Chevron Left
Back to Machine Learning for Data Analysis

Learner Reviews & Feedback for Machine Learning for Data Analysis by Wesleyan University

322 ratings

About the Course

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....

Top reviews


May 6, 2020

Clear and explanatory approach to the object. Instructors have great teaching transmissibility.


Oct 4, 2016

Very good course. I recommend to anyone who's interested in data analysis and machine learning.

Filter by:

26 - 50 of 67 Reviews for Machine Learning for Data Analysis

By Thomas C K

Oct 11, 2016

Great Class!

By Amrutha K A

Sep 27, 2020



Sep 16, 2020

very good

By Jyoti P K

Sep 9, 2020


By Тефикова А Р

Mar 20, 2018

все супер

By Tejas G

Aug 31, 2020

nice one

By Artem S A

Apr 14, 2016


By Steven L

Aug 30, 2017


By Sharath C S

Sep 25, 2020


By keerthana G

Sep 21, 2020


By Mansi S G

Aug 24, 2020


By Mathilde v E

Jul 21, 2016


By Shreyans J

Jun 27, 2019

It is definitely a good one and easy to understand... What I mostly struggled was with the data sets which were hard to find... probably if some data sets would have been provided would have really helped - would have been easier to run the program through with multiple sets and see the best results across.

Essentially the major learning happens when you actually run it on your own (for which you may have to go back and forth with the instructors examples / teachings.

By Michael B

Jan 3, 2017

Excellent introductory course on machine learning focusing on simple linear and multiple regression, lasso regression and k-means clustering. A background in Python programming is useful but not required as the instructors discuss the techniques with annotated code examples.

By Christine R

Aug 15, 2017

I definitely appreciate this information on Machine Learning. And from an outsider perspective would say it is quite clear - when I put it into practice will see how it goes. I do like the video format and will say that through out the course the instructor

By Manikanta K

Apr 27, 2020

Since it is a part of a specialization, the topics start somewhere in between and is only recommended for those who have completed the previous courses with in these specialization.

By Mengyue S

Mar 21, 2016

More examples in coding and results are expected. So it is more convenient for students to compare different results and understand deeper


Jan 6, 2018

More Implementation oriented and less math

also contains distracting background videos when explaining important concepts

By Oriana A

Mar 21, 2017

Very good. I enjoyed doing it and learned a lot.

I would have liked that it had included r as one of the softwares.

By Leonardo A

Oct 31, 2016

Excellent course, some basic tecniques of Machine Learning are implemented in Python and SAS.

By Ivan C

Mar 3, 2016

I would like to have an opportunity to contact my reviews.

By Drew M

Oct 13, 2018

Learned some really useful ML models.

By Kailas R

Aug 18, 2020

Good course for beginners

By krushna l

Sep 14, 2020

it is very useful to me

By Tamal B

Dec 16, 2023

Good Course