Mathematical Biostatistics Boot Camp 2
Learn fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples.
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Syllabus
Syllabus - What you will learn from this course
Week 1
Hypothesis Testing
Week 2
Two Binomials
Week 3
Discrete Data Settings
Week 4
Techniques
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:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
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 course is extremely structured. It is a fantastic "boot camp" for students who would like to learn statistics, opening the door of future data analysis.
Thank you Dr Brian for the in-depth teaching from fundamental to application in real-world healthcare research
Please, make a reboot of this course with some improvements in the material.
More examples
More solved exercises.
More homework.
This is amazing course for reviewing categorical statistics.
