Data Science 专项课程
Launch Your Career in Data Science. A nine-course introduction to data science, developed and taught by leading professors.
Data Science 专项课程
10 coursesWhat you will learn
- Describe variability, distributions, limits, and confidence intervals
- Make informed data analysis decisions
- Understand the process of drawing conclusions about populations or scientific truths from data
- Use p-values, confidence intervals, and permutation tests
Skills you will gain
Syllabus - What you will learn from this course
1
Week 1: Probability & Expected Values
2
Week 2: Variability, Distribution, & Asymptotics
3
Week: Intervals, Testing, & Pvalues
4
Week 4: Power, Bootstrapping, & Permutation Tests
50%
83%
Top Reviews
The strategy for model selection in multivariate environment should have been explained with an example. This will make the model selection process, interaction and its interpretation more clear.
I found this course really good introduction to statistical inference. I did find it quite challenging but I can go away from this course having a greater understanding of Statistical Inference
Instructors
Brian Caffo, PhD
Professor, Biostatistics
Roger D. Peng, PhD
Associate Professor, Biostatistics
Jeff Leek, PhD
Associate Professor, BiostatisticsAbout Johns Hopkins University
Frequently Asked Questions
When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
What will I get if I pay for this course?
If you pay for this course, you will have access to all of the features and content you need to earn a Course Certificate. If you complete the course successfully, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. Note that the Course Certificate does not represent official academic credit from the partner institution offering the course.
What is the refund policy?
Is financial aid available?
Yes! Coursera provides financial aid to learners who would like to complete a course but cannot afford the course fee. To apply for aid, select "Learn more and apply" in the Financial Aid section below the "Enroll" button. You'll be prompted to complete a simple application; no other paperwork is required.
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