Demand Forecasting Using Time Series
$49
ENROLL NOWCourse Overview
What You'll Learn
- This course is the second in a specialization for Machine Learning for Supply Chain Fundamentals.
- In this course, we explore all aspects of time series, especially for demand prediction.
- We'll start by gaining a foothold in the basic concepts surrounding time series, including stationarity, trend (drift), cyclicality, and seasonality.
This course is the second in a specialization for Machine Learning for Supply Chain Fundamentals. In this course, we explore all aspects of time series, especially for demand prediction. We'll start by gaining a foothold in the basic concepts surrounding time series, including stationarity, trend (drift), cyclicality, and seasonality. Then, we'll spend some time analyzing correlation methods in relation to time series (autocorrelation). In the 2nd half of the course, we'll focus on methods for demand prediction using time series, such as autoregressive models. Finally, we'll conclude with a project, predicting demand using ARIMA models in Python.
Course FAQs
Is this an accredited online course?
Accreditation for 'Demand Forecasting Using Time Series' is determined by the provider, LearnQuest. For online college courses or degree programs, we strongly recommend you verify the accreditation status directly on the provider's website to ensure it meets your requirements.
Can this course be used for continuing education credits?
Many of the courses listed on our platform are suitable for professional continuing education. However, acceptance for credit varies by state and licensing board. Please confirm with your board and {course.provider} that this specific course qualifies.
How do I enroll in this online school program?
To enroll, click the 'ENROLL NOW' button on this page. You will be taken to the official page for 'Demand Forecasting Using Time Series' on the LearnQuest online class platform, where you can complete your registration.
