Learn fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples.
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
- 5 stars56.88%
- 4 stars26.60%
- 3 stars12.84%
- 2 stars0.91%
- 1 star2.75%
Please, make a reboot of this course with some improvements in the material. More examples\n\nMore solved exercises.\n\nMore homework.
Thank you Dr Brian for the in-depth teaching from fundamental to application in real-world healthcare research
Outstanding professor -- more rigorous than other similar classes. Just the right degree of challenge in the quizzes.
This is amazing course for reviewing categorical statistics.
關於 Advanced Statistics for Data Science 專項課程
Fundamental concepts in probability, statistics and linear models are primary building blocks for data science work. Learners aspiring to become biostatisticians and data scientists will benefit from the foundational knowledge being offered in this specialization. It will enable the learner to understand the behind-the-scenes mechanism of key modeling tools in data science, like least squares and linear regression.