Machine Learning for Data Analysis

Course Cover

5

(8)

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Course Features

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Duration

10 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

10 hours

Course Description

Are you looking to predict the future with your data? This course will teach you how to do just that. Machine learning is the process of developing, testing, and applying predictive algorithms to achieve this goal. Review course 3 before you start to explore machine learning concepts. This course expands on Course 3 and introduces students integral-supervised machine learning concepts. This course will provide an overview of many other concepts, techniques, and algorithms in machine intelligence. It includes basic classification, decision trees, and clustering. This course will help you to apply, test, and interpret machine learning algorithms to answer your research questions.

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

How to apply, test, and interpret machine learning algorithms

Alternative methods for addressing your research questions

Course Instructors

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Jen Rose

Research Professor

Instructor at the Wesleyan University
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Lisa Dierker

Professor

Lisa Dierker is a Professor of Psychology at Wesleyan University with training in chronic disease epidemiology. With expertise in the application of innovative statistical methods, she has spent her ...

Course Reviews

Average Rating Based on 8 reviews

5.0

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