Overview
Context
Accurately predicting demand for products allows a company to stay ahead of the market. By knowing what things shape demand, you can drive behaviors around your products better.
This Forecasting Product Demand in R course offered by Data Camp unlocks the process of predicting product demand through the use of R.
By the end of the course you will be able to predict demand for multiple products across a region of a state in the US. Then you will roll up these predictions across many different regions of the same state to form a complete hierarchical forecasting system.
Programme Structure
Chapter
- Forecasting demand with time series
- Components of demand
- Blending regression with time series
- Hierarchical forecasting
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
Language
Delivered
Campus Location
- New York City, United States
Disciplines
Statistics View 110 other Short Courses in Statistics in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- This course is designed for learners of all levels of experience, from beginner to experienced. All the necessary concepts and tools will be explained in detail, so you don't need any prior knowledge.
PREREQUISITES
- Case Study: Analyzing City Time Series Data in R
Tuition Fees
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
-
Domestic
Applies to youIn-StateFree
Additional Details
This course can be accessed for free with the Data Camp Premium or Teams subscriptions