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Predictive Modeling and Analytics

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4.5

(8)

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Course Features

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Duration

11 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

11 hours

Course Description

This is the second course of the Data Analytics for Business specialization.

This course will teach you about some of the most popular predictive modeling techniques as well as their core principles. This course will give you a solid foundation in predictive analytics. It is a collection of tools and techniques that allow you to build statistical or machine-learning models to make predictions from data. This course will teach you how to perform exploratory data analysis in order to gain insight and prepare data to be used for predictive modeling. This is a valuable skill that businesses value. Learn how to summarise and visualize data using plots, so you can present your results in an engaging and meaningful manner. We will be using XLMiner, an Excel plug-in that allows us to use predictive modeling software. Anyone who is interested in using data to make better business decisions and gain insight is welcome to take this course. These techniques can be applied to all areas of business, including finance, accounting, marketing, operations, strategic planning, and human resource management. This course requires basic statistics and Excel knowledge.

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

Regression Analysis

Data Cleansing

Predictive Modelling

Exploratory Data Analysis

Course Instructors

Dan Zhang

Professor

Dan Zhang is Associate Professor of Operations Management at Leeds School of Business, University of Colorado Boulder. Dr. Zhang teaches in the area of operations management and data analytics in und...

Course Reviews

Average Rating Based on 8 reviews

4.5

88%

13%

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