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
About this Course
Skills you will gain
- Feature Engineering
- Data Cleansing
Syllabus - What you will learn from this course
Surveying Your Data
Organizing Your Data
Cleaning Your Data
Finding Features that Matter
- 5 stars76.17%
- 4 stars18.80%
- 3 stars3.13%
- 1 star1.88%
TOP REVIEWS FROM DATA PROCESSING AND FEATURE ENGINEERING WITH MATLAB
Builds up on the introductory concepts from Course 1 to perform inferential statistics and derive the most meaningful features from data in multiple forms.
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
Overall a good course ! Some parts need more explanation and functions need to be explained to a greater depth.
Excellent course and specialization. If you want to get started on Data Science fast this is the way to go.
Thank you Mathworks staff for providing high quality content.
About the Practical Data Science with MATLAB Specialization
Frequently Asked Questions
When will I have access to the lectures and assignments?
What will I get if I subscribe to this Specialization?
What is the refund policy?
Is financial aid available?
Will I have access to MATLAB?
More questions? Visit the Learner Help Center.