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 novel uses of regression models such as scatterplot smoothing
- Investigate analysis of residuals and variability
- Understand ANOVA and ANCOVA model cases
- Use regression analysis, least squares and inference
Skills you will gain
Syllabus - What you will learn from this course
1
Week 1: Least Squares and Linear Regression
2
Week 2: Linear Regression & Multivariable Regression
3
Week 3: Multivariable Regression, Residuals, & Diagnostics
4
Week 4: Logistic Regression and Poisson Regression
22%
83%
14%
Top Reviews
Great course, very informative, with lots of valuable information and examples. Prof. Caffo and his team did a very good job in my opinion. I've found very useful the course material shared on github.
Excellent course that is jam-packed with useful material! It is quite challenging and gives a thorough grounding in how to approach the process of selecting a linear regression model for a data set.
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.
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Is financial aid available?
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