This class presents the fundamental probability and statistical concepts used in elementary data analysis. It will be taught at an introductory level for students with junior or senior college-level mathematical training including a working knowledge of calculus. A small amount of linear algebra and programming are useful for the class, but not required.
This course is part of the Advanced Statistics for Data Science Specialization
About this Course
Skills you will gain
- Confidence Interval
- Statistical Hypothesis Testing
Syllabus - What you will learn from this course
Introduction, Probability, Expectations, and Random Vectors
Conditional Probability, Bayes' Rule, Likelihood, Distributions, and Asymptotics
Confidence Intervals, Bootstrapping, and Plotting
Binomial Proportions and Logs
- 5 stars63.44%
- 4 stars23.87%
- 3 stars7.95%
- 2 stars2.58%
- 1 star2.15%
TOP REVIEWS FROM MATHEMATICAL BIOSTATISTICS BOOT CAMP 1
The content is in-depth and the instructor is knowledgeable, but the quiz demands a quite wide knowledge base and does not provide feedback.
Good course, needs updating, since it was a first generation course. Worth taking, but make sure to review a bit of Calculus, especially integration.
I think this a good course for practicing concepts, but the quizzes are not quite appropriate for a beginner's course.
I knew a lot about probability before starting this course, but I didn't know much of anything about frequentist statistics. This course helped me understand some tricky concepts.
About the Advanced Statistics for Data Science Specialization
Frequently Asked Questions
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