К содержимому
learnspaceYOUR NEXT CHAPTER
ПРОСТРАНСТВО ОБУЧЕНИЯ
ГлавнаяКаталог курсовМоё обучениеCoursera

Знания без границ

Учитесь у лучших университетов и компаний мира.

Открыть Coursera
Интеграция
Пространство университета
Моё пространствоСтраница курса
↵
ЯЛичный кабинетСтудент
© 2026 LearnSpaceКаждый день — возможность узнать больше.Помощь
Demand Analytics · LearnSpace
Назад в каталог
courseraБизнес

Demand Analytics

Курс от Rutgers the State University of New Jersey
Начальный≈ 12.8 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Welcome to Demand Analytics - one of the most sought-after skills in supply chain management and marketing! Through the real-life story and data of a leading cookware manufacturer in North America, you will learn the data analytics skills for demand planning and forecasting. Upon the completion of this course, you will be able to 1. Improve the forecasting accuracy by building and validating demand prediction models. 2. Better stimulate and influence demand by identifying the demand drivers (e.g., time, seasonality, price, and other environmental factors) and quantifying their impact. AK is a leading cookware manufacturer in North America. Its newly launched top-line product was gaining momentum in the marketplace. However, a price adjustment at the peak season stimulated a significant demand surge which took AK completely by surprise and resulted in huge backorders. AK faced the risk of losing the market momentum due to the upset customers and the high cost associated with over-time production and expedited shipping. Accurate demand forecast is essential for increasing revenue and reducing cost. Identifying the drivers for demand and assessing their impact on demand can help companies better influence and stimulate demand. I hope you enjoy the course!

Навыки, которые вы освоите

Regression AnalysisForecastingPredictive ModelingStatistical ModelingTrend AnalysisDemand PlanningModel EvaluationData ProcessingScatter PlotsData StorytellingSupply Chain PlanningExcel FormulasStatistical AnalysisExploratory Data AnalysisPredictive AnalyticsTime Series Analysis and ForecastingData ModelingMarketing AnalyticsData Visualization

Программа курса

4 модулей · 32 учебных материалов

01Welcome!7 материалов

The Story of AK MetalCrafters and Course Overview

The story of AK MetalCraftersВидеоCourse overviewВидеоIs this course right for me?Чтение

General Principles of Demand Planning and Forecasting

General principles of demand planning and forecastingВидео

Учитесь у экспертов

Yao Zhao

Professor

Demand Analytics
В каталоге вашей программы

Инвестируйте в себя

Новые знания — в удобное для вас время.

Начать на Coursera

Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 12.8 ч

4 модулей

Язык: Английский

Субтитры: Арабский, Французский, Бенгальский, Украинский, Китайский (Китай), Греческий, Итальянский, Бразильский португальский, Вьетнамский, Нидерландский, Корейский, Немецкий, Пушту, Урду, Русский, Тайский, Индонезийский, Шведский, Турецкий, Азербайджанский, Испанский, Дари, Хинди, Японский, Казахский, Венгерский, Польский

Часть программы вашего университета
Four Pillars of Demand Planning ExcellenceЧтение
General principles Задание
Demand planning and forecasting example(s)Обсуждение
02Predicting Trend10 материалов

The Basics of Statistical Forecasting Models

The basics of statistical forecasting modelsВидеоSoftware selection and preparationЧтение

Data Collection, Pre-processing and Visualization

Data collection, pre-processing and visualizationВидеоData visualization screencastВидеоThe visualization exampleЧтение

Build and Interpret a Linear Model

Build and interpret a linear modelВидеоBuild and interpret a linear model screencastВидеоBuild and interpret a linear model: exampleЧтение

Week 2 Assignment

Predicting trendЗаданиеData visualization and linear model buildingЗадание
03Predicting the Impact of Price and Other Environmental Factors7 материалов

Validate and Improve Forecasting Models

Model validation and improvementВидеоModel validation and improvementЗадание

Multiple regression for trend, price and other factors

Multiple regression for trend, price and other factorsВидеоMultiple regression screencastВидеоMultiple regression exampleЧтениеMultiple regressionЗаданиеBuild multiple regression model with trend and priceЗадание
04Predicting Seasonality8 материалов

Modeling and Formatting Categorical (Seasons) Variables

Categorical variable (seasonality) modeling and formattingВидеоCategorical variables exampleЧтениеModeling and formatting categorical variablesЗадание

Forecasting and Testing

Forecasting and testingВидеоForecasting and testing screencastВидеоForecasting and testing exampleЧтениеBuild a new seasonality model on your ownЗаданиеRecap - back to the futureОбсуждение