Link to Content:

Machine Learning for Data Analysis

Created/Published/Taught by:

Coursera

Wesleyan University

Jen Rose

Lisa Dierker

Content Found Via:

Coursera

Free? Partially: Some Free Content, Some Paid

Cost Range:

$0.00 - $44.00

Tags: data analysis / machine learning

Difficulty Rating:

This course is 4 of 5 in the Data Analysis and Interpretation Specialization.

FromĀ Coursera:

“Are you interested in predicting future outcomes using your data? This course helps you do just that! Machine learning is the process of developing, testing, and applying predictive algorithms to achieve this goal. Make sure to familiarize yourself with course 3 of this specialization before diving into these machine learning concepts. Building on Course 3, which introduces students to integral supervised machine learning concepts, this course will provide an overview of many additional concepts, techniques, and algorithms in machine learning, from basic classification to decision trees and clustering. By completing this course, you will learn how to apply, test, and interpret machine learning algorithms as alternative methods for addressing your research questions.”

Recommended Prerequisites: Course 3: Regression Modeling in Practice

Go to Content: Machine Learning for Data Analysis

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