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Data Processing and Feature Engineering with MATLAB

Data Processing and Feature Engineering with MATLAB

FREE

(10 customer reviews)
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9.4/10 (Our Score)
Product is rated as #2 in category MATLAB

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. Accelerating the pace of discovery, …

Instructor Details

Brandon Armstrong is a Senior Online Content Developer at MathWorks. He earned a Ph.D. in physics from the University of California at Santa Barbara in 2010. His research in magnetic resonance has been cited over 600 times and he is co-inventor on 4 patents. Brandon used MATLAB for simulation, data acquisition, and data analysis during his research tenure. In his spare time he enjoys analyzing baseball data looking for hope for his beloved Chicago Cubs.

Specification: Data Processing and Feature Engineering with MATLAB

Duration

26 hours

Year

2020

Level

Intermediate

Certificate

Yes

Quizzes

Yes

10 reviews for Data Processing and Feature Engineering with MATLAB

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  1. Musalula S

    Excellent course

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  2. Daniel A O

    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

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  3. Daniel A O

    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

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  4. Othmane E

    Amazing course from MathWorks 🙂

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  5. Francisco M

    It provides a lot of insight about different tasks Matlab can do for you

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  6. Francisco M

    It provides a lot of insight about different tasks Matlab can do for you

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  7. Kristof S

    Fun (and easy) with the nice addition of playing with the Matlab functions yourself thanks to the temporary toolbox licenses.

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  8. John N D

    Last two modules are quite demanding with a lot of content. It will be helpful to have more examples. Nevertheless, the course was amazing. It will be glad more examples of data store either for tables or signals.

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  9. Dominic F

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

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  10. Jesus A

    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 que se le quiere hacer a los datos, porque y que se espera conseguir.

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    Data Processing and Feature Engineering with MATLAB
    Data Processing and Feature Engineering with MATLAB

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