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
Statistics 1 Part 1 is a self-paced course from LSE which aims to introduce you to and develop your understanding of essential statistical concepts, methods and techniques, emphasising the... more
In this course, you will learn about the Grammar of Graphics, a system for describing and building graphs, and how the ggplot2 data visualization package for R applies this concept to basic bar... more
Causal diagrams have revolutionized the way in which researchers ask: What is the causal effect of X on Y? They have become a key tool for researchers who study the effects of treatments,... more
If you have specific questions about this course, please contact us at sds-mm@mit.edu. Data science requires multi-disciplinary skills ranging from mathematics, statistics, machine learning,... more
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