Bayesian Statistics: From Concept to Data Analysis

Course Link: https://www.coursera.org/learn/bayesian-statistics

Bayesian Statistics: From Concept to Data Analysis
Bayesian statistics are the branch of statistics that deals with probability, distribution, and Bayes’ rule. This course covers Bayesian concepts from concept to data analysis, including modeling and exploration of the Bayesian software package R. Bayesian statistics are useful for implementing statistics that are based on probability, distribution, and Bayes’ rule. The course is designed to be as fast as possible for you to explore and apply Bayesian concepts, while at the same time taking advantage of the open source software package R and the library of statistical inference tools available from the R Foundation.Bayesian Statistics: From Concept to Data Analysis
Bayesian Distribution
Bayesian Testing
Bayesian Reconstruction
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 You’ll begin the Capstone project with a series of conversations with fellow students as you learn about different facets of social life in San Francisco.

You’ll also be introduced to the Capstone project and the social context of discussion in the group.

In the summer of 2018, you’ll be able to engage in online discussions of any kind, including those in private, peer-to-peer and online forums.Introduction to Capstone and Conversation in the Group
Introduction to Capstone Project
Capstone Discussion
Introduction to Capstone Project 2
Biology: What is it, and how does it differ from other sciences?
Do you want to know more about the biology behind today’s dietary trends, the human biology that informs our behavior, our environment, and our development? This course will introduce you to the major topics of biology across the board, including the nutrition and disease sciences, the genetics of obesity, the neurobiology of obesity, the human immunology that helps us fend off illness, the pedagogical potential of biology in the classroom, and the controversies that remain about the appropriateness of some theories for teaching and learning.

Upon completion of this course, you will be able to:
1. Explain the major topics of biology across the board, including the nutrition and disease sciences
2. Identify the scientific controversies that remain about the appropriateness of different theories for teaching and learning
3. Analyze the science behind a number of popular dietary trends such as Paleo, Atkins, and gluten-free diets, and the related health conditions
4. Explain the pedagogical potential of biology in the classroom, and the controversies that remain about the appropriateness of some theories for teaching and learning
5. Analyze the scientific evidence for and against various dietary trends
6. Explain the origins and development of obesity
7. Discuss the controversy over the origins of obesity
8. Familiarize yourself with the major scientific questions that arise from the study of physiology and the environment, including questions about the role of genetics and environmental

Course Link: https://www.coursera.org/learn/bayesian-statistics