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.
This course is part of the Practical Data Science with MATLAB Specialization
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About this Course
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Try Coursera for BusinessSkills you will gain
- Feature Engineering
- Matlab
- Data Cleansing
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Syllabus - What you will learn from this course
Surveying Your Data
Organizing Your Data
Cleaning Your Data
Finding Features that Matter
Reviews
- 5 stars76.41%
- 4 stars18.55%
- 3 stars3.14%
- 1 star1.88%
TOP REVIEWS FROM DATA PROCESSING AND FEATURE ENGINEERING WITH MATLAB
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 !
Great intro and additional learning into data analysis, handling, processing filtering plotting and manipulation with MATLAB.
Good course, teaches you how to process data to extract features in preparation for application of supervised learning algorithms.
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!
About the Practical Data Science with MATLAB Specialization

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