Business and Economics
Learn how to identify important drivers of demand, look at seasonal effects, and predict demand for a hierarchy of products from a real world example.
Accurate prediction of product demand is crucial for companies to maintain a competitive edge in the market. Understanding the factors that influence demand enables businesses to effectively shape consumer behavior towards their products. This course offers a comprehensive guide to predicting product demand using the R programming language. Participants will gain the skills to identify key drivers of demand, analyze seasonal effects, and forecast demand for a range of products based on a real-world case study. By the end of the course, participants will be proficient in predicting demand for multiple products across a specific region within a US state. Furthermore, they will learn how to aggregate these predictions across various regions within the same state, creating a comprehensive hierarchical forecasting system.
by DataCamp
Learn how to identify important drivers of demand, look at seasonal effects, and predict demand for...
by DataCamp
Learn how to make predictions about the future using time series forecasting in R including ARIMA mo...
by DataCamp
Step into the role of CFO and learn how to advise a board of directors on key metrics while building...
by DataCamp
Visualize seasonality, trends and other patterns in your time series data.
by DataCamp
Learn about ARIMA models in Python and become an expert in time series analysis.
by DataCamp
Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series d...
by DataCamp
Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.
by DataCamp
Take your reporting skills to the next level with Tableau’s built-in statistical functions.