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 stars76.17%
- 4 stars18.80%
- 3 stars3.13%
- 1 star1.88%
TOP REVIEWS FROM DATA PROCESSING AND FEATURE ENGINEERING WITH MATLAB
Excellent videos, very good datasets, well-thought examples. Only the section with images (in module 5) was rather weak.
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!
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
Overall a good course ! Some parts need more explanation and functions need to be explained to a greater depth.
About the Practical Data Science with MATLAB Specialization

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