Building a Large-Scale, Automated Forecasting System

This course is part of Analyzing Time Series and Sequential Data Specialization

Instructors: Jay Laramore +2 more

Skills you'll gain

  •   Object Oriented Programming (OOP)
  •   Data Processing
  •   Predictive Modeling
  •   Data Manipulation
  •   Statistical Methods
  •   SAS (Software)
  •   Anomaly Detection
  •   Time Series Analysis and Forecasting
  •   Forecasting
  •   Data Transformation
  •   Automation
  • There are 10 modules in this course

    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.

    Course Overview

    Introduction to Large-Scale Forecasting

    Exploring and Processing Timestamped Data

    Automatic Forecasting: Model Specification and Selection

    Creating Custom Models and Managing Model Lists

    Event Variables in the Forecasting System

    Reconciling Statistical Forecasts

    Setting Up the Forecasting System and Generating Best Forecasts

    Course Review

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