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Capstone Project: Predicting Safety Stock 

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Capstone Project: Predicting Safety Stock
 at 
Coursera 
Overview

Duration

10 hours

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Total fee

Free

Mode of learning

Online

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Credential

Certificate

Capstone Project: Predicting Safety Stock
 at 
Coursera 
Highlights

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Capstone Project: Predicting Safety Stock
 at 
Coursera 
Course details

More about this course
  • In this course, we'll make predictions on product usage and calculate optimal safety stock storage.
  • We'll start with a time series of shoe sales across multiple stores on three different continents. To begin, we'll look for unique insights and other interesting things we can find in the data by performing groupings and comparing products within each store. Then, we'll use a seasonal autoregressive integrated moving average (SARIMA) model to make predictions on future sales.
  • In addition to making predictions, we'll analyze the provided statistics (such as p-score) to judge the viability of using the SARIMA model to make predictions.
  • Then, we'll tune the hyper-parameters of the model to garner better results and higher statistical significance.
  • Finally, we'll make predictions on safety stock by looking to the data for monthly usage predictions and calculating safety stock from the formula involving lead times.
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Capstone Project: Predicting Safety Stock
 at 
Coursera 
Curriculum

Exploratory Data Analysis Using Pandas and Groupby

Welcome to the Course!

Setting Up the Environment

Module Intro

Introduction to Part I

Demand Predictions Using SARIMA

Module Intro

Introduction to Part II

SARIMA model in Python

Calculating Safety Stock

Module Intro

Introduction to Part III

Capstone Project: Predicting Safety Stock
 at 
Coursera 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

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    Capstone Project: Predicting Safety Stock
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