Data Science Project MATLAB for the Real World
Like most subjects, practice makes perfect in Data Science. In the capstone project, you will apply the skills learned across courses in the Practical Data Science with MATLAB specialization to explore, process, analyze, and model data. You will choose your own pathway to answer key questions with the provided data.To complete the project, you must have mastery of the skills covered in other courses in the specialization. The project will test your ability to import and explore your data, prepare the data for analysis, train a predictive model, evaluate and improve your model, and communicate your results.
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Syllabus
Syllabus - What you will learn from this course
Week 1
Import and Explore the Data
Week 2
Create and Evaluate Features
Week 3
Apply Machine Learning
Week 4
Communicate Your Results
FAQ
When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
Reviews
The capstone project gives full autonomy to the learner to execute the project in whichever way he deems good, which is a great learning step in the data science workflow
Very good course, but it requires a lot more of time dedication compared to the previous courses.
I just loved this whole specialization. Thanks, Mathworks and all instructors for these awesome courses. One of the best in Coursera. Looking forward to Deep Learning, CNN courses next from you.
A very good project on classification problems. Thank you so much!
