- Level Professional
- المدة 4 ساعات hours
- الطبع بواسطة Coursera Project Network
-
Offered by
عن
This Guided Project Demand Planning in RStudio: Create Demand Forecast is for Supply Chain and/or Operations Analysts. In this 2-hour long project-based course, you will learn how: - Analyse demand data and cateogorise products based on trend and seasonality - Model demand data and create demand forecast for a given number of forecasting periods. - Diagnose the demand model; evaluate the forecast; plot and export the output. Benefit: Creating reasonably accurate forecasts enables businesses to make efficient production plans, determine optimal inventory policies, make effective pricing decisions, and achieve better customer satisfaction. Prerequisites: 1. Basic R language (variables, vectors, data frames) 2. Familiarity with RStudio interface 3. Basic overview of Supply Chains / Operationsالوحدات
Your Learning Journey
1
Assignment
- Assess Your Knowledge
1
Labs
- Demand Planning in RStudio: Create Demand Forecast
2
Readings
- Project Overview
- R Script File, Demand Data & Slides
Auto Summary
Unlock the potential of demand forecasting with the "Demand Planning in RStudio: Create Demand Forecast" course, designed specifically for Supply Chain and Operations Analysts. This engaging, project-based course spans 2 hours and delves into key techniques for analyzing demand data, categorizing products based on trends and seasonality, and creating accurate demand forecasts for various periods. Under the expert guidance of Coursera, learners will gain hands-on experience in modeling demand data, evaluating forecasts, and exporting results, all within the RStudio environment. This intermediate-level course is perfect for those with a basic understanding of R language, RStudio interface, and supply chain operations. By mastering these skills, participants can help businesses enhance production plans, optimize inventory policies, make informed pricing decisions, and improve overall customer satisfaction. Enroll now for free and take a significant step towards becoming proficient in demand planning and forecasting.

Moses Gummadi