Hands On Training

Forecasting Product Demand in R

DataCamp

(3)

Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

Video Content

4 hours

Course Description

Forecasting accurately the demand for products can help companies stay ahead of their competitors. Understanding the factors that influence demand will allow you to drive product behavior. This course will teach you how to predict product demand with R. By the end of the course, you will be able to predict demand for multiple products in any given region of the US. These forecasts will be combined across different regions of the state to create an hierarchical forecasting system.

Course Overview

Virtual Labs

International Faculty

Case Based Learning

Post Course Interactions

Case Studies,Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Case Studies: Manipulating Time Series Data in R

What You Will Learn

This course unlocks the process of predicting product demand through the use of R

You will learn how to identify important drivers of demand, look at seasonal effects, and predict demand for a hierarchy of products from a real world example

By the end of the course you will be able to predict demand for multiple products across a region of a state in the US

Course Content

Expand all sections

Module 1: Forecasting demand with time series

Module 2: Components of demand

Module 3: Blending regression with time series

Module 4: Hierarchical forecasting

Course Instructors

Aric LaBarr

Director and Senior Scientist at Elder Research

A Teaching Associate Professor in the Institute for Advanced Analytics, Dr. Aric LaBarr is passionate about helping people solve challenges using their data. There he helps design the innovative prog...

Course Reviews

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