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.
AL
Great overview. Very useful exercises and tests. However, Week 5 was a little overwhelming since it is a little bit of everything (signals, images, texts).
DM
Big step up from the previous course but good introduction into data science, what it is and what MATLAB can do to help you get the most out of your analysis. Very good !
DM
A very beautiful course based on the content. Just rushes with the content in the last 3 weeks. A week could be added to evenly distribute the content and not rush through it.
SE
The course content and delivery are top-notch. I like the practicals, quizzes and exams which help to deepen understanding. For me, they'll always be a treasure load of reference materials.
KS
Fun (and easy) with the nice addition of playing with the Matlab functions yourself thanks to the temporary toolbox licenses.
A
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.
VA
The course is good and very well structured. It helps you understand the steps involved in feature engineering and provides proper ways to implement them in MATLAB.
LF
I am impressed with the instructors lectures and I am very satisfied with what I have been able to accomplish with my programming and machine learning skills
AT
The course was easy to follow and the sections in the week 5 module showed some real life applications of the methods learnt throughout the course.
GV
Excellent videos, very good datasets, well-thought examples. Only the section with images (in module 5) was rather weak.
ET
The course if a little bit challenging but in a good way. The examples and practice quizzes were very useful. Although some videos need improvement
LS
Great lectures! Great visuals, sounds, explanations are crystal clear, concise and yet in depth. It's a well paced course with very attentive instructors. Really enjoyed taking it!
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Excellent course. Although I felt Week 5 was too rushed.
The course content and delivery are top-notch. I like the practicals, quizzes and exams which help to deepen understanding. For me, they'll always be a treasure load of reference materials.
Overall I will rate it 9/10 which is really good. Only downside for me is that it was really fast, not enough interactive assignments and sometimes difficult to follow
Amazing course! It allows to acquire many practical skills (as well as the necessary theorie) for data analysis over a variety of data type. Great quality of content : videos and readings - with a lot of examples (very helpful to understand how Matlab works, and the tips we can use).
I definitely recommand this course to everyone having to deal with data in their job. I will now try to apply the acquired knowledge to my own data.
Other topics are adressed in an exploratory way, a good way to discover image and text analysis, as well as clustering data using machine learning.
A lot of data science bs in here. I hope this course would introduce me to MatLab and not to Data Science.
This Matlab course is easy to understand and has lots of practice problems with answers to learn from. The staff also actively answer any questions you ask in the forums. Some basic Matlab knowledge is required, but not much. My advice: You can choose between using Matlab Online or downloading Matlab on your pc. I recommend spending some extra time in the first week to download Matlab, because the online version expires your session after 1 hours and it also computes slower. (But this is a Matlab problem not a course problem)
Thanks for the course. I would like to take the next course. I think Matlab is very powerful data processing software. By learning from the first and second courses, I have gotten a lot of new knowledge. I still want learn more about Matlab, so I will review all the courses (first and second courses). After the next course's ready, I will feel ready for its. If I have an oppurtunity, I would like to review and become mentor. Maybe mentor for my friend in my university (or this course if I'm worthy).
Learning about data processing and feature engineering with MATLAB was incredibly insightful. The course provided a comprehensive overview of techniques to effectively handle and manipulate data, as well as methods to engineer meaningful features for analysis. The practical examples and exercises were particularly helpful in reinforcing the concepts taught. Overall, it was a valuable learning experience that enhanced my skills in data analysis and MATLAB proficiency. Highly recommended!
This Course was easy to grasp and very much beginner friendly, it picks up the pace ever so little over the first course while expanding the variety of knowledge imparted onto the students. I would definitely advise anyone who takes this course to feel free to ask any doubts in the forum as the community is very responsive and are quick to clear doubts. Overall, it was great fun learning about data processing with the ease provided with MATLAB as compared to other tools
I loved the course and depth it covers.
After doing many other courses in multiple MOOCs, I find this one very well organized and promising in terms of making someone ready for the get on to the job and apply these things practically.
I have done many other courses from MATLAB on their own academy and I find, its always worth to spend time on their course specially if you come from a scientific background.
I highly recommend the course. It covers all the important topics and is quite informative about feature engineering and its implementations on different domains. Pace is perfect as well. It also provides an unique programming mindset and skills in MATLAB. Instructors are helpful and nice. Keep in mind that the course might be a bit difficult unless you are familiar with basics of data science.
Another excellent course offered by Mathworks. Many advanced uses of Live Editor & other Machine Learning apps are presented in a subtle way. Though in comparison to the previous course of the specialization here video lectures are rather faster and does not go in depth. You'll have to check the documentation of the function for better understanding. Overall it was very much helpful for me.
The instructors conveyed their intuitions regarding the concepts of the course in a clear and concise manner. The content of the course gave me the opportunity to get a hands on experience on data processing and feature engineering. I really enjoyed it and I am looking forward to enroll to the next course!
i have no words, Excellent. A well-rounded course, ideal for those who want to precisely digest details of command handling, functions and operations applied to data processing and acquisition of characteristics for the implementation of automatic learning algorithms. 100% recommendable.
un curso suficientemente completo con distintos enfoques y tipos de data para familiarizarse con la mayor cantidad de aplicaciones posibles. Requiere establecer un orden mental y conocer exactamente qué se le quiere hacer a los datos, porqué y qué se espera conseguir.
The course was well designed and organized. I have gained a lot of knowledge and skills from this course. Thank you instructors and every member who have made this course possible. Thank you for providing me this wonderful opportunity to be part of this course.
A very helpful course. With really exceptional insights. I have gone through all the materials and i am looking forward to use the knowledge gained. Wish i had known all this earlier. The new knowledge will really increase my productivity
This course Data Processing and Feature Engineering with MATLAB is excellent for learners. It covers the important domain of Feature Engineering such as signal, image, and text preprocessing. Thanks Cooursera and Mathworks.
I must say it is a great course with a lots of practical applications. However, I think the course contents are too rich to be covered in just 5 weeks. It will be better for fellow peers if the course's span is increased.
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.