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Learner Reviews & Feedback for Data Processing and Feature Engineering with MATLAB by MathWorks

4.7
stars
339 ratings

About the Course

In this course, you will build on the skills learned in Exploratory Data Analysis with MATLAB to lay the foundation required for predictive modeling. This intermediate-level course is useful to anyone who needs to combine data from multiple sources or times and has an interest in modeling. These skills are valuable for those who have domain knowledge and some exposure to computational tools, but no programming background. To be successful in this course, you should have some background in basic statistics (histograms, averages, standard deviation, curve fitting, interpolation) and have completed Exploratory Data Analysis with MATLAB. Throughout the course, you will merge data from different data sets and handle common scenarios, such as missing data. In the last module of the course, you will explore special techniques for handling textual, audio, and image data, which are common in data science and more advanced modeling. By the end of this course, you will learn how to visualize your data, clean it up and arrange it for analysis, and identify the qualities necessary to answer your questions. You will be able to visualize the distribution of your data and use visual inspection to address artifacts that affect accurate modeling....

Top reviews

A

Jan 6, 2022

It was a valuable experience to attend this course. Through its five modules, I acquired a wide range of common and domain specific skills for cleaning and smoothing data and engineering features.

SK

Mar 14, 2020

Highly recommended for people with patience, and deep interest in Data Processing and Feature Engineering. It is not easy. However, MATLAB instructional tools make this process so much simplified!

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101 - 116 of 116 Reviews for Data Processing and Feature Engineering with MATLAB

By May X

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Jun 10, 2020

Overall very good course. I wish there could be more exercises in the last two modules.

By Ishtiza A

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Mar 17, 2020

The overall content was good. Quizzes could be more independent and technical.

By Muhammad N A

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Sep 24, 2020

Excellent course but Week 5 is extremely rushed and fast-paced

By Aaron C

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Feb 22, 2021

Fairly challenging. Be sure to budget lots of time.

By Andre H

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Aug 4, 2020

Practical and powerful techniques and examples

By Myriam C R S

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Aug 13, 2020

A lot of confusing information in the week 4

By FRANKLIN A S C

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Dec 30, 2020

Great Course, I recommend it

By Andre C

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Apr 24, 2023

Im subscribed as audit, and dont have the opportunity to see the quizzes grade after doing the quizz. So I cant understand the possible mistakes I did and improve and learn more the content. Why the quizzes are not completely available to audit students?

Another point: I have 7 days to finish my matlab license. The coursera site suggested me to reset deadlines, but automatically remove the content of futures weeks. So I can not complete the course in my last few days cause coursera does not permit to access next weeks yet. This does not work, please change these rules that just does not make students learn. Please.

By Dom F

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Mar 29, 2020

Interesting course, but much less engaging than the previous Exploratory Data Analysis course. Too many readings and not enough activities.

By ARYAN R B

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Jun 18, 2024

explanations should be at a slow pace. rest everything is amazing and brilliant

By Myint M M

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Jul 29, 2020

I can get much knowledge and experience form online courses.

By Amal K

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Sep 18, 2020

Tough for a begiiner

By MEHLAM Z

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Aug 11, 2020

it was very helpful

By A. M

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Aug 1, 2020

A lot of data science bs in here. I hope this course would introduce me to MatLab and not to Data Science.

By Mohammad S

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Jul 19, 2020

Seemed too rushed. Instructors should be changed, they were not very clear.

By RIM B H K

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May 2, 2020

je ne veux pas compléter ce cours comment faire svp