Management
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Inferential and Predictive Statistics for Business

Course Cover

5

(8)

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Course Features

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Duration

19 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

19 hours

Course Description

This course will provide you with an analytical framework that will help you to evaluate key issues in a structured manner and equip you to manage uncertainties that can pervade or complicate business processes. The course will focus on statistical concepts that managers can use. It covers two main themes. First, it focuses on recognizing and describing the variations in all things. Second, it focuses on modeling and making decisions when these variations are present. These fundamental concepts will be reapplied in other classes and business settings. We will focus on how to interpret the results in a managerial and business setting.

Although you will learn some science behind the lessons, the emphasis will be on how to apply the methods. Excel will be used to create data sets that come from many disciplines. This will allow you to understand the application of statistics in a variety of settings. These concepts will be explained and then you will learn how to interpret the results. The course is part of the Gies College of Business online program, which includes the iMBA or iMSM. Learn more about admission into these programs and explore how your Coursera work can be leveraged if accepted into a degree program at https://degrees.giesbusiness.illinois.edu/idegrees/.

Course Overview

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Hypothesis Testing

Statistical Inference Based on Two Samples

Simple Linear Regression

Multiple Linear Regression

Course Instructors

Fataneh Taghaboni-Dutta, Ph.D., PMP

Clinical Professor of Business Administration

Fataneh Taghaboni-Dutta is a Professor of Business Administration the University of Illinois at Urbana-Champaign. She earned a Ph.D. in Industrial Engineering from the Purdue University and has been ...

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