Statistics for Business Analytics 3: Modelling and Forecasting
About this Course
We consider questions like these across three topics: Topic 1 starts with simple, familiar ideas like correlation and builds on these to consider how simple linear regression can be applied to quantify the relationships between variables. Topic 2 examines multiple linear regression and considers how we can establish models that allow us to predict values for variables of interest in circumstances where there are many variables at work. Topic 3 considers the details of time series forecasting , using different methods of trend fitting to make predictions about future data.Created by: The University of Queensland
Level: Introductory
Related Online Courses
Durante las últimas décadas se ha producido un desarrollo explosivo en las tecnologías de almacenamiento y procesamiento de datos y por tanto un incremento en los volúmenes de información para ser ... more
A typical data analysis project may involve several parts, each including several data files and different scripts with code. Keeping all this organized can be challenging. Part of our... more
La ciencia de datos es un área que hoy ofrece herramientas analíticas muy poderosas a las organizaciones; aquellas que han incorporado estas prácticas rápidamente han podido obtener ventajas com... more
In autonomous vehicles such as self-driving cars, we find a number of interesting and challenging decision-making problems. Starting from the autonomous driving of a single vehicle, to the... more
Decisions made by humans are rarely made by data alone. Human decision-makers have cognitive biases, are affected by emotions, and make conceptual leaps beyond what the data may suggest. The best... more