About this course: Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including statistical modeling, data oriented strategies and explicit use of designs and randomization in analyses. Furthermore, there are broad theories (frequentists, Bayesian, likelihood, design based, …) and numerous complexities (missing data, observed and unobserved confounding, biases) for performing inference. A practitioner can often be left in a debilitating maze of techniques, philosophies and nuance. This course presents the fundamentals of inference in a practical approach for getting things done. After taking this course, students will understand the broad directions of statistical inference and use this information for making informed choices in analyzing data.
Taught by: Brian Caffo, PhD, Professor, Biostatistics
Bloomberg School of Public Health
Taught by: Roger D. Peng, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health
Taught by: Jeff Leek, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health
| Basic Info |
Course 6 of 10 in the
Data Science Specialization.
|
| Language | English |
| How To Pass | Pass all graded assignments to complete the course. |
| User Ratings |
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|---|---|---|
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Awesome course if you need to understand the theory behind the statistical test you keep reading in scientific articles, if you wanna get the basis with which to learn more complicated regressions models, or if you have studied statistics before and forgotten most if it !
This is exactly the course I was looking for. Great job guys!
I get that the subject matter is hard and so this isn't going to be easy to absorb regardless of how it is taught. My biggest challenge was too many overloaded sentences where to understand the new area that was being focused on there was an assumption that i already had firm grasp on the set of other subject areas referenced in the same sentence. A lot of confusion as well arising from terms that sound the same except for one word or context of their use which maybe could be helped along by a summary slide of terms and meaning at the end of each lecture or section.
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This is one of the most important course in data science specialization series, everyone should take this course very attentive way, because it give very deep insight about the role of statistics in data science.