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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