Forecasting Product Demand in R

Starting at USD 39.00
4 hours duration

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.

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DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.
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