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 stars63.34%
- 4 stars24.07%
- 3 stars8.02%
- 2 stars2.38%
- 1 star2.16%
TOP REVIEWS FROM MATHEMATICAL BIOSTATISTICS BOOT CAMP 1
I like really course content but it would be better to add exlaination for quiz (especially when initial answer is wrong, now student can only see explainations when answer question right)
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.
I liked the course. Need good maths skills. Would prefer to have a review/HW after each lecture than at the end of each week.
Very concise, well-presented course. This was my second time taking it as a refresher. Prof. Caffo does a great job presenting the materials. However, prepare to be challenged.
About the Advanced Statistics for Data Science Specialization
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