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
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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