignment
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3 Assignment

  • Question - PROC TSMODEL
  • Practice: Explore and Accumulate a Time Series
  • Practice: Build the Data Hierarchy

3 Videos

  • Time Series Aggregation
  • Building the Data Hierarchy in TSMODEL
  • Demo: Using PROC TSMODEL to Create the Data Hierarchy

Packages for TSMODEL

    • 2 Videos
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2 Videos

  • PROC TSMODEL Packages
  • Using PROC TSMODEL Packages

Overview

    • 2 Videos
    • 1 ExternalTool
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1 External Tool

  • Access the Virtual Lab

2 Videos

  • About This Module
  • Introduction to ATSM Objects

Automatic Model Specification

    • 3 Videos
    • 1 Assignment
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1 Assignment

  • Question - System Model Types

3 Videos

  • The DIAGSPEC Object
  • DIAGSPEC Object Methods
  • The DIAGNOSE Object

Automatic Forecast Generation

    • 3 Videos
    • 1 Assignment
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1 Assignment

  • Practice: Generate an Automatic Forecast

3 Videos

  • The FORENG Object
  • Collector Objects
  • Demo: Automatic Model Selection Using the ATSM Package

Overview

    • 2 Videos
    • 1 ExternalTool
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1 External Tool

  • Access the Virtual Lab

2 Videos

  • About This Module
  • Custom Models and the TSM Package

The Time Series Model (TSM) Package

    • 3 Videos
    • 1 Assignment
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1 Assignment

  • Think About It - Explanatory Variables

3 Videos

  • The TSM Package
  • TSM Package Syntax Highlights
  • Demo: Creating and Fitting a Custom Specification with the TSM Package

Adding Custom Models to the Automatic Forecasting System

    • 2 Videos
    • 1 Assignment
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1 Assignment

  • Practice: Create a Custom Model

2 Videos

  • Adding Custom Models
  • Demo: Combining Custom and System-Generated Models in the Model Selection Process

Overview

    • 1 Videos
    • 1 ExternalTool
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1 External Tool

  • Access the Virtual Lab

1 Videos

  • About This Module

introduction to Event Variables

    • 2 Videos
    • 1 Assignment
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1 Assignment

  • Think About It - Event Variables

2 Videos

  • Introduction to Event Variables
  • Event Variables in SAS Visual Forecasting

Creating Event Variables in the ATSM Package

    • 3 Videos
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3 Videos

  • Creating Event Variables in the ATSM Package
  • Implementing Event Variables Defined in the ATSM Package
  • Demo: Creating and Implementing Event Variables in the ATSM Package

Creating Event Variables with the HPFEVENTS Procedure

    • 3 Videos
    • 1 Assignment
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1 Assignment

  • Question - HPFEVENTS Procedure

3 Videos

  • Creating Event Variables in the HPFEVENTS Procedure
  • Implementing Event Variables Defined in the HPFEVENTS Procedure
  • Demo: Creating Event Variables in the HPFEVENTS Procedure and Implementing Them in the ATSM Package

BY-Group Processing for Event Variables

    • 3 Videos
    • 2 Assignment
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2 Assignment

  • Practice: Create Event Variables Using EVENTKEY Methods
  • Practice: Accommodate Event Variables as Candidate Explanatory Variables

3 Videos

  • BY-Group Functionality
  • Implementing BY-Group Processing for Event Variables
  • Demo: BY-Group Processing for Event Variables

Overview and Introduction

    • 2 Videos
    • 1 ExternalTool
    • 1 Assignment
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1 Assignment

  • Think About It - Reconciling Statistical Forecasts

1 External Tool

  • Access the Virtual Lab

2 Videos

  • About This Module
  • Reconciliation Basics

Basic Forecast Reconciliation

    • 2 Videos
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2 Videos

  • Performing Basic Forecast Reconciliation
  • Demo: Top-Down Reconciliation Using the TSRECONCILE Procedure

Disaggregation Methods

    • 1 Videos
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1 Videos

  • Performing Disaggregation

Bottom-Up Reconciliation

    • 2 Videos
    • 1 Assignment
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1 Assignment

  • Practice: Reconcile Statistical Forecasts

2 Videos

  • Performing Bottom-Up Reconciliation
  • Demo: Performing Bottom-Up Reconciliation

Overview

    • 1 Videos
    • 1 ExternalTool
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1 External Tool

  • Access the Virtual Lab

1 Videos

  • About This Module

Honest Assessment and Baseline Performance

    • 4 Videos
    • 1 Assignment
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1 Assignment

  • Question - Honest Assessment for Model Selection

4 Videos

  • Holdout Sample Model Selection
  • Holdout Partitioning
  • Performance Measures
  • Demo: Implementing Honest Assessment for Model Selection and Creating Benchmark Accuracy Diagnostics

Combined Model Forecasts

    • 2 Videos
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2 Videos

  • Combined Models
  • Demo: Adding Combined Models to the Forecasting System

Outlier Detection

    • 2 Videos
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2 Videos

  • Outlier Detection
  • Demo: Adding Outlier Detection to the Forecasting System

Conditional Processing and Error Catching

    • 2 Videos
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2 Videos

  • Conditional Processing
  • Demo: Conditional Processing and Error Catching

Rolling the Forecasting System Forward in Time

    • 3 Videos
    • 1 Assignment
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1 Assignment

  • Practice: Generating Best Forecasts

3 Videos

  • Rolling the Forecasting System Forward in Time
  • Stability and Updating Models
  • Demo: Rolling the System Forward in Time

Review Quiz

    • 1 Assignment
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1 Assignment

  • Building a Large-Scale, Automated Forecasting System - Course Exam

Auto Summary

Enhance your machine learning skills with "Building a Large-Scale, Automated Forecasting System," a professional course by Coursera. Focused on Big Data and Analytics, you'll master SAS Visual Forecasting tools for data creation, model generation, and improving forecasting performance. Ideal for analysts with coding experience, the 600-minute course offers Starter and Professional subscriptions. Join to excel in managing time-series data!

Jay Laramore
Instructors

Jay Laramore

Marc Huber
Instructors

Marc Huber

Chip Wells
Instructors

Chip Wells