Capstone Project: Predicting Safety Stock
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.
Monthly Subscription Starting at AED 99 + VAT
- Level Professional
- Duration 10 hours
- Course by LearnQuest
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Offered by
About
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.Modules
Course Introduction
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3
Videos
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1
Discussion
1
Discussions
- Welcome to the Course!
3
Videos
- Welcome to the Course!
- Setting Up the Environment
- Module Intro
Part I: EDA with Pandas
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1
Videos
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1
Discussion
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1
Lab
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1
Programming
- Part I: EDA with Pandas
1
Discussions
- More EDA (Optional)
1
Labs
- Programming Assignment Solutions
1
Videos
- Introduction to Part I
Part II: Using SARIMA for Sales Predictions
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2
Videos
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1
Readings
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1
Lab
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1
Programming
- Part II: Using SARIMA for Sales Predictions
1
Labs
- Programming Assignment Solutions
2
Videos
- Module Intro
- Introduction to Part II
1
Readings
- SARIMA model in Python
Part III: Predicting Safety Stock
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2
Videos
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1
Lab
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1
Programming
- Part III: Predicting Safety Stock
1
Labs
- Programming Assignment Solutions
2
Videos
- Module Intro
- Introduction to Part III
Auto Summary
This professional-level course, led by Coursera, focuses on predicting product usage and calculating optimal safety stock in the Data Science & AI domain. Over 600 minutes, learners will analyze shoe sales data, employ SARIMA models for forecasting, and fine-tune model parameters. The course offers unique insights into data grouping and comparison, ensuring practical, actionable skills. Subscription options include Starter and Professional tiers, making it ideal for data science professionals seeking to enhance their predictive analytics capabilities.
Rajvir Dua
Neelesh Tiruviluamala